The DOI matches its Crossref record; 213 of the 259 references it cites were found in a registry or an index; 4 of the 308 sources its claims cite were checked for support.
Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature
Open accessAbstract
The development of human cognition results from the emergence of coordinated activity between distant brain areas. Network science, combined with non-invasive functional imaging, has generated unprecedented insights regarding the adult brain's functional organization, and promises to help elucidate the development of functional architectures supporting complex behavior. Here we review what is known about functional network development from birth until adulthood, particularly as understood through the use of resting-state functional connectivity MRI (rs-fcMRI). We attempt to synthesize rs-fcMRI findings with other functional imaging techniques, with macro-scale structural connectivity, and with knowledge regarding the development of micro-scale structure. We highlight a number of outstanding conceptual and technical barriers that need to be addressed, as well as previous developmental findings that may need to be revisited. Finally, we discuss key areas ripe for future research in order to (1) better characterize normative developmental trajectories, (2) link these trajectories to biologic mechanistic events, as well as component behaviors and (3) better understand the clinical implications and pathophysiological basis of aberrant network development.
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150 Not checked yet · 22 Own interpretation · 6 Own method · 2 Supported so far · 2 No basis given · 1 Partly supported · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Over the course of the first two years of life, these regions undergo a precise evolution to gradually bring the network ‘online’ (Damaraju et al., 2014; Gao et al., 2013; Gao et al., 2009).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
- Supportedcites Damaraju et al., 2014 source
The Introduction reports that the default-mode network expanded from 6 regions in early infancy to 13 at one year and 19 at two years, citing Gao et al. (2009). The Results also find increased connectivity among posterior default-mode regions between 4 and 9 months. Together, these passages support the paraphrase of gradual network integration over the first two years, although Damaraju et al.'s own longitudinal measurements cover only 4 to 9 months. (LLM, conf=0.86)
- Supportedcites Gao et al., 2013 source
The Discussion reports that the default network develops from an isolated region in neonates into a highly integrated structure by age 1, then continues to evolve more modestly through age 2. This supports the paraphrase’s account of integration across the first two years, with most change occurring in the first year. (LLM, conf=0.90)
- Not checked yetcites Gao et al., 2009 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
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In the paper
“RSNs have proven to be highly reproducible in the adult brain (Doucet et al., 2011; Gordon et al., 2016; Power et al., 2011; Yeo et al., 2011)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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In the paper
“whereas neonatal hubs primarily involve early sensorimotor, visual, and limbic regions (De Asis-Cruz et al., 2015; Fransson et al., 2011; Gao et al., 2011).”
- Also stated in: § Regional hub metrics · plain
“whereas neonatal hubs primarily involve early sensorimotor, visual, and limbic regions (De Asis-Cruz et al., 2015; Fransson et al., 2011; Gao et al., 2011)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Regional hub metrics
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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- Also stated in: § Regional hub metrics · plain
None of the sources cited for this claim have been checked yet.
In the paper
“and are associated with task-relevant behavioral performance (Cole et al., 2012; Lewis et al., 2009).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“and that FC aberrations may point towards the etiological bases of neuropsychiatric disorders (e.g. (Swartz and Monk, 2014; van den Heuvel et al., 2016a)).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
- Not checked yetcites Swartz and Monk, 2014
- Not checked yetcites van den Heuvel et al., 2016a
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“First, most individual cognitive abilities arise not solely from a particular brain area, but from networks of activity spanning multiple distributed regions (Petersen and Sporns, 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
What the sources say
- Not checked yetcites Petersen and Sporns, 2015 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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In the paper
“This intricate structural-functional interplay underscores that the ontogeny of functional networks likely reflects programmed neurodevelopmental events (e.g. neurogenesis, cell death, myelination, pruning, synaptic plasticity, and glial development) (Innocenti and Price, 2005; Stiles and Jernigan, 2010)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“properties that, in turn, undergo experience-dependent and activity-dependent modulation over the lifespan (Huttenlocher, 2002; Markham and Greenough, 2004; Scholz et al., 2009).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Patterns of functional connectivity (FC) within and between the major RSNs are increasingly understood as intrinsic properties of brain function, given that they strongly predict patterns of interregional co-activation across different tasks (Cole et al., 2014; Smith et al., 2009)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“specific cognitive capacities co-evolve with complex network effects within and between different RSNs, throughout postnatal development”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 56
- Probably not a substantial claim. 11
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Small-worldness (De Asis-Cruz et al., 2015; Fransson et al., 2011; Gao et al., 2011), as well as its constituent properties of global efficiency and average clustering coefficient, are already high in neonates.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Global network metrics
What the sources say
- Supportedcites De Asis-Cruz et al., 2015 sourceExperimental — accuracy not yet measured
De Asis-Cruz et al. directly report small-world topology in healthy full-term newborns: the small-world index exceeded 1 at every tested threshold (range 1.15–2.70), and clustering was significantly greater than in random networks. They also found that global efficiency exceeded network cost, although efficiency was intermediate between random and regular networks rather than simply described as “high.” The claim is a reasonable paraphrase, with that qualification; the prior disputed verdict is not supported by contrary evidence. (LLM, conf=0.82)
- Not matchedcites Fransson et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Gao et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Prior to 2012, multiple studies had found that functional connectivity between anatomically proximate ROIs gradually decreased, whereas long-range functional connections, especially anterior-posterior links, gradually increased until adulthood (Dosenbach et al., 2010; Fair et al., 2009; Kelly et al., 2009; Supekar et al., 2009).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Supportedcites Dosenbach et al., 2010 source
The paper states that maturation involves weakening short-range connections between nearby areas and strengthening long-range connections, particularly along the anterior–posterior axis (passage 6, section labeled Abstract). It also cites earlier work for this pattern (passage 2) and reports a maturation curve approaching a plateau around age 22 (passage 3). (LLM, conf=0.93)
- Not checked yetcites Fair et al., 2009
- Not checked yetcites Kelly et al., 2009 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
None of the sources cited for this claim have been checked yet.
In the paper
“followed soon after by similar findings of bilaterally correlated activity in early visual and early auditory cortex (Cordes et al., 2001; Kiviniemi et al., 2000; Lowe et al., 1998).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“ICA maps reproducibly reveal early visual, early auditory, and primary sensory/motor components, as well as other components comprising distributed portions of the frontal, parietal, and temporal association cortices (Damoiseaux et al., 2006).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
What the sources say
- Not checked yetcites Damoiseaux et al., 2006 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > The human brain is organized into multiple distributed functional brain networks that can be measured at multiple spatiotemporal scales
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Correlated resting-state activity was first identified in bilateral sensorimotor cortex by (Biswal et al., 1995)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
What the sources say
- Not checked yetcites Biswal et al., 1995 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“This property, which is ubiquitous across vastly different scales of investigation in the brain, is thought to emerge from a biological need to balance the benefits of integration against the costs of long-range wiring (Collin et al., 2013; Vertes and Bullmore, 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Graph theory techniques for defining network organization > Global Network Properties
What the sources say
- Not checked yetcites Collin et al., 2013
- Not checked yetcites Vertes and Bullmore, 2015 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These trends are consistent with the presence of basic somatosensory and visual functions at birth, and help contextualize findings that primary sensory regions are generally the first cortical areas to reach plateaus or peaks in growth (Geng et al., 2016; Gilmore et al., 2012; Lyall et al., 2015; Scott et al., 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Rich-club nodes tend to span multiple RSNs, thereby facilitating integration between them (Sporns, 2013; van den Heuvel and Sporns, 2013).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Graph theory techniques for defining network organization > Node Measures
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“These sensory networks undergo subtle refinements and strengthening over the first two years of life, and by age two bear substantial resemblance to their adult counterparts (Gao et al., 2015a; Lin et al., 2008).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
- Not checked yetcites Gao et al., 2015a
- Not checked yetcites Lin et al., 2008 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“By two years of age, the network bears adult-like qualities, although coupling between distant anterior and posterior nodes of the network remain relatively low.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“the DMN is considered “task-negative” as it has been linked to internal mentation and is known to deactivate during processing of external stimuli (Buckner et al., 2008)”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Graph theory techniques for defining network organization > Community Structure
What the sources say
- Not checked yetcites Buckner et al., 2008 source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“RSNs are already present during infancy, and potentially to some extent in utero (Thomason et al., 2013).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
- Not checked yetcites Thomason et al., 2013 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Both effects in tandem are crucially involved in cognitive control (Dwyer et al., 2014) and executive functioning (Reineberg et al., 2015), and are differentially associated with performance on simple motor tasks versus complex working memory tasks (Cohen and D’Esposito, 2016).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Graph theory techniques for defining network organization > Global Network Properties
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These modules include 1) segregated, non-distributed modules for sensory/motor activity, such as in early visual cortex and in somatomotor cortex, 2) the default-mode network (DMN), comprising the medial prefrontal, posterior cingulate/precuneus, angular gyrus, and medial temporal cortex”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Graph theory techniques for defining network organization > Community Structure
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“doubling in volume during the first year and reaching 80–90% of adult volume by age 3 (Courchesne et al., 2000; Knickmeyer et al., 2008).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The brain’s major fiber pathways become consolidated through myelination, though their presence is largely established prenatally (Stiles and Jernigan, 2010).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
- Not checked yetcites Stiles and Jernigan, 2010 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By extension, one could reason that developmental modifications in brain FC, whether normative or pathological, are also best understood via an emerging network science that merges structural and functional connectivity data.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Introduction > Analytic approaches to functional connectivity are evolving rapidly
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
None of the sources cited for this claim have been checked yet.
