The DOI matches its Crossref record; 213 of the 259 references it cites were found in a registry or an index; 1 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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Claims the paper makes
1 of 308 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
None of the sources cited for this claim have been checked yet.
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
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone 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
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The adult brain has several modules at the coarsest level that are remarkably reproducible despite slight methodological differences across studies (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 > Graph theory techniques for defining network organization > Community Structure
What the sources say
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- 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.
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably 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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably 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
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt 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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Strength:boosted· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably 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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably 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.”
Citations
Cites
1 retracted
Karalunas, S. L., Fair, D., Musser, E. D., Aykes, K., Iyer, S. P., & Nigg, J. T. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.763 · Cited by 340 · 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-citationRetractedCollective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · cited 1×
“When networks exhibit both high global efficiency and high average clustering coefficients, they exhibit “small-world” organization (Watts and Strogatz, 1998).”
BackgroundFunctional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · cited 1×
“…to functional connectivity are evolving rapidly Correlated resting-state activity was first identified in bilateral sensorimotor cortex by Biswal et al. (1995), followed soon after by similar findings of bilaterally correlated activity in early visual and early auditory cortex (Cordes et…”
BackgroundThe Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · cited 2×
“In animal 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).”
MethodA New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · cited 2×
“…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) and are associated with task-relevant behavioral performance (Cole et al., 2012; Lewis et al., 2009).”
Background
Flagged first, then by citations
46 of the 259 references couldn’t be matched to a known paper.
Research works printed but not linked: 29
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- Burgess, 2016, Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the human connectome project, Brain Connect, 6, 669, 10.1089/brain.2016.0435 · DOI · Paper page
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- Gao, 2016, Functional connectivity of the infant human brain: plastic and modifiable, Neuroscientist
- Glasser, 2016, The Human Connectome Project's neuroimaging approach, Nat. Neurosci., 19, 1175, 10.1038/nn.4361 · DOI · Paper page
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- Kessler, 2016, Brain oscillations and connectivity in autism spectrum disorders (ASD): new approaches to methodology, measurement and modelling, Neurosci. Biobehav. Rev., 71, 601, 10.1016/j.neubiorev.2016.10.002 · DOI · Paper page
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- Marquand, 2016, Beyond lumping and splitting: a review of computational approaches for stratifying psychiatric disorders, Biol. Psychiatry Cogn. Neurosci. Neuroimaging, 1, 433
- Marusak, 2016, Dynamic functional connectivity of neurocognitive networks in children, Hum. Brain Mapp.
- Patriat, 2016, An improved model of motion-related signal changes in fMRI, NeuroImage
- Power, 2016, Sources and implications of whole-brain fMRI signals in humans, NeuroImage
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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
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00457-5 · Cited by 488
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
Howell, B., Styner, M. A., Gao, W., Yap, P., Wang, L., Baluyot, K., Yacoub, E. S., Chen, G., Potts, T., Salzwedel, A., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.049 · Cited by 452
“, 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
Rudolph, M. D., Graham, A. M., Feczko, E., Miranda-Dominguez, O., Rasmussen, J. M., Nardos, R., Entringer, S., Wadhwa, P. D., Buss, C., & Fair, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0128-y · Cited by 374
Self-citationSpatial and Temporal Organization of the Individual Human Cerebellum
Marek, S. A., Siegel, J. S., Gordon, E. M., Raut, R. V., Gratton, C., Newbold, D. J., Ortega, M., Laumann, T. O., Adeyemo, B., Miller, D. B., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.010 · Cited by 291
“Functional networks supporting the maturation of control demonstrate a protracted development throughout adolescence and adulthood (Grayson and Fair, 2017; Luna et al., 2015; Marek et al., 2015).”
