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Understanding brain networks and brain organization
Open accessAbstract
What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure and function in the brain that will motivate a network perspective to understanding this question. However, as others in the past, I argue that a network perspective should supplant the common strategy of understanding the brain in terms of individual regions. Whereas this perspective is needed for a fuller characterization of the mind-brain, it should not be viewed as panacea. For one, the challenges posed by the many-to-many mapping between regions and functions is not dissolved by the network perspective. Although the problem is ameliorated, one should not anticipate a one-to-one mapping when the network approach is adopted. Furthermore, decomposition of the brain network in terms of meaningful clusters of regions, such as the ones generated by community-finding algorithms, does not by itself reveal "true" subnetworks. Given the hierarchical and multi-relational relationship between regions, multiple decompositions will offer different "slices" of a broader landscape of networks within the brain. Finally, I described how the function of brain regions can be characterized in a multidimensional manner via the idea of diversity profiles. The concept can also be used to describe the way different brain regions participate in networks.
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“multiple structural network configurations can theoretically give rise to the same apparent aberrations in function – this is essentially the ‘many-to-many mappings’ problem very nicely described in (Pessoa, 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Pessoa, 2014
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“There are numerous lines of evidence to suggest that brain-behavior relationships are not simply one-to-one (Pessoa, 2014).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Pessoa, 2014
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Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs270 · Cited by 857 · cited 1×
“global level, Markov, Kennedy and colleagues injected a retrograde tracer into 29 cortical areas distributed relatively evenly across the macaque cortex [40], allowing them to determine connectivity for a complete 29 × 29 connectivity graph.”
BackgroundCerebral hemisphere regulation of motivated behavior
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“The hypothalamus is probably the largest source of nonthalamic direct input to cortex, as reviewed in detail by Larry Swanson and colleagues [29, 83].”
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“In addition to substantial connections between the amygdala and both medial and orbital aspects of prefrontal cortex, recent findings indicate that bidirectional connectivity is present also along the lateral surface [81] – although the connections are relatively weak.”
BackgroundInferring mental states from neuroimaging data: from reverse inference to large-scale decoding
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BackgroundMosaic evolution of brain structure in mammals
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The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones
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BackgroundInfluentialAnatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
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BackgroundAge-related changes in modular organization of human brain functional networks
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Communicability in complex networks
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BackgroundInfluentialEvidence for hubs in human functional brain networks
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“In this context, Power and colleagues [132] discuss the shortcomings of using the measure of degree to define node importance and suggest other measures instead.”
BackgroundCombinatorial amygdalar inputs to hippocampal domains and hypothalamic behavior systems
Petrovich, G. D., Canteras, N. S., & Swanson, L. W. (2001) · Brain Research Reviews · doi:10.1016/s0165-0173(01)00080-7 · Cited by 662 · cited 3×
“For instance, Swanson and colleagues reported that on the order of 600 connections of the amygdala were known at the time of their publication [30], and estimated that the total would likely be closer to 1000.”
BackgroundInferring psychological significance from physiological signals.
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BackgroundInfluentialCortical high-density counterstream architectures
Markov, N. T., Ercsey-Ravasz, M., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Science · doi:10.1126/science.1238406 · Cited by 616 · cited 1×
“In recent computational analyses, Markov and colleagues [42] suggest the intriguing possibility that, at higher densities, rewiring (i.”
BackgroundGraph-based network analysis of resting-state functional MRI
Wang, J. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00016 · Cited by 614
Structural foundations of resting-state and task-based functional connectivity in the human brain
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“21 Hermundstad and colleagues [39], who averaged the values of several network diagnostics across one hundred partitions.”
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“Using a similar approach, Postuma and Dagher [120] identified patterns of co-activation between the cortex and striatum that appear to reflect the cortico-striatal loops proposed by Alexander and colleagues [67].”
MethodFurther contributions to the study of the evolution of the forebrain
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The thalamus is more than just a relay
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“One suggestion [74] is that the pulvinar participates in cortical communication, with direct cortical connections between two areas supplemented by an indirect pathway coursing through the pulvinar or other higher-order thalamic nuclei (Fig.”
BackgroundAn investigation of functional and anatomical connectivity using magnetic resonance imaging
Koch, M. A., Norris, D. G., & Hund-Georgiadis, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.1052 · Cited by 509 · cited 1×
“Koch and colleagues compared anatomical and functional connectivity between cortical patches on adjacent cortical gyri [113].”
BackgroundTowards a network theory of cognition
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“What determines a region’s affiliation? Here, the importance of the context within which a brain region is operating must be considered [47].”
BackgroundDegeneracy and cognitive anatomy
Price, C. J., & Friston, K. J. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01976-9 · Cited by 444 · cited 1×
“In particular, the existence of two or more degenerate systems that do not overlap precludes the existence of a single necessary area for a given function [7].”