In the paper
“This same time period is marked by rapid and widespread cortical synaptogenesis, followed by a protracted period of synapse elimination and cell loss which carries into adulthood (Huttenlocher, 2002; Innocenti and Price, 2005).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Overall structural and functional organization
What the sources say
- Not checked yetcites Huttenlocher, 2002
- Not checked yetcites Innocenti and Price, 2005 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Community structure assessed at two years of age (Alcauter et al., 2015b; Gao et al., 2015b) indicates the presence of distinct modules encompassing early auditory, early somatomotor, and early visual areas, and potentially, other prototypical modules similar to the canonical salience, frontoparietal, and DMN seen in adults.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Development of community structure from birth
What the sources say
- Not checked yetcites Alcauter et al., 2015b
- Not checked yetcites Gao et al., 2015b
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Concomitantly, long-distance links are preferentially strengthened during the first year of life, leveling off thereafter (Gao et al., 2011).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Global network metrics
What the sources say
- Not checked yetcites Gao et al., 2011 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Other considerations include early postnatal changes in cerebral vasculature, and altered state of consciousness when scanning very young participants.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Considerations in infant rs-fcMRI
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“different community detection algorithms can provide unique results and all are not appropriate for any given experimental condition (Gates et al., 2016).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Considerations in infant rs-fcMRI
What the sources say
- Not checked yetcites Gates et al., 2016 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“synchronization and homotopic coupling from birth through the first two years of life (Gao et al., 2015b; Homae et al., 2010), concomitant with decreasing between-module connectivity (i.e. greater functional specialization).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Development of community structure from birth
What the sources say
- Not checked yetcites Gao et al., 2015b
- Not checked yetcites Homae et al., 2010 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“A natural benefit is the attenuation of micromovements and their attendant signal artifacts.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Considerations in infant rs-fcMRI
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“One recent report compared community structure in adults against that in 1–2 year olds using closely matched methods (Eggebrecht et al., 2017), providing the first direct evidence for numerous anatomically localized modules in the infant brain and their relationship to adult functional organization (Figure 2C).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Development of community structure from birth
What the sources say
- Not checked yetcites Eggebrecht et al., 2017 source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Rich clubs are also evident in both structural and functional networks in neonates along with both high functional modularity and integration capacity between modules (Ball et al., 2014; Scheinost et al., 2016a; van den Heuvel et al., 2015b).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Global network metrics
What the sources say
- Not checked yetcites Ball et al., 2014 source
- Not checked yetcites Scheinost et al., 2016a
- Not checked yetcites van den Heuvel et al., 2015b
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Such anatomical areas are likely critical for the development of complex cognitive and social abilities, and are potentially uniquely susceptible to early environmental influences (Graham et al., 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Regional hub metrics
What the sources say
- Not checked yetcites Graham et al., 2015 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These latter modules also exhibit substantial growth of distributed synchronization and homotopic coupling from birth through the first two years of life (Gao et al., 2015b; Homae et al., 2010), concomitant”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Development of community structure from birth
What the sources say
- Not checked yetcites Gao et al., 2015b
- Not checked yetcites Homae et al., 2010 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“These properties only appear to marginally increase during the first year of life, plateauing thereafter until at least the end of the second year (Gao et al., 2011).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Global network metrics
What the sources say
- Not checked yetcites Gao et al., 2011 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The first two years of life reflect a gradual decrease in the hubness of sensorimotor areas and increased involvement of various association cortical areas, especially the medial frontal and parietal portions of the default mode (Gao et al., 2011).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Functional brain organization in infants and toddlers > Regional hub metrics
What the sources say
- Not checked yetcites Gao et al., 2011 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The DMN was found to exhibit both increasingly synchronized within-network and between-network connections.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Not checked yetcites Gu et al., 2015b
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Among cortical areas, some have reported increasing hubness of frontal nodes (Cao et al., 2014; Wu et al., 2013) while in other lobes there have been mixed reports of increasing (Cao et al., 2014; Grayson et al., 2014) and decreasing (Wu et al., 2013; Zuo et al., 2012), or stable (Hwang et al., 2013) hubness.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > Regional hub metrics
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These trends pointed to coherent changes that involved a dampening of non-specific local spread of activity and strengthening of long-range links, facilitating cognitive development through modular specialization and selective cross-network integration (Bunge and Wright, 2007; Fair et al., 2009; Uddin, 2011; Uddin et al., 2011).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Not checked yetcites Bunge and Wright, 2007 source
- Not checked yetcites Fair et al., 2009
- Not checked yetcites Uddin, 2011
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Similar, albeit not identical developmental findings, are observed by (Marek et al., 2015)), who found increased cross-network integration between the cingulo-opercular/salience and somatomotor modules over the age of 10–26, which they showed to be associated with the development of cognitive control.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Not checked yetcites Marek et al., 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“More detailed network analyses have revealed that specific connections to cortical hub regions increase during childhood and adolescence (Grayson et al., 2014; Hwang et al., 2013) resulting in increased rich club coefficients in adulthood (Cao et al., 2014; Grayson et al., 2014).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > Regional hub metrics
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Interestingly, frontal and parietal cortical gray matter (but not white matter) volume decreases across this same age bracket, and exhibits curvilinear trajectories that are closely correlated to the loss of slow-wave power in these same areas (Buchmann et al., 2011; Smit et al., 2012; Whitford et al., 2007).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > EEG/MEG findings
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Despite this “adult like” level of organization, refinements within and between systems does appear to occur over time, although details to this end are still being worked out (Fair et al., 2012b; Gu et al., 2015b; Marek et al., 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Not checked yetcites Fair et al., 2012b
- Not checked yetcites Gu et al., 2015b
- Not checked yetcites Marek et al., 2015 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Somewhat unexpectedly, two reports found path length to also increase with age (Boersma et al., 2011; Smit et al., 2012), although more recent work demonstrates age-related reductions (Miskovic et al., 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > EEG/MEG findings
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Resting-state networks obtained using electrophysiological recording (EEG or MEG) provide greater temporal resolution (<100Hz) relative to rs-fMRI (<0.1Hz) and therefore offer complementary insights about functional development.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > EEG/MEG findings
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“At first glance, these mixed or non-significant findings might suggest that regional properties of cortical hubs are largely established during very early development.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > Regional hub metrics
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, there is recent convergence of data suggesting that network structure continues to evolve after late childhood in ways that are not primarily distance-dependent; rather, complex but specific changes may coincide with the development of specific cognitive abilities.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“On the other hand, networks involved in task-positive cognitive function (e.g. salience, frontoparietal executive, and attentional networks), being generally well-connected with other systems, became increasingly segregated and exhibited increasingly variable spatial structure.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > General observations
What the sources say
- Not checked yetcites Gu et al., 2015b
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“It is important to note that these studies are generally unable to map activity to precise brain areas due to challenges in source localization, and often treat the scalp sensors as the network nodes.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Developmental refinements of network structure into adulthood > EEG/MEG findings
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Another study found that age-related changes in FC disproportionately impacts polysynaptic connections (Betzel et al., 2014), although this study was performed across the lifespan and may reflect an effect of aging.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Structure-function relationships over development
What the sources say
- Not checked yetcites Betzel et al., 2014 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The most contentious debate probably concerns the use of global signal regression (GSR) – arguably the most effective motion-denoising technique currently available (Burgess et al., 2016; Power et al., 2015; Yan et al., 2013).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > FMRI signal artifacts
What the sources say
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Predictive models have been extensively validated on both rs-fcMRI and EEG data (Chu et al., 2015), suggesting that SC strongly shapes and constrains activity across temporal scales.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Structure-function relationships over development
What the sources say
- Not checked yetcites Chu et al., 2015 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Development of temporal dynamics
What the sources say
- Not checked yetcites Hutchison and Morton, 2015
- Not checked yetcites Marusak et al., 2016
- Not checked yetcites Qin et al., 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Currently, the highest reported correlation stands at r = 0.59 (Donahue et al., 2016), though it is often much lower (van den Heuvel et al., 2015a).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > The role of animal models
What the sources say
- Not checked yetcites Donahue et al., 2016 source
- Not checked yetcites van den Heuvel et al., 2015a
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The authors note that instability is not absent, but that it exists in the form of measurable state transitions (e.g. from awake to sleep, or eyes open verus closed), and that there is considerably less evidence for intrinsic dynamics otherwise.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Development of temporal dynamics
What the sources say
- Not checked yetcites Laumann et al., 2016 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“head motion increases functional correlations between spatially proximal nodes and decreases correlations between distant nodes (Power et al., 2012).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > FMRI signal artifacts
What the sources say
- Not checked yetcites Power et al., 2012 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The first challenge is the ever-expanding evidence that Schizophrenia (Meda et al., 2014; Satterthwaite and Baker, 2015), ADHD (Costa Dias et al., 2015; Fair et al., 2012a; Gates et al., 2014; Karalunas et al., 2014), Autism (Jeste and Geschwind, 2014; Rudie et al., 2012), and potentially other DSM defined disorders, each constitutes a highly heterogeneous set of etiologies.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Clinical disorders of neurodevelopment
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“New multimodal approaches that also anchor surface-based registrations to other structural or functional characteristics of an individual are likely to improve subject to subject registrations, and hence reduce intersubject variability, even more (e.g.(Glasser et al., 2016b; Robinson et al., 2014).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > Atlas or template choice
What the sources say
- Not checked yetcites Glasser et al., 2016b
- Not checked yetcites Robinson et al., 2014 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“probing cellular and molecular markers across the whole human brain at high-throughput is exceptionally difficult (Richiardi et al., 2015) and cannot be done under strict experimental conditions.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > The role of animal models
What the sources say
- Not checked yetcites Richiardi et al., 2015 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Community structure at birth is coarse and primitive, but gradually evolves into a denser, more spatially structured, and distributed organization.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Conclusions
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
In the paper
“One interesting aspect of the work in (Grayson et al., 2016) is how tightly functional imaging conditions had to be controlled in order to reveal novel structure-function relationships and in order to maximize model performance”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > The role of animal models
What the sources say
- Not checked yetcites Grayson et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“They also contain distinct combinations of inputs and outputs, which in turn group related areas into specialized networks (Felleman and Van Essen, 1991).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > Parcellation choice
What the sources say
- Not checked yetcites Felleman and Van Essen, 1991 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“FC networks in one highly sampled individual converged as a function of the timeseries length used to extract correlations and were extremely reproducible using approximately 1 hour of motion-free data (Laumann et al., 2015).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > Test-retest reliability
What the sources say
- Not checked yetcites Laumann et al., 2015 source
plaindirectSingle case- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“a very large portion of the current human developmental literature is in dire need of re-examination in light of recent developments regarding systematic artifacts in the imaging signals.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > The role of animal models
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Global topological metrics for structural and functional networks show stability across different parcellation schema of similar density, but vary considerably as a function of network size (de Reus and van den Heuvel, 2013; Fornito et al., 2010; Zalesky et al., 2010).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > Parcellation choice
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Motion artifacts appear to be tightly related to clinical factors (Fair et al., 2012b) and a whole host of behavioral phenotypes and metrics (Siegel et al., 2016).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > FMRI signal artifacts
What the sources say
- Not checked yetcites Fair et al., 2012b
- Not checked yetcites Siegel et al., 2016
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Strong artifacts due to motion, in addition to their relevance for fMRI, have been noted in diffusion weighted imaging (Roalf et al., 2016; Yendiki et al., 2014) and cortical thickness measurements (Reuter et al., 2015; Savalia et al., 2017).”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Methodological challenges and recommendations > FMRI signal artifacts
What the sources say
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such findings are consistent with the notion that different pathologies in brain function may lead to related clinical outcomes, and underscore the importance of identifying individualized abnormalities.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > Clinical disorders of neurodevelopment
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Experimental animal models should therefore remain indispensable for this purpose the foreseeable future.”
§ Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature > The role of animal models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
The paper relies on this without support.
Coordinated activity across distant brain regions is fundamental to human brain function.
“Coordinated neuronal activity between anatomically disparate regions is an essential feature of human brain function.”
The paper relies on this without support.
The functional connectivity measures used in the reviewed studies reflect neural connectivity rather than non-neural artifacts.
“A crucial caveat to the above observations is the potential for unidentified sources of artifact in infant studies”
The paper relies on this without support.
Developmental trajectories observed in cross-sectional studies reflect true longitudinal development.
“Many of the network changes seen during infancy reflect long-term trajectories that extend into childhood and adolescence.”
The paper relies on this without support.
Adult network organization is a valid reference for assessing infant and child network maturity.
“Indeed, there are now at least 3 reports that suggest the network structure in children as defined by community detection (see Figure 3) are largely similar to the adult (Fair et al., 2012b; Marek et al., 2015; Power et al., 2012).”
The paper relies on this without support.
The studies reviewed are sufficiently comparable to synthesize trends across them.
“Taken together, these studies point towards several trends that are consistent with results from seed and component based approaches”
The paper relies on this without support.
Microscale architectural features such as gene expression and receptor densities evolve with age.
“and undoubtedly evolve with age.”
The paper relies on this without support.
Motion tends to be greater in patient populations and younger children.
“Motion tends to be greater in patient populations and younger children, posing a fundamentally important challenge for developmental research.”
The paper relies on this without support.
Even less is known about the stability of areal parcellations at younger ages.
“and even less known about the stability of these parcellations at younger ages.”
The paper relies on this without support.
Cortical folding patterns change continually from birth into adulthood, especially during infancy.
“Cortical folding patterns change continually from birth into adulthood, and especially during infancy.”
The paper relies on this without support.
Infancy is a time during which image contrasts in various MR acquisitions change dramatically.
“Infancy is also a time during which the image contrasts in various MR acquisitions changes dramatically.”
The paper relies on this without support.
Invasive tract-tracer injections remain the gold standard for identifying and quantifying interareal connection weights.
“Invasive tract-tracer injections, a method that is only feasible in animal models, remains the “gold standard” for identifying and quantifying interareal connection weights.”
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BackgroundDynamic reconfiguration of frontal brain networks during executive cognition in humans
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“Unfortunately, follow-up work on this topic in humans has been relatively scant, and this work was prior to new information regarding tractography artifacts (Calabrese et al., 2015; Donahue et al., 2016; Reveley et al., 2015; Thomas et al., 2014), and prior to systematic motion artifacts being demonstrated in diffusio…”
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“…componentbased approaches demonstrate the existence of robust, bilateral segregated networks for somatomotor, primary auditory, primary visual, and extrastriate visual cortex (Fransson et al., 2007; Gao et al., 2015a; Kiviniemi et al., 2000; Lin et al., 2008; Liu et al., 2008; Smyser et al., 2010).”
BackgroundInfluentialDecoupling of the brain's default mode network during deep sleep
Horovitz, S. G., Braun, A. R., Carr, W. S., Picchioni, D., Balkin, T. J., Fukunaga, M., & Duyn, J. H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901435106 · Cited by 685 · cited 2×
“…global functional network topology in conscious versus unconscious state in adults (Spoormaker et al., 2010), but key differences have been found in corticocortical (Heine et al., 2012; Horovitz et al., 2009; Spoormaker et al., 2010) and thalamocortical (Spoormaker et al., 2010) connectivity.”
BackgroundZuo, X., & Xing, X.-X. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.05.009 · Cited by 678 · cited 1×
“Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
BackgroundPatterning and plasticity of the cerebral cortex
Sur, M., & Rubenstein, J. L. R. (2005) · Science · doi:10.1126/science.1112070 · Cited by 677 · cited 2×
“These areal boundaries appear very early in development (Kostovic et al., 1995) and each area is thought to make a distinct contribution to information processing (Cohen et al., 2008; Felleman and Van Essen, 1991; Fuster, 2002; O'Leary and Nakagawa, 2002; Sur and Rubenstein, 2005).”
BackgroundDisentangling the heterogeneity of autism spectrum disorder through genetic findings
Jeste, S. S., & Geschwind, D. H. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.278 · Cited by 644 · cited 6×
“DSG was supported by an Autism Speaks Dennis Weatherstone Predoctoral Fellowship (#9591).”
BackgroundInfluentialMSM: a new flexible framework for Multimodal Surface Matching
Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., Smith, S. M., Van Essen, D. C., & Jenkinson, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.069 · Cited by 640 · cited 1×
“New multimodal approaches that also anchor surface-based registrations to other structural or functional characteristics of an individual are likely to improve subject to subject registrations, and hence reduce intersubject variability, even more (e.g. (Glasser et al., 2016b; Robinson et al., 2014).”
BackgroundThe optimal template effect in hippocampus studies of diseased populations
Avants, B. B., Yushkevich, P., Pluta, J., Minkoff, D., Korczykowski, M., Detre, J., & Gee, J. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.062 · Cited by 640 · cited 2×
“…age-specific and study-specific template brain images for image registration is a well-validated approach to help overcome some of these confounds (Avants et al., 2010; Fonov et al., 2011), and is increasingly adopted in both structural and functional studies of (especially early) development…”
BackgroundCorrelated gene expression supports synchronous activity in brain networks
Richiardi, J., Altmann, A., Milazzo, A.-C., Chang, C., Chakravarty, M. M., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., et al. (2015) · Science · doi:10.1126/science.1255905 · Cited by 625
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · cited 2×
“, 2009) and are associated with task-relevant behavioral performance (Cole et al., 2012; Lewis et al., 2009).”
BackgroundGao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., & Lin, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811221106 · Cited by 601 · cited 2×
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
BackgroundBrain Anatomical Network and Intelligence
Li, Y., Liu, Y., Li, J., Qin, W., Li, K., Yu, C., & Jiang, T. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000395 · Cited by 597 · cited 2×
“Greater global efficiency in structural and functional networks has been linked to higher IQ, attentional capacity, and working memory in healthy young adults (Cohen and D'Esposito, 2016; Kitzbichler et al., 2011; Li et al., 2009; Stanley et al., 2015; van den Heuvel et al., 2009), supporting the notion that it confer…”
BackgroundZhang, Z., Liao, W., Chen, H., Mantini, D., Ding, J.-R., Xu, Q., Wang, Z., Yuan, C., Chen, G., Jiao, Q., et al. (2011) · Brain · doi:10.1093/brain/awr223 · Cited by 587
Defining functional areas in individual human brains using resting functional connectivity MRI
Cohen, A. L., Fair, D. A., Dosenbach, N. U. F., Miezin, F. M., Dierker, D., Van Essen, D. C., Schlaggar, B. L., & Petersen, S. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.066 · Cited by 582 · cited 2×
“These areal boundaries appear very early in development (Kostovic et al., 1995) and each area is thought to make a distinct contribution to information processing (Cohen et al., 2008; Felleman and Van Essen, 1991; Fuster, 2002; O'Leary and Nakagawa, 2002; Sur and Rubenstein, 2005).”
BackgroundSelf-citationDevelopment of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572 · cited 2×
“…had found that functional connectivity between anatomically proximate ROIs gradually decreased, whereas long-range functional connections, especially anterior-posterior links, gradually increased until adulthood (Dosenbach et al., 2010; Fair et al., 2009; Kelly et al., 2009; Supekar et al., 2009).”
BackgroundResting-brain functional connectivity predicted by analytic measures of network communication
Goñi, J., van den Heuvel, M. P., Avena‐Koenigsberger, A., de Mendizábal, N. V., Betzel, R. F., Griffa, A., Hagmann, P., Corominas‐Murtra, B., Thiran, J., & Sporns, O. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315529111 · Cited by 570 · cited 2×
“, 2015), or sparser analytic predictions of FC using graph metrics of mutual communication (Goni et al., 2014; Grayson et al., 2016) (although, both approaches appear to be comparably effective; see Fig.”