Individual Variation in Functional Topography of Association Networks in Youth
Cui, Z., Li, H., Xia, C. H., Larsen, B., Adebimpe, A., Baum, G. L., Cieslak, M., Gur, R. E., Gur, R. C., Moore, T. M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.029 · Cited by 274
Self-citationMovies in the magnet: Naturalistic paradigms in developmental functional neuroimaging
Vanderwal, T., Eilbott, J. A., & Castellanos, F. X. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.10.004 · Cited by 286
“Appropriate approaches to reporting and balancing motion across ages and conditions are still crucial, as is the use of rigorous approaches to mitigating motion artifact (Grayson and Fair, 2017; Power et al., 2015; Yan et al., 2013).”
The development of brain network hubs
Oldham, S., & Fornito, A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.005 · Cited by 257
The neurobiology of irritable bowel syndrome
Mayer, E. A., Ryu, H. J., & Bhatt, R. R. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-01972-w · Cited by 304
Understanding the role of puberty in structural and functional development of the adolescent brain
Goddings, A., Beltz, A., Peper, J. S., Crone, E. A., & Braams, B. R. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12408 · Cited by 219
Rasmussen, J. M., Graham, A. M., Entringer, S., Gilmore, J. H., Styner, M. A., Fair, D. A., Wadhwa, P. D., & Buß, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.020 · Cited by 215
“…developing brain to fully myelinate, based on our findings, the most likely processes to be influenced by maternal IL-6 concentration during pregnancy are pre- and postnatal neurogenesis and changes in axonal coherence (Miranda-Dominguez et al., 2014; Grayson and Fair, 2017; Stafford et al., 2014).”
Self-citationPlasticity and Spontaneous Activity Pulses in Disused Human Brain Circuits
Newbold, D. J., Laumann, T. O., Hoyt, C. R., Hampton, J. M., Montez, D. F., Raut, R. V., Ortega, M., Mitra, A., Nielsen, A. N., Miller, D. B., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.007 · Cited by 184
“Developmental FC changes (Dosenbach et al., 2010; Grayson and Fair, 2017; Nielsen et al., 2019; Smyser et al., 2010) suggest that patterns of coactivation could be accumulated over years, but little is known about the effects of behavioral changes on brain organization over shorter time frames.”
BackgroundA systematic literature review of sex differences in childhood language and brain development
Etchell, A., Adhikari, A., Weinberg, L. S., Choo, A. L., Garnett, E. O., Chow, H. M., & Chang, S.-E. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.04.011 · Cited by 193
Ostlund, B. D., Alperin, B. R., Drew, T., & Karalunas, S. L. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100931 · Cited by 159
Wade, M., Prime, H., Jenkins, J. M., Yeates, K. O., Williams, T. S., & Lee, K. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1459-0 · Cited by 202
“It is now widely accepted that the brain is organized into functional networks, with coordinated activity from multiple regions that support the execution of cognition that drives behavior (Grayson & Fair, 2017).”
BackgroundInterpersonal Neural Entrainment during Early Social Interaction
Wass, S. V., Whitehorn, M., Haresign, I. M., Phillips, E., & Leong, V. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.006 · Cited by 175
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts
Zhang, H., Shen, D. G., & Lin, W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.004 · Cited by 167
Multiscale Structure–Function Gradients in the Neonatal Connectome
Larivière, S., de Wael, R. V., Hong, S., Paquola, C., Tavakol, S., Lowe, A. J., Schrader, D. V., & Bernhardt, B. C. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz069 · Cited by 136
Functional brain connectivity changes across the human life span: From fetal development to old age
Edde, M., Leroux, G., Altena, E., & Chanraud, S. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24669 · Cited by 143
“Age-dependent brain reorganization has been shown through whole-brain FC analyses (Bagarinao et al., 2019; Grayson & Fair, 2017; Sala-Llonch, Bartrés-Faz, & Junqué, 2015; Zuo et al., 2017).”