BackgroundHumans and great apes share a large frontal cortex
Semendeferi, K., Lu, A., Schenker, N., & Damasio, H. (2002) · Nature Neuroscience · doi:10.1038/nn814 · Cited by 440 · cited 1×
“By comparison, the volume of the human neocortex is 24% larger than expected for a primate of our brain size [92], whereas the human frontal lobe, frequently assumed to be enlarged, is approximately the size expected for an ape of human brain size [93].”
BackgroundSudden Emergence of a Giantk-Core in a Random Graph
Pittel, B. G., Spencer, J., & Wormald, N. (1996) · Journal of Combinatorial Theory Series B · doi:10.1006/jctb.1996.0036 · Cited by 436 · cited 1×
“8 One way to evaluate this is to use k-shell decomposition [131].”
MethodCognitive effort drives workspace configuration of human brain functional networks
Kitzbichler, M. G., Henson, R. N. A., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0440-11.2011 · Cited by 427 · cited 1×
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MethodClasses of complex networks defined by role-to-role connectivity profiles
Guimerà, R., Sales‐Pardo, M., & Amaral, L. A. N. (2006) · Nature Physics · doi:10.1038/nphys489 · Cited by 422 · cited 1×
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BackgroundSimultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation
Gerstein, G. L., & Perkel, D. H. (1969) · Science · doi:10.1126/science.164.3881.828 · Cited by 415 · cited 1×
“concept that was initially devised to characterize how neurons interact and was defined as the “temporal coherence” among the activity of different neurons, as measured by crosscorrelating their spike trains [94-96].”
BackgroundThe functional logic of cortico-pulvinar connections
Shipp, S. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1213 · Cited by 411 · cited 3×
“Indeed, sites in the dorsal pulvinar may be connected with relatively distal parts of the brain, such as parietal and frontal cortex [70].”
BackgroundThe primate neocortex in comparative perspective using magnetic resonance imaging
Rilling, J. K., & Insel, T. R. (1999) · Journal of Human Evolution · doi:10.1006/jhev.1999.0313 · Cited by 406 · cited 1×
“By comparison, the volume of the human neocortex is 24% larger than expected for a primate of our brain size [92], whereas the human frontal lobe, frequently assumed to be enlarged, is approximately the size expected for an ape of human brain size [93].”
BackgroundLaird, A., Lancaster, J., & Fox, P. (2007) · Neuroinformatics · doi:10.1385/ni:3:1:065 · Cited by 379
Functional Coactivation Map of the Human Brain
Toro, R., Fox, P. T., & Paus, T. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn014 · Cited by 378 · cited 6×
“[119] identified three functional networks: a fronto-parietal attention network, a resting-state network, and a motor network.”
BackgroundMethodInfluentialAnatomic basis of cognitive-emotional interactions in the primate prefrontal cortex
Barbas, H. (1995) · Neuroscience & Biobehavioral Reviews · doi:10.1016/0149-7634(94)00053-4 · Cited by 374 · cited 2×
“The importance of networks also was emphasized by Barbas in the domain of emotion and cognition [27].”
BackgroundMethodThe corticothalamocortical circuit drives higher-order cortex in the mouse
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“[75], “corticothalamocortical information transfer may represent an important addition to, or even replacement of, the current dogma that corticocortical transfer of primary information exclusively involves direct corticocortical pathways.”
BackgroundReward Reduces Conflict by Enhancing Attentional Control and Biasing Visual Cortical Processing
Padmala, S., & Pessoa, L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00011 · Cited by 362 · cited 2×
“For example, the functional connectivity between two regions with known (or presumed) structural connections can increase or decrease as a function of several variables, including task performance [103], motivation [104], and emotion [105].”
BackgroundSelf-citationRisold, P., Thompson, R. H., & Swanson, L. W. (1997) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00007-6 · Cited by 356 · cited 2×
“The hypothalamus is probably the largest source of nonthalamic direct input to cortex, as reviewed in detail by Larry Swanson and colleagues [29,83].”
BackgroundDefault Mode of Brain Function in Monkeys
Mantini, D., Gerits, A., Nelissen, K., Durand, J., Joly, O., Simone, L., Sawamura, H., Wardak, C., Orban, G. A., Buckner, R. L., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2318-11.2011 · Cited by 343
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“, regions of high connectivity] into a rich club suggests that the communication hubs of the brain do not operate as individual entities, but instead act as a strongly interlinked collective” (see also [37]).”
BackgroundBasic neural mechanisms in behavior.
Lashley, K. S. (1930) · Psychological Review · doi:10.1037/h0074134 · Cited by 331
The Cognitive-Emotional Brain: From Interactions to Integration
Pessoa, L. (2013) · doi:10.7551/mitpress/9780262019569.001.0001 · Cited by 331 · cited 4×
“For instance, we could describe the amygdala as emotional given its contributions to fear conditioning, and the dorsal-medial PFC as cognitive given its role in the processing of response conflict [2].”