BackgroundModeling the impact of lesions in the human brain
Alstott, J., Breakspear, M., Hagmann, P., Cammoun, L., & Sporns, O. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000408 · Cited by 561 · cited 1×
“As an example, simulation experiments using structure-function models have predicted that even purely focal and transient perturbations in activity should result in diffuse network reorganization that affects distant brain systems (Alstott et al., 2009; Honey and Sporns, 2008; Misic et al., 2015).”
MethodBrain networks and cognitive architectures
Petersen, S. E., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.027 · Cited by 553
Supekar, K., Uddin, L. Q., Prater, K. E., Amin, H., Greicius, M. D., & Menon, V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.009 · Cited by 547 · cited 2×
“…areas (and indeed, connectivity within other cognitive RSNs) continues to strengthen from early childhood throughout development, especially with respect to long-range anterior-posterior links (de Bie et al., 2012; Fair et al., 2008; Sato et al., 2014; Sherman et al., 2014; Supekar et al., 2010).”
BackgroundThe functional architecture of the infant brain as revealed by resting-state fMRI
Fransson, P., Åden, U., Blennow, M., & Lagercrantz, H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq071 · Cited by 542 · cited 6×
“…and betweenness hubs in adulthood are largely located within the default mode, attentional, sensorimotor, and visual areas (Cao et al., 2014; Fransson et al., 2011; Grayson et al., 2014; Hwang et al., 2013), whereas neonatal hubs primarily involve early sensorimotor, visual, and limbic…”
BackgroundInfluentialBrain hyperconnectivity in children with autism and its links to social deficits
Supekar, K., Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., & Menon, V. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.001 · Cited by 538 · cited 6×
“DSG was supported by an Autism Speaks Dennis Weatherstone Predoctoral Fellowship (#9591).”
BackgroundInfluentialFunctional connectivity dynamics: modeling the switching behavior of the resting state
Hansen, E. C. A., Battaglia, D., Spiegler, A., Deco, G., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.001 · Cited by 528 · cited 2×
“Models can involve highly parameterized simulations of regional activity (Hansen et al., 2015; Messe et al., 2014; Sanz-Leon et al., 2015), or sparser analytic predictions of FC using graph metrics of mutual communication (Goni et al., 2014; Grayson et al., 2016) (although, both approaches appear…”
BackgroundUddin, L. Q., Supekar, K. S., Ryali, S., & Menon, V. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4465-11.2011 · Cited by 520 · cited 2×
“These trends pointed to coherent changes that involved a dampening of non-specific local spread of activity and strengthening of long-range links, thereby facilitating cognitive development (Bunge and Wright, 2007; Fair et al., 2009; Uddin, 2011; Uddin et al., 2011).”
BackgroundExuberance in the development of cortical networks
Innocenti, G. M., & Price, D. J. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1790 · Cited by 512 · cited 3×
“This same time period is marked by rapid and widespread cortical synaptogenesis, followed by a protracted period of synapse elimination and cell loss which carries into adulthood (Huttenlocher, 2002; Innocenti and Price, 2005).”
BackgroundMapping sources of correlation in resting state FMRI, with artifact detection and removal
Jo, H. J., Saad, Z. S., Simmons, W. K., Milbury, L. A., & Cox, R. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.246 · Cited by 509 · cited 2×
“There is ongoing debate regarding the adequacy of these techniques (Jo et al., 2010; Power et al., 2016), and more work may be warranted to determine optimal ways to account for age-related physiological confounds.”
BackgroundSpurious group differences due to head motion in a diffusion MRI study
Yendiki, A., Koldewyn, K., Kakunoori, S., Kanwisher, N., & Fischl, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.027 · Cited by 508 · cited 4×
“Strong artifacts due to motion, in addition to their relevance for fMRI, have been noted in diffusion weighted imaging (Roalf et al., 2016; Yendiki et al., 2014) and cortical thickness measurements (Reuter et al.”
BackgroundInfluentialEigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., Schloegl, H., Stümvoll, M., Villringer, A., & Turner, R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010232 · Cited by 507 · cited 2×
“By far, strength and betweenness have been the most popular hub metrics within neuroimaging, although others such as eigenvector centrality (Lohmann et al., 2010; Zuo et al., 2012) and node communicability (de Reus and van den Heuvel, 2014; Mantzaris et al., 2013) have seen useful application as…”
BackgroundDistinct Global Brain Dynamics and Spatiotemporal Organization of the Salience Network
Chen, T., Cai, W., Ryali, S., Supekar, K., & Menon, V. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002469 · Cited by 480
Fair, D. A., Bathula, D., Nikolas, M. A., & Nigg, J. T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1115365109 · Cited by 464 · cited 8×
“…consistently implicated in Schizophrenia (Baker et al., 2014; Khadka et al., 2013; Satterthwaite et al., 2015), ADHD (Castellanos and Aoki, 2016; Fair et al., 2012b), and Autism (Kessler et al., 2016; Moseley et al., 2015; Supekar et al., 2013) – though a thorough examination of this literature…”
BackgroundResultInfluentialSelf-citationUnderstanding brain networks and brain organization
Pessoa, L. (2014) · Physics of Life Reviews · doi:10.1016/j.plrev.2014.03.005 · Cited by 464 · cited 1×
“The network's behavior can thus be modeled as a set of properties that emerge from the network's unique global structure and local features (Sporns, 2014).”
BackgroundFair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463 · cited 8×
“…consistently implicated in Schizophrenia (Baker et al., 2014; Khadka et al., 2013; Satterthwaite et al., 2015), ADHD (Castellanos and Aoki, 2016; Fair et al., 2012b), and Autism (Kessler et al., 2016; Moseley et al., 2015; Supekar et al., 2013) – though a thorough examination of this literature…”
BackgroundResultInfluentialSelf-citationHead motion during MRI acquisition reduces gray matter volume and thickness estimates
Reuter, M., Tisdall, M. D., Qureshi, A., Buckner, R. L., van der Kouwe, A. J. W., & Fischl, B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.006 · Cited by 457 · cited 2×
“, 2014) and cortical thickness measurements (Reuter et al., 2015; Savalia et al., 2017).”
BackgroundLongitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years
Gilmore, J. H., Shi, F., Woolson, S. L., Knickmeyer, R. C., Short, S. J., Lin, W., Zhu, H., Hamer, R. M., Styner, M., & Shen, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr327 · Cited by 456
A Combined MRI and Histology Atlas of the Rhesus Monkey Brain: In Stereotaxic Coordinates
Saleem, K. S., & Logothetis, N. K. (2012) · Max Planck Digital Library · Cited by 446
Topological organization of the human brain functional connectome across the lifespan
Cao, M., Wang, J.-H., Dai, Z.-J., Cao, X.-Y., Jiang, L.-L., Fan, F.-M., Song, X.-W., Xia, M.-R., Shu, N., Dong, Q., et al. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.11.004 · Cited by 440
Network scaling effects in graph analytic studies of human resting-state fMRI data
Fornito, A. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00022 · Cited by 439
Experience-driven brain plasticity: Beyond the synapse
MARKHAM, J. A., & GREENOUGH, W. T. (2004) · Neuron Glia Biology · doi:10.1017/s1740925x05000219 · Cited by 437 · cited 2×
“…expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b) – properties that, in turn, undergo experience-dependent and activity-dependent modulation over the lifespan (Huttenlocher, 2002; Markham and Greenough, 2004; Scholz et al., 2009).”
BackgroundIncreased Brain Signal Variability Accompanies Lower Behavioral Variability in Development
McIntosh, A. R., Kovacevic, N., & Itier, R. J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000106 · Cited by 431 · cited 2×
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
BackgroundCognitive effort drives workspace configuration of human brain functional networks
Kitzbichler, M. G., Henson, R. N. A., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0440-11.2011 · Cited by 427 · cited 1×
“…and functional networks has been linked to higher IQ, attentional capacity, and working memory in healthy young adults (Cohen and D'Esposito, 2016; Kitzbichler et al., 2011; Li et al., 2009; Stanley et al., 2015; van den Heuvel et al., 2009), supporting the notion that it confers advantages for…”
BackgroundBraun, U., Plichta, M. M., Esslinger, C., Sauer, C., Haddad, L., Grimm, O., Mier, D., Mohnke, S., Heinz, A., Erk, S., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.044 · Cited by 424 · cited 1×
“Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
BackgroundNeural Plasticity: The Effects of Environment on the Development of the Cerebral Cortex
Huttenlocher, P. R. (2002) · doi:10.4159/9780674038936 · Cited by 421
Imaging human connectomes at the macroscale
Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods · doi:10.1038/nmeth.2482 · Cited by 419 · cited 1×
“There is currently no consensus regarding an optimal set of criteria for defining an areal parcellation (Craddock et al., 2013; Glasser et al., 2016a; Gordon et al., 2016), and even less known about the stability of these parcellations at younger ages.”
BackgroundReveley, C., Seth, A. K., Pierpaoli, C., Silva, A. C., Yu, D., Saunders, R. C., Leopold, D. A., & Ye, F. Q. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418198112 · Cited by 417 · cited 2×
“For example, structure-function modeling using MRI data suffers from a number of inherent limitations in DWI-tractography that have not been overcome by state-of-the-art acquisition and processing approaches (Calabrese et al., 2015; Donahue et al., 2016; Reveley et al., 2015; Thomas et al., 2014).”
BackgroundThe idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder
Hahamy, A., Behrmann, M., & Malach, R. (2015) · Nature Neuroscience · doi:10.1038/nn.3919 · Cited by 416 · cited 1×
“Indeed, recent work suggests that Autism Spectrum Disorder is characterized by increased subject-to-subject variability relative to the general population (Hahamy et al., 2015).”