BackgroundMethodMarek, S. A., Tervo‐Clemmens, B., Nielsen, A. N., Wheelock, M. D., Miller, R. L., Laumann, T. O., Earl, E., Foran, W., Cordova, M., Doyle, O. J., et al. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100706 · Cited by 127
“Predominant neurodevelopmental models (Di Martino et al., 2014; Grayson and Fair, 2017; Luna et al., 2015) hypothesize that maturation of widely-distributed patterns of restingstate functional connectivity (RSFC) within and between functional networks underlie individual differences in cognitive development and that R…”
BackgroundSelf-citationAssociations between Neighborhood SES and Functional Brain Network Development
Tooley, U. A., Mackey, A. P., Ćirić, R., Ruparel, K., Moore, T. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz066 · Cited by 141
“Increased network segregation with development has been widely reported in both structural and functional brain networks [24, 25, 27] and is believed to reflect the increasing segregation and refinement of modular network architecture with age [26], a process that has been found to begin in infancy [48] and continue t…”
BackgroundWakschlag, L. S., Roberts, M. Y., Flynn, R. M., Smith, J. D., Krogh‐Jespersen, S., Kaat, A. J., Gray, L., Walkup, J. T., Marino, B. S., Norton, E. S., et al. (2019) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1561296 · Cited by 142
“Toward this future direction, human connectomics that focus on the maturation of segmentation and integration of brain networks across development also show promise (Grayson & Fair, 2017).”
BackgroundHierarchical functional system development supports executive function
Keller, A. S., Sydnor, V. J., Pines, A. R., Fair, D. A., Bassett, D. S., & Satterthwaite, T. D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.005 · Cited by 130
Self-citationSex differences in functional connectivity during fetal brain development
Wheelock, M. D., Hect, J. L., Hernandez-Andrade, E., Hassan, S. S., Romero, R., Eggebrecht, A. T., & Thomason, M. E. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100632 · Cited by 126
Motor control of handwriting in the developing brain: A review
Palmis, S., Danna, J., Velay, J., & Longcamp, M. (2017) · Cognitive Neuropsychology · doi:10.1080/02643294.2017.1367654 · Cited by 130
“It is accompanied by changes from local and diffuse connectivity to longer-range functional connectivity (Grayson & Fair, 2017; Kelly et al., 2009): brain regions relevant to the task become more specialized, and better organized in long-range networks, in the course of development (Johnson, 2011).”
BackgroundHuman lifespan changes in the brain’s functional connectome
Sun, L., Zhao, T., Liang, X., Xia, M., Li, Q., Liao, X., Gong, G., Wang, Q., Pang, C., Yu, Q., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01907-4 · Cited by 132
Subacute effects of the psychedelic ayahuasca on the salience and default mode networks
Pasquini, L., Palhano-Fontes, F., & de Araújo, D. B. (2020) · Journal of Psychopharmacology · doi:10.1177/0269881120909409 · Cited by 120
“and higher cognitive and emotional functions (Fox et al., 2005; Grayson and Fair, 2017; Smith et al., 2009; van den Heuvel and Hulshoff Pol, 2010).”
Nusslock, R., Brody, G. H., Armstrong, C. C., Carroll, A., Sweet, L. H., Yu, T., Barton, A. W., Hallowell, E. S., Chen, E., Higgins, J. P., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.03.968 · Cited by 109
“Individual differences in rsFC are apparent by late childhood (28).”
BackgroundBarrett, L. F. (2022) · American Psychologist · doi:10.1037/amp0001054 · Cited by 118
“…is strengthened by growing evidence that humans are born with our brains under construction (e.g., Gao et al., 2017; Gilmore et al., 2018; Grayson & Fair, 2017; Zuo et al., 2017), and some of our genes allow our brain development to be biologically shaped by (and coupled to) features of…”
BackgroundKesler, S. R., Rao, A., Blayney, D. W., Oakley-Girvan, I. A., Karuturi, M. S., & Palesh, O. G. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00555 · Cited by 96
“Modularity analysis indicated that all Model 2 regions were part of the default mode network, consistent with prior studies (Fox et al., 2005; Seeley et al., 2007; Grayson and Fair, 2017).”
ResultCui, Z., Stiso, J., Baum, G. L., Kim, J. Z., Roalf, D. R., Betzel, R. F., Gu, S., Lu, Z., Xia, C. H., He, X., et al. (2020) · eLife · doi:10.7554/elife.53060 · Cited by 88
Basic Units of Inter-Individual Variation in Resting State Connectomes
Sripada, C., Angstadt, M., Rutherford, S. E., Kessler, D. A., Kim, Y., Yee, M. A., & Levina, E. (2019) · Scientific Reports · doi:10.1038/s41598-018-38406-5 · Cited by 80
Bryce, N. V., Flournoy, J. C., Moreira, J. F. G., Rosen, M. L., Sambook, K. A., Mair, P., & McLaughlin, K. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118487 · Cited by 83
Lees, B., Squeglia, L. M., McTeague, L. M., Forbes, M. K., Krueger, R. F., Sunderland, M., Baillie, A., Koch, F. C., Teesson, M., & Mewton, L. R. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.007 · Cited by 85
“Gordon parcellation was chosen because it comprises major cortical functional networks, covers the entire cortical surface, has been shown to exceed many other network parcellations with respect to homogeneity of BOLD signal within each parcellation (29, 30), and has been used previously in preadolescent populations (…”
MethodFunctional network integration and attention skills in young children
Rohr, C. S., Arora, A. K., Cho, I. Y. K., Katlariwala, P., Dimond, D., Dewey, D., & Bray, S. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.007 · Cited by 90
“Most developmental studies have found that cognitive ICNs develop during childhood and well into adolescence (Grayson and Fair, 2017).”
InfluentialDissociable multi-scale patterns of development in personalized brain networks
Pines, A. R., Larsen, B., Cui, Z., Sydnor, V. J., Bertolero, M. A., Adebimpe, A., Alexander‐Bloch, A. F., Davatzikos, C. A., Fair, D. A., Gur, R. C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30244-4 · Cited by 83
“These results in part explain the existing heterogeneous literature, which has reported that refinement of both functional network segregation and integration is important for neurocognitive development (Baum et al., 2017; Sherman et al., 2014; Grayson and Fair, 2017; He et al., 2019).”
ResultSelf-citationNeonatal brain injury and aberrant connectivity
Smyser, C. D., Wheelock, M. D., Limbrick, D. D., & Neil, J. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.057 · Cited by 87
Miller, G. E., Chen, E., Armstrong, C. C., Carroll, A., Ozturk, S., Rydland, K., Brody, G. H., Parrish, T. B., & Nusslock, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810067115 · Cited by 83
Teeuw, J., Brouwer, R. M., Guimaraes, J., Brandner, P., Koenis, M. M. G., Swagerman, S. C., Verwoert, M., Boomsma, D. I., & Pol, H. E. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116073 · Cited by 79
Brody, G. H., Yu, T., Nusslock, R., Barton, A. W., Miller, G. E., Chen, E., Holmes, C., McCormick, M., & Sweet, L. H. (2019) · Psychological Science · doi:10.1177/0956797619847989 · Cited by 82
“…across adolescence would interact with receipt of supportive parenting to forecast the rsFC in the CEN and ERN, large neural networks that support cognitive processes affected by poverty and critical for achievement, decision making, affective control, and mental health (Grayson & Fair, 2017).”
BackgroundNaturalistic Language Input is Associated with Resting-State Functional Connectivity in Infancy
King, L. S., Camacho, M. C., Montez, D. F., Humphreys, K. L., & Gotlib, I. H. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0779-20.2020 · Cited by 66
Thomason, M. E., Hect, J. L., Waller, R. E., Manning, J. H., Stacks, A. M., Beeghly, M., Boeve, J. L., Wong, K., van den Heuvel, M. I., Hernandez‐Andrade, E. A., et al. (2018) · Development and Psychopathology · doi:10.1017/s095457941800072x · Cited by 76
“Among the earliest to mature are the motor and sensory systems, which support the ability of the infant to interact with and receive input from the world (Fransson, Åden, Blennow, & Lagercrantz, 2011; Gao et al., 2015; Grayson & Fair, 2017).”