BackgroundWang, J.-H., Zuo, X.-N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021976 · Cited by 416 · cited 1×
“Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
BackgroundAn anatomical substrate for integration among functional networks in human cortex
van den Heuvel, M. P., & Sporns, O. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2128-13.2013 · Cited by 404 · cited 1×
“Rich-club nodes tend to span multiple RSNs, thereby facilitating integration between them (Sporns, 2013; van den Heuvel and Sporns, 2013).”
BackgroundBrain maturation in adolescence: concurrent changes in neuroanatomy and neurophysiology
Whitford, T. J., Rennie, C. J., Grieve, S. M., Clark, C. R., Gordon, E., & Williams, L. M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20273 · Cited by 391 · cited 8×
“There is also a progressive shift in peak amplitude towards higher frequency activity (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
BackgroundInfluentialThe Neonatal Connectome During Preterm Brain Development
van den Heuvel, M. P., Kersbergen, K. J., de Reus, M. A., Keunen, K., Kahn, R. S., Groenendaal, F., de Vries, L. S., & Benders, M. J. N. L. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu095 · Cited by 386 · cited 5×
“In neonates, two independent rs-fcMRI studies found evidence for modules comprised largely of anatomically proximate areas (De Asis-Cruz et al., 2015; van den Heuvel et al., 2015b).”
BackgroundResultInfluentialNeurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381 · cited 2×
“These trends pointed to coherent changes that involved a dampening of non-specific local spread of activity and strengthening of long-range links, thereby facilitating cognitive development (Bunge and Wright, 2007; Fair et al., 2009; Uddin, 2011; Uddin et al., 2011).”
BackgroundGao, W., Alcauter, S., Elton, A., Hernandez-Castillo, C. R., Smith, J. K., Ramirez, J., & Lin, W. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu088 · Cited by 380 · cited 6×
“…componentbased approaches demonstrate the existence of robust, bilateral segregated networks for somatomotor, primary auditory, primary visual, and extrastriate visual cortex (Fransson et al., 2007; Gao et al., 2015a; Kiviniemi et al., 2000; Lin et al., 2008; Liu et al., 2008; Smyser et al., 2010).”
BackgroundInfluentialDynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood
Lyall, A. E., Shi, F., Geng, X., Woolson, S., Li, G., Wang, L., Hamer, R. M., Shen, D., & Gilmore, J. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu027 · Cited by 376 · cited 2×
“These trends are consistent with the presence of basic somatosensory and visual functions at birth, and help contextualize findings that primary sensory regions are generally the first cortical areas to reach plateaus or peaks in growth (Geng et al., 2016; Gilmore et al., 2012; Lyall et al., 2015; Scott et al., 2015).”
BackgroundRich-club organization of the newborn human brain
Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E. C., Ogundipe, E., Rueckert, D., Edwards, A. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1324118111 · Cited by 360 · cited 3×
“These findings suggest that the development of a small-world architecture, as well as the capacity for globally efficient communication and integration, largely occurs during the first year of life and prenatally, a finding that is supported by multimodal structural and functional network analysis in preterm infants (…”
BackgroundResultMathematical framework for large-scale brain network modeling in The Virtual Brain
Sanz-Leon, P., Knock, S. A., Spiegler, A., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.002 · Cited by 356 · cited 3×
“Given that macroscale FC is modulated by both interregional connectivity strength as well as local population dynamics (Sanz-Leon et al., 2015), alterations in SC-FC coupling could potentially point to important shifts in the underlying drivers of various network phenomena.”
BackgroundDevelopment of human brain cortical network architecture during infancy
Gao, W., Alcauter, S., Smith, J. K., Gilmore, J. H., & Lin, W. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0710-3 · Cited by 356 · cited 6×
“…componentbased approaches demonstrate the existence of robust, bilateral segregated networks for somatomotor, primary auditory, primary visual, and extrastriate visual cortex (Fransson et al., 2007; Gao et al., 2015a; Kiviniemi et al., 2000; Lin et al., 2008; Liu et al., 2008; Smyser et al., 2010).”
BackgroundInfluentialEEG correlates of time-varying BOLD functional connectivity
Chang, C., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.049 · Cited by 355 · cited 2×
“These data agree with notions that temporal variability in very low frequency correlations is an emergent, hidden property of higher frequency power spectra (Chang et al., 2013; Tagliazucchi et al., 2012), which is known to change continuously throughout development (Miskovic et al.”
BackgroundDynamical consequences of lesions in cortical networks
Honey, C. J., & Sporns, O. (2008) · Human Brain Mapping · doi:10.1002/hbm.20579 · Cited by 353 · cited 1×
“As an example, simulation experiments using structure-function models have predicted that even purely focal and transient perturbations in activity should result in diffuse network reorganization that affects distant brain systems (Alstott et al., 2009; Honey and Sporns, 2008; Misic et al., 2015).”
MethodNoninvasive Functional and Structural Connectivity Mapping of the Human Thalamocortical System
Zhang, D., Snyder, A. Z., Shimony, J. S., Fox, M., & Raichle, M. E. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp182 · Cited by 351 · cited 1×
“Several groups, however, are finding ways to utilize today's non-invasive imaging tools to bring us closer to realizing these goals (Behrens et al., 2003; Glasser et al., 2016a; Gordon et al., 2016; Wig et al., 2014a, 2014b; Zhang et al., 2010).”
BackgroundSherman, L. E., Rudie, J. D., Pfeifer, J. H., Masten, C. L., McNealy, K., & Dapretto, M. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.08.002 · Cited by 349
Cooperative and competitive spreading dynamics on the human connectome
Mišić, B., Betzel, R. F., Nematzadeh, A., Goñi, J., Griffa, A., Hagmann, P., Flammini, A., Ahn, Y.-Y., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.035 · Cited by 342 · cited 6×
“Even the best-performing SC-FC models generally account for less than 50% of the variance in FC across the brain in both humans and non-human primates (Grayson et al., 2016; Messe et al., 2014; Misic et al., 2015).”
BackgroundMethodInfluentialEmergence of system roles in normative neurodevelopment
Gu, S., Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., & Bassett, D. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502829112 · Cited by 338 · cited 5×
“Despite this “adult like” level of organization, refinements within and between systems do appear to occur over time, although details to this end are still being worked out (Fair et al., 2012b; Gu et al., 2015b; Marek et al., 2015).”
BackgroundInfluentialThe contribution of network organization and integration to the development of cognitive control
Marek, S., Hwang, K., Foran, W., Hallquist, M. N., & Luna, B. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002328 · Cited by 337
Brain activity at rest: a multiscale hierarchical functional organization
Doucet, G., Naveau, M., Petit, L., Delcroix, N., Zago, L., Crivello, F., Jobard, G., Tzourio-Mazoyer, N., Mazoyer, B., Mellet, E., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00895.2010 · Cited by 319 · cited 4×
“At finer resolutions, several other modules can be identified (Doucet et al., 2011; Gordon et al., 2016; Power et al., 2011; Yeo et al., 2011), including hierarchical visual subdivisions, topographical somatomotor subdivisions, an auditory module, a limbic module, a ventral attention module, and other smaller subdivis…”
BackgroundInfluentialDynamic BOLD functional connectivity in humans and its electrophysiological correlates
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., & Laufs, H. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00339 · Cited by 300 · cited 2×
“These data agree with notions that temporal variability in very low frequency correlations is an emergent, hidden property of higher frequency power spectra (Chang et al., 2013; Tagliazucchi et al., 2012), which is known to change continuously throughout development (Miskovic et al.”
BackgroundThe parcellation-based connectome: limitations and extensions
de Reus, M. A., & van den Heuvel, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.053 · Cited by 282
O’Leary, D. D. M., & Nakagawa, Y. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00285-4 · Cited by 277 · cited 2×
“These areal boundaries appear very early in development (Kostovic et al., 1995) and each area is thought to make a distinct contribution to information processing (Cohen et al., 2008; Felleman and Van Essen, 1991; Fuster, 2002; O'Leary and Nakagawa, 2002; Sur and Rubenstein, 2005).”
BackgroundDevelopment of a large-scale functional brain network during human non-rapid eye movement sleep
Spoormaker, V. I., Schröter, M. S., Gleiser, P. M., Andrade, K. C., Dresler, M., Wehrle, R., Sämann, P. G., & Czisch, M. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2015-10.2010 · Cited by 273 · cited 6×
“, 2010) and thalamocortical (Spoormaker et al., 2010) connectivity.”
BackgroundInfluentialEEG sleep slow-wave activity as a mirror of cortical maturation
Buchmann, A., Ringli, M., Kurth, S., Schaerer, M., Geiger, A., Jenni, O. G., & Huber, R. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq129 · Cited by 273 · cited 4×
“These coincident trajectories have provided key support for the hypothesis that developmental changes in baseline electrophysiological signatures may primarily be subserved by reduction of neuropil and progressive synapse elimination (Buchmann et al., 2011; Smit et al., 2012; Whitford et al., 2007).”
BackgroundInfluentialTemporal and spatial evolution of brain network topology during the first two years of life
Gao, W., Gilmore, J. H., Giovanello, K. S., Smith, J. K., Shen, D., Zhu, H., & Lin, W. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025278 · Cited by 272 · cited 7×
“The first two years of life reflect a gradual decrease in the hubness of sensorimotor areas and increased involvement of various association cortical areas, especially the medial frontal and parietal portions of the default mode (Gao et al., 2011).”
BackgroundInfluentialResting State Networks and Consciousness
Heine, L., Soddu, A., Gómez, F., Vanhaudenhuyse, A., Tshibanda, L., Thonnard, M., Charland-Verville, V., Kirsch, M., Laureys, S., & Demertzi, A. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00295 · Cited by 272 · cited 2×
“…global functional network topology in conscious versus unconscious state in adults (Spoormaker et al., 2010), but key differences have been found in corticocortical (Heine et al., 2012; Horovitz et al., 2009; Spoormaker et al., 2010) and thalamocortical (Spoormaker et al., 2010) connectivity.”
BackgroundNeural Plasticity: The Effects of Environment on the Development of the Cerebral Cortex
Huttenlocher, P. R. (2002) · Cited by 269
The effects of SIFT on the reproducibility and biological accuracy of the structural connectome
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.004 · Cited by 266 · cited 1×
“Future work could probably improve these relationships substantially by imposing rigorous anatomical constraints in the tractography process (Smith et al., 2015), but such efforts have not seen extensive validation yet.”
BackgroundMeda, S. A., Ruaño, G., Windemuth, A., O’Neil, K., Berwise, C., Dunn, S. M., Boccaccio, L. E., Narayanan, B., Kocherla, M., Sprooten, E., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313093111 · Cited by 242 · cited 4×
“The first challenge is the ever-expanding evidence that Schizophrenia (Meda et al., 2014; Satterthwaite and Baker, 2015), ADHD (Costa Dias et al., 2015; Fair et al., 2012a; Gates et al., 2014; Karalunas et al., 2014), Autism (Jeste and Geschwind, 2014; Rudie et al., 2012), and potentially other DSM…”
BackgroundInfluentialNetwork analysis of resting state EEG in the developing young brain: structure comes with maturation
Boersma, M., Smit, D. J. A., de Bie, H. M. A., Van Baal, G. C. M., Boomsma, D. I., de Geus, E. J. C., Delemarre‐van de Waal, H. A., & Stam, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21030 · Cited by 235 · cited 5×
“Somewhat unexpectedly, two reports found path length to also increase with age (Boersma et al., 2011; Smit et al., 2012), although more recent work demonstrates age-related reductions (Miskovic et al.”
BackgroundResultInfluentialLarge-scale topology and the default mode network in the mouse connectome
Stafford, J. M., Jarrett, B. R., Miranda-Dominguez, O., Mills, B. D., Cain, N., Mihalas, S., Lahvis, G. P., Lattal, K. M., Mitchell, S. H., David, S. V., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404346111 · Cited by 229 · cited 2×
“5) are attainable across species (Grayson et al., 2016; Miranda-Dominguez et al., 2014b; Stafford et al., 2014; Hutchison et al., 2015; Hutchison and Everling, 2012; Margulies et al., 2009).”
BackgroundSelf-citationKhadka, S., Meda, S. A., Stevens, M. C. G., Glahn, D. C., Calhoun, V. D., Sweeney, J. A., Tamminga, C. A., Keshavan, M. S., O'Neil, K. M., Schretlen, D. J., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.024 · Cited by 229 · cited 4×
“Complex, distributed disruptions in resting-state networks are consistently implicated in Schizophrenia (Baker et al., 2014; Khadka et al., 2013; Satterthwaite et al., 2015), ADHD (Castellanos and Aoki, 2016; Fair et al., 2012b), and Autism (Kessler et al., 2016; Moseley et al., 2015; Supekar et al., 2013) – though a…”
BackgroundInfluentialCross-hemispheric functional connectivity in the human fetal brain
Thomason, M. E., Dassanayake, M. T., Shen, S., Katkuri, Y., Alexis, M., Anderson, A. L., Yeo, L., Mody, S., Hernandez-Andrade, E., Hassan, S. S., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3004978 · Cited by 225 · cited 1×
“RSNs are already present during infancy, and potentially to some extent in utero (Thomason et al., 2013).”
BackgroundTracking the Brain's Functional Coupling Dynamics over Development
Hutchison, R. M., & Morton, J. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4638-14.2015 · Cited by 222 · cited 2×
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
BackgroundFunctional connectivity MR imaging reveals cortical functional connectivity in the developing brain
Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1256 · Cited by 222 · cited 3×
“These sensory networks undergo subtle refinements and strengthening over the first two years of life, and by age two bear substantial resemblance to their adult counterparts (Gao et al., 2015a; Lin et al., 2008).”
BackgroundMessé, A., Rudrauf, D., Benali, H., & Marrelec, G. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003530 · Cited by 215 · cited 6×
“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b) – properties that, in turn, undergo experience-dependent and…”
BackgroundInfluentialReineberg, A. E., Andrews-Hanna, J. R., Depue, B. E., Friedman, N. P., & Banich, M. T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.045 · Cited by 206 · cited 2×
“, 2014) and executive functioning (Reineberg et al., 2015), and are differentially associated with performance on simple motor tasks versus complex working memory tasks (Cohen and D'Esposito, 2016).”
BackgroundDevelopment of global cortical networks in early infancy
Homae, F., Watanabe, H., Otobe, T., Nakano, T., Go, T., Konishi, Y., & Taga, G. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5618-09.2010 · Cited by 206 · cited 2×
“These latter modules also exhibit substantial growth of distributed synchronization and homotopic coupling from birth through the first two years of life (Gao et al., 2015b; Homae et al., 2010), concomitant with decreasing between-module connectivity (i.e. greater functional specialization).”
BackgroundCanetta, S., Bolkan, S., Padilla-Coreano, N., Song, L. J., Sahn, R., Harrison, N. L., Gordon, J. A., Brown, A., & Kellendonk, C. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.222 · Cited by 201
Cortical parcellations of the macaque monkey analyzed on surface-based atlases.
van Essen, D., Glasser, M., Dierker, D. L., & Harwell, J. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr290 · Cited by 198 · cited 8×
“Surface based registrations that take into account the sulcal and gyral anatomy also help mitigate these confounds, and may be the future direction of the field (Fischl, 2012; Van Essen, 2012).”
MethodInfluentialConnectotyping: Model Based Fingerprinting of the Functional Connectome
Miranda-Dominguez, O., Mills, B. D., Carpenter, S. D., Grant, K. A., Kroenke, C. D., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111048 · Cited by 197 · cited 5×
“Cutting-edge work in resting-state fMRI acquisition and network analysis suggests that individual brains, even among typical subjects, are distinguishable via their functional connectomes (Finn et al., 2015; Laumann et al., 2015; Miranda-Dominguez et al., 2014b).”
BackgroundInfluentialSelf-citationVértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197 · cited 3×
“Past reviews have already written eloquently about the rationales for applying this approach to study development (Power et al., 2010; Vertes and Bullmore, 2015), which we will only briefly summarize and expand upon here.”
BackgroundAn approach for parcellating human cortical areas using resting-state correlations
Wig, G. S., Laumann, T. O., & Petersen, S. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.035 · Cited by 188 · cited 1×
“Several groups, however, are finding ways to utilize today's non-invasive imaging tools to bring us closer to realizing these goals (Behrens et al., 2003; Glasser et al., 2016a; Gordon et al., 2016; Wig et al., 2014a, 2014b; Zhang et al., 2010).”
BackgroundStructural and functional rich club organization of the brain in children and adults
Grayson, D. S., Ray, S., Carpenter, S., Iyer, S., Dias, T. G. C., Stevens, C., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088297 · Cited by 187 · cited 11×
“Returning to the MRI literature, there is convergent evidence that the locations of high-strength and high-betweenness hub regions appear to be stable after 5 years of age (Cao et al., 2014; Grayson et al., 2014; Hwang et al., 2013; Wang et al., 2012; Wu et al., 2013; Zuo et al., 2012).”
BackgroundInfluentialSelf-citationWu, K., Taki, Y., Sato, K., Hashizume, H., Sassa, Y., Takeuchi, H., Thyreau, B., Yong He, A., Evans, A. C., Li, X., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055347 · Cited by 185 · cited 5×
“Returning to the MRI literature, there is convergent evidence that the locations of high-strength and high-betweenness hub regions appear to be stable after 5 years of age (Cao et al., 2014; Grayson et al., 2014; Hwang et al., 2013; Wang et al., 2012; Wu et al., 2013; Zuo et al., 2012).”
BackgroundInfluentialVakorin, V. A., Lippé, S., & McIntosh, A. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3153-10.2011 · Cited by 184 · cited 2×
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
BackgroundMiskovic, V., Ma, X., Chou, C.-A., Fan, M., Owens, M., Sayama, H., & Gibb, B. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.013 · Cited by 175 · cited 10×
“There is also a progressive shift in peak amplitude towards higher frequency activity (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
BackgroundResultInfluentialStructural and Maturational Covariance in Early Childhood Brain Development
Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H., & Gilmore, J. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw022 · Cited by 175
Grayson, D. S., Bliss-Moreau, E., Machado, C. J., Bennett, J., Shen, K., Grant, K. A., Fair, D. A., & Amaral, D. G. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.005 · Cited by 172
Self-citationNetwork structure shapes spontaneous functional connectivity dynamics
Shen, K., Hutchison, R. M., Bezgin, G., Everling, S., & McIntosh, A. R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4903-14.2015 · Cited by 171 · cited 1×
“Mounting evidence suggests that the functional connectome exhibits temporal instability that allows it to flexibly switch between multiple different configurations within a scanning session (Allen et al., 2014; Chang and Glover, 2010; Kang et al., 2011; Shen et al., 2015).”
BackgroundLi, G., Lin, W., Gilmore, J. H., & Shen, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4107-14.2015 · Cited by 164
Identification of optimal structural connectivity using functional connectivity and neural modeling
Deco, G., McIntosh, A. R., Shen, K., Hutchison, R. M., Menon, R. S., Everling, S., Hagmann, P., & Jirsa, V. K. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4423-13.2014 · Cited by 162 · cited 1×
“In the meantime, animal models are proving to be an important and necessary “bridge” for identifying ground-truth structure-to-function principles (Deco et al., 2014; Grayson et al., 2016; Miranda-Dominguez et al., 2014b; Stafford et al., 2014).”