BackgroundBrookes, M. J., Groom, M. J., Liuzzi, L., Hill, R. M., Smith, H. J. F., Briley, P. M., Hall, E. L., Hunt, B. A. E., Gascoyne, L. E., Taylor, M. J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.008 · Cited by 66
The Age of Reason: Functional Brain Network Development during Childhood
Tooley, U. A., Park, A. T., Leonard, J., Boroshok, A. L., McDermott, C. L., Tisdall, M. D., Bassett, D. S., & Mackey, A. P. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0511-22.2022 · Cited by 82
Karahanoğlu, F. I., & Ville, D. V. D. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.09.008 · Cited by 61
Age-related differences in resting-state functional connectivity from childhood to adolescence
Sanders, A. F. P., Harms, M. P., Kandala, S., Marek, S. A., Somerville, L. H., Bookheimer, S. Y., Dapretto, M., Thomas, K. M., Essen, D. C. V., Yacoub, E. S., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad011 · Cited by 68
Ellwood-Lowe, M. E., Whitfield, S., & Bunge, S. A. (2021) · Nature Communications · doi:10.1038/s41467-021-27336-y · Cited by 65
Network-specific selectivity of functional connections in the neonatal brain
Sylvester, C. M., Kaplan, S., Myers, M. J., Gordon, E. M., Schwarzlose, R. F., Alexopoulos, D. K., Nielsen, A. N., Kenley, J. K., Meyer, D., Yu, Q., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac202 · Cited by 63
Self-citationSripada, C., Angstadt, M., Taxali, A., Clark, D. A., Greathouse, T., Rutherford, S. E., Dickens, J., Shedden, K., Gard, A. M., Hyde, L. W., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01704-0 · Cited by 59
“During early adolescence, brain networks exhibit substantial maturation [21] and cognitive abilities rapidly improve [22].”
BackgroundTuresky, T. K., Vanderauwera, J., & Gaab, N. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100893 · Cited by 67
Cotter, D. L., Campbell, C. E., Sukumaran, K., McConnell, R., Berhane, K. T., Schwartz, J. D., Hackman, D. A., Ahmadi, H., Chen, J., & Herting, M. M. (2023) · Environment International · doi:10.1016/j.envint.2023.108001 · Cited by 61
Wang, C., Hu, Y., Weng, J., Chen, F., & Liu, H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116334 · Cited by 60
Steiner, L., Federspiel, A., Slavova, N., Wiest, R., Grunt, S., Steinlin, M. I., & Everts, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117361 · Cited by 55
Circuits for social learning: a unified model and application to autism spectrum disorder
DeMayo, M. M., Young, L. J., Hickie, I. B., Song, Y. J. C., & Guastella, A. J. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.034 · Cited by 52
“There have been many high caliber studies identifying basic mechanisms and broad clinical factors that facilitate social learning (Fitch et al., 2016; Gabard-Durnam et al., 2018; Graham et al., 2016; Grayson and Fair, 2017; Grossmann, 2015; Pitcher et al., 2017; Vasung et al., 2010).”
BackgroundInter-subject synchrony as an index of functional specialization in early childhood
Moraczewski, D., Chen, G., & Redcay, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-20600-0 · Cited by 47
Spatial and spectral trajectories in typical neurodevelopment from childhood to middle age
Hunt, B. A. E., Wong, S. M., Vandewouw, M. M., Brookes, M. J., Dunkley, B. T., & Taylor, M. J. (2019) · Network Neuroscience · doi:10.1162/netn_a_00077 · Cited by 48
García, J. M. P., Suárez‐Suárez, S., Doallo, S., & Cadaveira, F. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104637 · Cited by 51
“This task, defined as a concept categorization task, provides a measure of automatic associations used to assess unconscious bias (Greenwald et al., 1998).”