BackgroundScholtens, L. H., Schmidt, R., de Reus, M. A., & van den Heuvel, M. P. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0752-14.2014 · Cited by 160 · cited 2×
“More to the point, macroscale FC is known to be modulated by interareal correlated gene expression, areal densities of excitatory and inhibitory receptors, and other features of microscale architecture that vary across brain structures (Richiardi et al., 2015; Scholtens et al., 2014; Turk et al., 2016; van den Heuvel…”
BackgroundHutchison, R. M., & Everling, S. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00029 · Cited by 143 · cited 1×
“5) are attainable across species (Grayson et al., 2016; Miranda-Dominguez et al., 2014b; Stafford et al., 2014; Hutchison et al., 2015; Hutchison and Everling, 2012; Margulies et al., 2009).”
Resting-state networks in awake five- to eight-year old children
de Bie, H. M. A., Boersma, M., Adriaanse, S., Veltman, D. J., Wink, A. M., Roosendaal, S. D., Barkhof, F., Stam, C. J., Oostrom, K. J., Delemarre‐van de Waal, H. A., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.21280 · Cited by 143 · cited 1×
“…areas (and indeed, connectivity within other cognitive RSNs) continues to strengthen from early childhood throughout development, especially with respect to long-range anterior-posterior links (de Bie et al., 2012; Fair et al., 2008; Sato et al., 2014; Sherman et al., 2014; Supekar et al., 2010).”
BackgroundThe brain matures with stronger functional connectivity and decreased randomness of its network
Smit, D. J. A., Boersma, M., Schnack, H. G., Micheloyannis, S., Boomsma, D. I., Hulshoff Pol, H. E., Stam, C. J., & de Geus, E. J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036896 · Cited by 143 · cited 15×
“There is also a progressive shift in peak amplitude towards higher frequency activity (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
BackgroundResultInfluentialLarge-scale brain network dynamics supporting adolescent cognitive control
Dwyer, D. B., Harrison, B. J., Yücel, M., Whittle, S., Zalesky, A., Pantelis, C., Allen, N. B., & Fornito, A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1634-14.2014 · Cited by 143 · cited 4×
“Both effects in tandem are crucially involved in cognitive control (Dwyer et al., 2014) and executive functioning (Reineberg et al.”
BackgroundInfluentialAutism-Associated Promoter Variant in MET Impacts Functional and Structural Brain Networks
Rudie, J. D., Hernandez, L. M., Brown, J. A., Beck-Pancer, D., Colich, N. L., Gorrindo, P., Thompson, P. M., Geschwind, D. H., Bookheimer, S. Y., Levitt, P., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.010 · Cited by 142 · cited 1×
“…studies (rodents and non-human primates), this is feasible through the use of comprehensive, histologically and functionally defined whole-brain areal parcellations (Bezgin et al., 2012; Lein et al., 2007; Paxinos et al., 2000; Saleem and Logothetis, 2007; Swanson, 2015; Van Essen et al., 2012).”
MethodNeural correlates of expected risks and returns in risky choice across development
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M. R., Powers, A., Weeda, W. D., Casey, B. J., Weber, E. U., & Figner, B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1924-14.2015 · Cited by 141
Ontogenesis of goal-directed behavior: anatomo-functional considerations
Kostović, I., Judaš, M., Petanjek, Z., & Šimić, G. (1995) · International Journal of Psychophysiology · doi:10.1016/0167-8760(94)00081-o · Cited by 139 · cited 2×
“These areal boundaries appear very early in development (Kostovic et al., 1995) and each area is thought to make a distinct contribution to information processing (Cohen et al.”
BackgroundChanges in Brain Network Efficiency and Working Memory Performance in Aging
Stanley, M. L., Simpson, S. L., Dagenbach, D., Lyday, R. G., Burdette, J. H., & Laurienti, P. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123950 · Cited by 137 · cited 2×
“Greater global efficiency in structural and functional networks has been linked to higher IQ, attentional capacity, and working memory in healthy young adults (Cohen and D'Esposito, 2016; Kitzbichler et al., 2011; Li et al., 2009; Stanley et al., 2015; van den Heuvel et al., 2009), supporting the notion that it confer…”
BackgroundEEG functional connectivity is partially predicted by underlying white matter connectivity
Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.033 · Cited by 135 · cited 1×
“Predictive models have been extensively validated on both rsfcMRI and EEG data (Chu et al., 2015), suggesting that SC strongly shapes and constrains activity across temporal scales.”
Backgroundvan den Heuvel, M. P., de Reus, M. A., Feldman Barrett, L., Scholtens, L. H., Coopmans, F. M. T., Schmidt, R., Preuss, T. M., Rilling, J. K., & Li, L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22828 · Cited by 131 · cited 5×
“In neonates, two independent rs-fcMRI studies found evidence for modules comprised largely of anatomically proximate areas (De Asis-Cruz et al., 2015; van den Heuvel et al., 2015b).”
BackgroundResultInfluentialCharacterizing heterogeneity in children with and without ADHD based on reward system connectivity
Costa Dias, T. G., Iyer, S. P., Carpenter, S. D., Cary, R. P., Wilson, V. B., Mitchell, S. H., Nigg, J. T., & Fair, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.12.005 · Cited by 130 · cited 1×
“The first challenge is the ever-expanding evidence that Schizophrenia (Meda et al., 2014; Satterthwaite and Baker, 2015), ADHD (Costa Dias et al., 2015; Fair et al., 2012a; Gates et al., 2014; Karalunas et al., 2014), Autism (Jeste and Geschwind, 2014; Rudie et al., 2012), and potentially other DSM…”
BackgroundSelf-citationMiranda-Dominguez, O., Mills, B. D., Grayson, D., Woodall, A., Grant, K. A., Kroenke, C. D., & Fair, D. A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4229-13.2014 · Cited by 130 · cited 5×
“Cutting-edge work in resting-state fMRI acquisition and network analysis suggests that individual brains, even among typical subjects, are distinguishable via their functional connectomes (Finn et al., 2015; Laumann et al., 2015; Miranda-Dominguez et al., 2014b).”
BackgroundInfluentialSelf-citationWig, G. S., Laumann, T. O., Cohen, A. L., Power, J. D., Nelson, S. M., Glasser, M. F., Miezin, F. M., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht056 · Cited by 126 · cited 1×
“Several groups, however, are finding ways to utilize today's non-invasive imaging tools to bring us closer to realizing these goals (Behrens et al., 2003; Glasser et al., 2016a; Gordon et al., 2016; Wig et al., 2014a, 2014b; Zhang et al., 2010).”
BackgroundInformation processing architecture of functionally defined clusters in the macaque cortex
Shen, K., Bezgin, G., Hutchison, R. M., Gati, J. S., Menon, R. S., Everling, S., & McIntosh, A. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2709-12.2012 · Cited by 123 · cited 2×
“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b) – properties that, in turn, undergo experience-dependent and…”
BackgroundCortical cartography and Caret software
Essen, D. C. V. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.077 · Cited by 121 · cited 7×
“Surface based registrations that take into account the sulcal and gyral anatomy also help mitigate these confounds, and may be the future direction of the field (Fischl, 2012; Van Essen, 2012).”
BackgroundInfluentialPredicting individual brain maturity using dynamic functional connectivity
Qin, J., Chen, S.-G., Hu, D., Zeng, L.-L., Fan, Y.-M., Chen, X.-P., & Shen, H. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00418 · Cited by 117 · cited 2×
“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
BackgroundDecoding lifespan changes of the human brain using resting-state functional connectivity MRI
Wang, L., Su, L., Shen, H., & Hu, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044530 · Cited by 115 · cited 2×
“Returning to the MRI literature, there is convergent evidence that the locations of high-strength and high-betweenness hub regions appear to be stable after 5 years of age (Cao et al., 2014; Grayson et al., 2014; Hwang et al., 2013; Wang et al., 2012; Wu et al., 2013; Zuo et al., 2012).”
BackgroundThe potential of infant fMRI research and the study of early life stress as a promising exemplar
Graham, A. M., Pfeifer, J. H., Fisher, P. A., Lin, W., Gao, W., & Fair, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.005 · Cited by 114
Self-citationSrinivasan, R. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00080-2 · Cited by 112 · cited 2×
“, 2012) and strength of long-range anterior-posterior and interhemispheric connections (Barry et al., 2004; Miskovic et al., 2015; Smit et al., 2012; Srinivasan, 1999).”
BackgroundKang, J., Wang, L., Yan, C., Wang, J., Liang, X., & He, Y. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.033 · Cited by 111 · cited 1×
“Mounting evidence suggests that the functional connectome exhibits temporal instability that allows it to flexibly switch between multiple different configurations within a scanning session (Allen et al., 2014; Chang and Glover, 2010; Kang et al., 2011; Shen et al., 2015).”
BackgroundFunctional connectivity of the sensorimotor area in naturally sleeping infants
Liu, W.-C., Flax, J. F., Guise, K. G., Sukul, V., & Benasich, A. A. (2008) · Brain Research · doi:10.1016/j.brainres.2008.05.054 · Cited by 110 · cited 3×
“…componentbased approaches demonstrate the existence of robust, bilateral segregated networks for somatomotor, primary auditory, primary visual, and extrastriate visual cortex (Fransson et al., 2007; Gao et al., 2015a; Kiviniemi et al., 2000; Lin et al., 2008; Liu et al., 2008; Smyser et al., 2010).”