BackgroundSakurai, T., & Gamo, N. J. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.11.007 · Cited by 54
Emerging neurodevelopmental perspectives on mathematical learning
Menon, V., & Chang, H. (2021) · Developmental Review · doi:10.1016/j.dr.2021.100964 · Cited by 62
Dynamic functional connectivity profile of the salience network across the life span
Snyder, W. E., Uddin, L. Q., & Nomi, J. S. (2021) · Human Brain Mapping · doi:10.1002/hbm.25581 · Cited by 51
“…largescale functional brain networks markedly remodel throughout all stages of life (Bagarinao et al., 2019; Faghiri, Stephen, Wang, Wilson, & Calhoun, 2019; Grayson & Fair, 2017; Gu et al., 2015; Supekar, Musen, & Menon, 2009; Váša et al., 2020; Vij, Nomi, Dajani, & Uddin, 2018; Xia et al., 2019).”
Adolescent development of cortical oscillations: Power, phase, and support of cognitive maturation
Marek, S., Tervo-Clemmens, B., Klein, N., Foran, W., Ghuman, A. S., & Luna, B. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004188 · Cited by 48
Imaging the neural underpinnings of freezing of gait in Parkinson’s disease
Bardakan, M. M., Fink, G. R., Zapparoli, L., Bottini, G., Paulesu, E., & Weiss, P. H. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.103123 · Cited by 51
“The parameters derived from rs-fMRI indicate a correlation (coupled) or an anti-correlation (anticoupled) in the activity of the examined specific functional neural networks/ICNs (Biswal et al., 1995; Grayson and Fair, 2017).”
BackgroundMorris, A. S., Squeglia, L. M., Jacobus, J., & Silk, J. S. (2018) · Journal of Research on Adolescence · doi:10.1111/jora.12379 · Cited by 48
“Advanced methodological and computational approaches have improved the reliability of taskbased fMRI developmental studies (Herting, Gautam, Chen, Mezher, & Vetter, 2017), and have improved data quality (Grayson & Fair, 2017).”
BackgroundUnderstanding Vulnerability and Adaptation in Early Brain Development using Network Neuroscience
Graham, A. M., Marr, M. C., Buß, C., Sullivan, E. L., & Fair, D. A. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.01.008 · Cited by 50
“How will consideration of individualized network architecture influence understanding of the effects of ELS on developing RSNs and global network topology?”
BackgroundInfluentialSelf-citationPark, A. T., Tooley, U. A., Leonard, J., Boroshok, A. L., McDermott, C. L., Tisdall, M. D., & Mackey, A. P. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100909 · Cited by 48
“Early stress exposure is associated with heightened risk for poor mental health later in life (Green et al., 2010; McLaughlin et al., 2012).”
BackgroundVijayakumar, N., Ball, G., Seal, M. L., Mundy, L. K., Whittle, S., & Silk, T. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-88918-w · Cited by 46
Using multiple short epochs optimises the stability of infant EEG connectivity parameters
Haartsen, R., van der Velde, B., Jones, E. J. H., Johnson, M. H., & Kemner, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-68981-5 · Cited by 50
“In addition, developmental changes in connectivity strengths (both functional and structural) may also play a role here 70,73,74 .”
Default mode network scaffolds immature frontoparietal network in cognitive development
Chen, M., He, Y., Lei, H. C., Xu, J., Tian, T., Peng, S., Zhao, G., Lu, J., Zhao, Y., Zhao, H., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac414 · Cited by 55
Demeter, D. V., Engelhardt, L. E., Mallett, R., Gordon, E. M., Nugiel, T., Harden, K. P., Tucker–Drob, E. M., Lewis‐Peacock, J. A., & Church, J. A. (2019) · iScience · doi:10.1016/j.isci.2019.100801 · Cited by 42
Camacho, M. C., Nielsen, A. N., Balser, D., Furtado, E., Steinberger, D. C., Fruchtman, L., Culver, J. P., Sylvester, C. M., & Barch, D. M. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01358-9 · Cited by 51
Cheng, T. W., Mills, K. L., Miranda-Domínguez, Ó., Zeithamová, D., Perrone, A. J., Sturgeon, D., Ewing, S. W. F., Fisher, P. A., Pfeifer, J. H., Fair, D. A., et al. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100894 · Cited by 51
Self-citationDevelopment of Network Topology and Functional Connectivity of the Prefrontal Cortex
Lopez, K. C., Kandala, S., Marek, S. A., & Barch, D. M. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz255 · Cited by 47
Neural circuits regulating visceral pain
Chang, X., Zhang, H., & Chen, S. (2024) · Communications Biology · doi:10.1038/s42003-024-06148-y · Cited by 53
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118843 · Cited by 46
Predicting Brain Age Based on Spatial and Temporal Features of Human Brain Functional Networks
Zhai, J., & Li, K. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00062 · Cited by 40
“…functioning performance is closely related to age and much work has been done trying to disclose how aging affects integration of information within and between functional networks (Song et al., 2014; Geerligs et al., 2015a; Bassett and Sporns, 2017; Damoiseaux, 2017; Grayson and Fair, 2017).”