BackgroundAndoh, J., Matsushita, R., & Zatorre, R. J. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2333-15.2015 · Cited by 109 · cited 3×
“…induced perturbations (e.g. exogenous stimulation or inactivation) result in widespread, complex neurophysiological changes, which are at least partly explainable as local interactions with global network structure (Andoh et al., 2015; Grayson et al., 2016; Gu et al., 2015a; Misic et al., 2015).”
BackgroundMethodConnectome-wide network analysis of youth with Psychosis-Spectrum symptoms
Satterthwaite, T. D., Vandekar, S., Wolf, D. H., Bassett, D. S., Ruparel, K., Shehzad, Z. E., Craddock, R. C., Shinohara, R. T., Moore, T. M., Gennatas, E. D., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.66 · Cited by 107
Gates, K. M., Molenaar, P. C. M., Iyer, S. P., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091322 · Cited by 107 · cited 4×
“Complex, distributed disruptions in resting-state networks are consistently implicated in Schizophrenia (Baker et al., 2014; Khadka et al., 2013; Satterthwaite et al., 2015), ADHD (Castellanos and Aoki, 2016; Fair et al., 2012b), and Autism (Kessler et al., 2016; Moseley et al., 2015; Supekar et al., 2013) – though a…”
BackgroundInfluentialSelf-citationFransson, P., Metsäranta, M., Blennow, M., Ådén, U., Lagercrantz, H., & Vanhatalo, S. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs047 · Cited by 106 · cited 1×
“Recent simultaneous EEG-fMRI work (Fransson et al., 2013) links developmental differences (infants versus adults) in rs-fcmri network dynamics with differences in EEG power spectra.”
BackgroundA Monte Carlo evaluation of weighted community detection algorithms
Gates, K. M., Henry, T., Steinley, D., & Fair, D. A. (2016) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2016.00045 · Cited by 106 · cited 1×
“In the case of identified networks in infants it is important to note that different community detection algorithms can provide unique results and all are not appropriate for any given experimental condition (Gates et al., 2016).”
BackgroundSelf-citationScott, J. A., Grayson, D. S., Fletcher, E., Lee, A., Bauman, M. D., Schumann, C. M., Buonocore, M. H., & Amaral, D. G. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1076-x · Cited by 104 · cited 5×
“…a well-validated approach to help overcome some of these confounds (Avants et al., 2010; Fonov et al., 2011), and is increasingly adopted in both structural and functional studies of (especially early) development (Eggebrecht et al., 2017; Fonov et al., 2011; Gao et al., 2015a; Scott et al., 2015).”
BackgroundInfluentialSelf-citationAge and gender effects in EEG coherence: i. Developmental trends in normal children
Barry, R. J., Clarke, A. R., McCarthy, R., Selikowitz, M., Johnstone, S. J., & Rushby, J. A. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.05.004 · Cited by 104 · cited 2×
“, 2012) and strength of long-range anterior-posterior and interhemispheric connections (Barry et al., 2004; Miskovic et al., 2015; Smit et al., 2012; Srinivasan, 1999).”
BackgroundFunctional connectivity in the developing brain: a longitudinal study from 4 to 9months of age
Damaraju, E., Caprihan, A., Lowe, J. R., Allen, E. A., Calhoun, V. D., & Phillips, J. P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.038 · Cited by 103 · cited 2×
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
BackgroundMR connectomics: a conceptual framework for studying the developing brain
Hagmann, P., Grant, P. E., & Fair, D. A. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00043 · Cited by 96 · cited 4×
“…changes in cerebral vasculature, and altered state of consciousness when scanning very young participants. fMRI relies on hemodynamic measurements (usually BOLD), and there is good reason to suspect that infancy is accompanied by specific changes in neurovascular coupling (Hagmann et al., 2012).”
BackgroundResultInfluentialSelf-citationConsistent Anterior–Posterior Segregation of the Insula During the First 2 Years of Life
Alcauter, S., Lin, W., Smith, J. K., Gilmore, J. H., & Gao, W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht312 · Cited by 94 · cited 2×
“Community structure assessed at two years of age (Alcauter et al., 2015b; Gao et al., 2015b) indicates the presence of distinct modules encompassing early auditory, early somatomotor, and early visual areas, and potentially, other prototypical modules similar to the canonical salience,…”
BackgroundPreterm birth alters neonatal, functional rich club organization
Scheinost, D., Kwon, S. H., Shen, X., Lacadie, C., Schneider, K. C., Dai, F., Ment, L. R., & Constable, R. T. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1096-6 · Cited by 91 · cited 2×
“It is also clear that several prenatal factors (e.g. immune and endocrine systems) strongly affect postnatal network trajectories (Canetta et al., 2016; Scheinost et al., 2016b).”
BackgroundSimulated rich club lesioning in brain networks: a scaffold for communication and integration?
de Reus, M. A., & van den Heuvel, M. P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00647 · Cited by 89
Functional properties of resting state networks in healthy full-term newborns
De Asis-Cruz, J., Bouyssi-Kobar, M., Evangelou, I., Vezina, G., & Limperopoulos, C. (2015) · Scientific Reports · doi:10.1038/srep17755 · Cited by 85 · cited 4×
“…default mode, attentional, sensorimotor, and visual areas (Cao et al., 2014; Fransson et al., 2011; Grayson et al., 2014; Hwang et al., 2013), whereas neonatal hubs primarily involve early sensorimotor, visual, and limbic regions (De Asis-Cruz et al., 2015; Fransson et al., 2011; Gao et al., 2011).”
BackgroundInfluentialWhole-brain functional hypoconnectivity as an endophenotype of autism in adolescents
Moseley, R. L., Ypma, R. J. F., Holt, R., Floris, D. L., Chura, L. R., Spencer, M. D., Baron‐Cohen, S., Suckling, J., Bullmore, E. T., & Rubinov, M. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.07.015 · Cited by 85 · cited 6×
“DSG was supported by an Autism Speaks Dennis Weatherstone Predoctoral Fellowship (#9591).”
BackgroundInfluentialAge effects on the default mode and control networks in typically developing children
Sato, J. R., Salum, G. A., Gadelha, A., Picon, F. A., Pan, P. M., Vieira, G., Zugman, A., Hoexter, M. Q., Anés, M., Moura, L. M., et al. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.07.004 · Cited by 85
Head motion and correction methods in resting-state functional MRI
GOTO, M., ABE, O., MIYATI, T., YAMASUE, H., GOMI, T., & TAKEDA, T. (2016) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.rev.2015-0060 · Cited by 82
Satterthwaite, T. D., & Baker, J. T. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.005 · Cited by 80 · cited 4×
“The first challenge is the ever-expanding evidence that Schizophrenia (Meda et al., 2014; Satterthwaite and Baker, 2015), ADHD (Costa Dias et al., 2015; Fair et al., 2012a; Gates et al., 2014; Karalunas et al., 2014), Autism (Jeste and Geschwind, 2014; Rudie et al., 2012), and potentially other DSM…”
BackgroundInfluentialAssociated Microscale Spine Density and Macroscale Connectivity Disruptions in Schizophrenia
van den Heuvel, M. P., Scholtens, L. H., de Reus, M. A., & Kahn, R. S. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.10.005 · Cited by 70
Wisner, K. M., Atluri, G., Lim, K. O., & MacDonald, A. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.066 · Cited by 66 · cited 1×
“Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
BackgroundDynamic network centrality summarizes learning in the human brain
Mantzaris, A. V., Bassett, D. S., Wymbs, N. F., Estrada, E., Porter, M. A., Mucha, P. J., Grafton, S. T., & Higham, D. J. (2013) · Journal of Complex Networks · doi:10.1093/comnet/cnt001 · Cited by 64 · cited 2×
“, 2012) and node communicability (de Reus and van den Heuvel, 2014; Mantzaris et al., 2013) have seen useful application as well.”
Background
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Cited by
Sorted by citations
Marek, S., & Dosenbach, N. U. F. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/smarek · Cited by 836
Farahani, F. V., Karwowski, W., & Lighthall, N. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00585 · Cited by 765
“Modeling the lifetime trajectory of the functional connectome, multiple studies detected striking age-related alterations in highly connected hub areas mainly within the default mode, attentional, sensorimotor, and visual regions via rs-fMRI (Meunier et al., 2009; Fransson et al., 2011; Hwang et al., 2013; Wu et al.,…”
Environmental influences on the pace of brain development
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The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
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“, 1994) with aspects of the current state of knowledge summarized in several recent review papers (Cao et al., 2017; Dehaene-Lambertz and Spelke, 2015; Grayson and Fair, 2017; Gao et al., 2016; Huppi, 2011) and highlighted in the current issue.”
Segregated Systems of Human Brain Networks
Wig, G. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.006 · Cited by 374
Metadata
- Authors
- Grayson, D. S., & Fair, D. A.
- Affiliations
- Oregon Health & Science University (US)
- Corresponding author
- Fair, Damien A.
- ORCID
- Fair, Damien A.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 160
- Pages
- 15-31
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5538933
- OpenAlex
- W2585998010
- Cited by
- 411
- References
- 259
- Citations by year
- 2026: 35 · 2025: 38 · 2024: 58 · 2023: 45 · 2022: 51 · 2021: 47 · 2020: 49 · 2019: 42 · 2018: 38 · 2017: 8
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 397 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- NeuroImage (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Autism Speaks Dennis Weatherstone Predoctoral Fellowship (9591)
- DeStefano Family Foundation
- Gates Foundation
- MacArthur foundation
- National Institutes of Health (UG3 OD023349, R01 MH105538, R01 MH096773, R01MH107508, P60-AA010760, R01 MH086654, R00MH091238)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- functional brain networks, developmental trajectories, resting-state functional connectivity, structural connectivity, cognitive development, network science
- MeSH terms
- Brain, Cognition, Humans, Magnetic Resonance Imaging, Neural Pathways, Neuroimaging
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