BackgroundComputing personalized brain functional networks from fMRI using self-supervised deep learning
Li, H., Srinivasan, D., Zhuo, C., Cui, Z., Gur, R. E., Gur, R. C., Oathes, D. J., Davatzikos, C. A., Satterthwaite, T. D., & Yong Fan, A. (2021) · Medical Image Analysis · doi:10.1016/j.media.2023.102756 · Cited by 49
Frew, S., Samara, A., Shearer, H., Eilbott, J. A., & Vanderwal, T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265112 · Cited by 39
“From late childhood to early adulthood, nodes from the somatomotor network were most predictive of age [32, 33].”
BackgroundGaffrey, M. S., Barch, D. M., Luby, J. L., & Petersen, S. E. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.01.024 · Cited by 39
“Functional connectivity measured using rs-fMRI has been suggested to reflect the stability and integrity of connections between brain regions, including changes in these features across development.(20) Because a large body of research has consistently supported the importance of the amygdala in cortico-limbic models…”
MethodKesler, S. R., Ogg, R. J., Reddick, W. E., Phillips, N. S., Scoggins, M., Glass, J. O., Cheung, Y. T., Pui, C., Robison, L. L., Hudson, M. M., et al. (2018) · Brain Connectivity · doi:10.1089/brain.2017.0574 · Cited by 48
“Previous studies demonstrate that the brain network is decomposable into distinct modules or subnetworks representing known functional components (Chen et al., 2013; Grayson and Fair, 2017).”
Stability and similarity of the pediatric connectome as developmental measures
Vanderwal, T., Eilbott, J. A., Kelly, C. A. M., Frew, S., Woodward, T. S., Milham, M. P., & Castellanos, F. X. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117537 · Cited by 39
The handwriting brain in middle childhood
Palmis, S., Velay, J., Habib, M., Anton, J., Nazarian, B., Sein, J., & Longcamp, M. (2020) · Developmental Science · doi:10.1111/desc.13046 · Cited by 45
“More generally, the sensorimotor networks are already mature in children aged 6-7 years (Grayson & Fair, 2017; James & Kersey, 2018; Zielinski et al., 2010), and they vary little between ages 6 and 10 (Grayson & Fair, 2017; Zielinski et al., 2010b).”
BackgroundFine-grained functional parcellation maps of the infant cerebral cortex
Wang, F., Zhang, H., Wu, Z., Hu, D., Zhou, Z., Girault, J. B., Wang, L., Lin, W., & Li, G. (2023) · eLife · doi:10.7554/elife.75401 · Cited by 46
Development of top-down cortical propagations in youth
Pines, A. R., Keller, A. S., Larsen, B., Bertolero, M. A., Ashourvan, A., Bassett, D. S., Cieslak, M., Covitz, S. C., Yong Fan, A., Feczko, E., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.01.014 · Cited by 38
Self-citationDeJoseph, M., Herzberg, M. P., Sifre, R. D., Berry, D., & Thomas, K. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101043 · Cited by 44
“voluntary top-down attentional control as well as detecting and filtering salient stimuli (Grayson and Fair, 2017).”
Default Mode Network Maturation and Environmental Adversities During Childhood
Rebello, K., Moura, L. M., Pinaya, W. H. L., Rohde, L. A., & Sato, J. R. (2018) · Chronic Stress · doi:10.1177/2470547018808295 · Cited by 46
“On the other hand, evidences of environment-gene interactions have identified regularities in neurodevelopmental trajectories of individuals among diverse populations.10,60,123–125 Furthermore, most studies are based on time-stationary patterns of functional while time-varying connectivity analyses might be a valuable…”
BackgroundInfluentialNiebaum, J. C., Chevalier, N., Guild, R. M., & Munakata, Y. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00832-2 · Cited by 43
Sleep to Internalizing Pathway in Young Adolescents (SIPYA): A proposed neurodevelopmental model
Akbar, S. A., Mattfeld, A. T., Laird, A. R., & McMakin, D. L. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104780 · Cited by 40
Rinat, S., Izadi‐Najafabadi, S., & Zwicker, J. G. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102309 · Cited by 44
“Resting-state networks are highly reproducible,[53] and are found consistently across participants and groups, and in different developmental stages.[51-54] Another advantage of rsMRI is the relative simplicity of data collection due to minimal compliance demands, making it a perfect candidate for investigation of neu…”
Progressive Stabilization of Brain Network Dynamics during Childhood and Adolescence
Lei, T., Liao, X., Chen, X., Zhao, T., Xu, Y., Xia, M., Zhang, J., Xia, Y., Sun, X., Wei, Y., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab263 · Cited by 41
Functional connectome through the human life spanPreprint
Sun, L., Zhao, T., Liang, X., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.12.557193 · Cited by 38
“Given the dramatic functional changes that occur during early development 57 , we prioritized the generation of finer age-specific atlases for these stages compared to the later life stages.”
MethodProfiling intra- and inter-individual differences in brain development across early adolescence
Bottenhorn, K. L., Cardenas‐Iniguez, C., Mills, K. L., Laird, A. R., & Herting, M. M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120287 · Cited by 38
“…is foundational to studies of inter-individual variability and has implications for cognitive development (Battista et al., 2018; Blakemore and Choudhury, 2006), neurodevelopmental disorders (Grayson and Fair, 2017), and the emergence of psychopathology (Ferschmann et al., 2022; Paus et al., 2008).”
Foo, H., Mather, K. A., Jiang, J., Thalamuthu, A., Wen, W. X., & Sachdev, P. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.011 · Cited by 35
Sripada, C., Gard, A. M., Angstadt, M., Taxali, A., Greathouse, T., McCurry, K. L., Hyde, L. W., Weigard, A. S., Walczyk, P., & Heitzeg, M. M. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101164 · Cited by 33
“The brain is a highly plastic organ with abundant capacities to learn/relearn, modify, and adjust, consistent with the observation that substantial neural change and reorganization extends through late adolescence up to young adulthood (59, 60).”
BackgroundEarly and late development of hub connectivity in the human brain
Oldham, S., Ball, G., & Fornito, A. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.10.010 · Cited by 30
Hutton, J. S., Dudley, J., Horowitz-Kraus, T., Dewitt, T., & Holland, S. (2019) · Brain Connectivity · doi:10.1089/brain.2019.0679 · Cited by 31
“…DAN and VAN is present by age 2 years and stabilized by adolescence (Grayson and Fair, 2017; Lewis et al., 2018), shaped by environmental factors (Grayson and Fair, 2017; Petersen and Posner, 2012; Rohr et al., 2018), notably cognitive stimulation in the home (Farrant and Uddin, 2015; Knudsen,…”
BackgroundMills, B. D., Grayson, D. S., Shunmugavel, A., Miranda-Domínguez, Ó., Feczko, E., Earl, E., Neve, K. A., & Fair, D. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2910-17.2018 · Cited by 33
Self-citationControl networks of the frontal lobes
Marek, S. A., & Dosenbach, N. U. F. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00018-5 · Cited by 40
Anandakumar, J., Mills, K. L., Earl, E., Irwin, L., Miranda-Domínguez, Ó., Demeter, D. V., Walton-Weston, A., Karalunas, S. L., Nigg, J. T., & Fair, D. A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.07.003 · Cited by 37
Self-citation
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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