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Meta-analytic clustering of the insular cortex
Cauda, F., Costa, T., Torta, D. M. E., Sacco, K., D’Agata, F., Duca, S., Geminiani, G. C., Fox, P. T., & Vercelli, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.012 · Cited by 297
The primate pulvinar nuclei: vision and action
Grieve, K. L., Acuña, C., & Cudeiro, J. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01482-4 · Cited by 296 · cited 1×
“The pulvinar complex, as this set of related nuclei is sometimes called, is the largest nuclear mass in the primate thalamus and thought to have expanded in size as it evolved in primates [68,69].”
BackgroundDiverse thalamic projections to the prefrontal cortex in the rhesus monkey
Barbas, H., Henion, T. H. H., & Dermon, C. R. (1991) · Journal of Comparative Neurology · doi:10.1002/cne.903130106 · Cited by 292 · cited 1×
“Notably, many extensive fronto-parietal cortical connections are mirrored by overlapping fields in the pulvinar [72,73]: where regions in frontal and parietal cortex are interconnected in the cortex, their projection sites in the pulvinar typically coincide (and the connections are bidirectional between pulvinar and c…”
BackgroundHawellek, D. J., Hipp, J. F., Lewis, C., Corbetta, M., & Engel, A. K. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110024108 · Cited by 288 · cited 1×
“Another illustration is given by a study of patients with multiple sclerosis, a pathology that compromises central white matter in a diffuse manner [101].”
BackgroundFunctional ontologies for cognition: The systematic definition of structure and function
Price, C. J., & Friston, K. J. (2004) · Cognitive Neuropsychology · doi:10.1080/02643290442000095 · Cited by 285 · cited 2×
“For instance, the left posterior fusiform gyrus in temporal cortex, which has been implicated in the processing of word forms, animal structures, and so on, can be described by a single, more abstract label of “sensori-motor integration” [8].”
BackgroundNetwork architecture of the long-distance pathways in the macaque brain
Modha, D. S., & Singh, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008054107 · Cited by 283 · cited 8×
“Furthermore, in the network analysis by Modha and Singh [34] discussed previously, several amygdala nuclei (e.”
BackgroundMethodInfluentialBeyond the Tripartite Cognition–Emotion–Interoception Model of the Human Insular Cortex
Uddin, L. Q., Kinnison, J., Pessoa, L., & Anderson, M. L. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00462 · Cited by 275
Self-citationRobinson, J. L., Laird, A. R., Glahn, D. C., Blangero, J., Sanghera, M. K., Pessoa, L., Fox, P. M., Uecker, A. M., Friehs, G. M., Young, K. A., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.010 · Cited by 269
Self-citationCorticocentric myopia: old bias in new cognitive sciences
Parvizi, J. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.008 · Cited by 260 · cited 1×
“Indeed, the idea of cortical inhibition of subcortex has a long history dating to early researchers, such as Hughlings–Jackson (see [85]).”
BackgroundThe relation of ongoing brain activity, evoked neural responses, and cognition
Sadaghiani, S. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00020 · Cited by 242
A report of the functional connectivity workshop, Dusseldorf 2002
Lee, L., Harrison, L. M., & Mechelli, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00062-4 · Cited by 231 · cited 1×
“However, the boundary between anatomy and function becomes blurred very quickly once one starts considering factors that characterize the anatomy [94].”
BackgroundCausal effect of disconnection lesions on interhemispheric functional connectivity in rhesus monkeys
O’Reilly, J. X., Croxson, P. L., Jbabdi, S., Sallet, J., Noonan, M. P., Mars, R. B., Browning, P. G. F., Wilson, C. R. E., Mitchell, A. S., Miller, K. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1305062110 · Cited by 225 · cited 2×
“In the patients, functional connectivity increased in the face of a concomitant reduction of anatomical connectivity (see also [102]).”
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“One way to restate the discussion thus far is to consider psychological events (for instance, “functions”, “behaviors”) and physiological events (for instance, brain regions), which can be denoted Ψ and φ, respectively [9].”
BackgroundAdachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., & Miyashita, Y. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr234 · Cited by 211 · cited 1×
“[115] compared existing data on structural connectivity in macaques (data collated in the CoComac database) and functional connectivity obtained during MRI scanning of macaques under anesthesia.”
ResultHierarchical functional modularity in the resting‐state human brain
Ferrarini, L., Veer, I. M., Baerends, E., van Tol, M., Renken, R. J., van der Wee, N. J. A., Veltman, D. J., Aleman, A., Zitman, F. G., Penninx, B. W. J. H., et al. (2008) · Human Brain Mapping · doi:10.1002/hbm.20663 · Cited by 204 · cited 1×
“Nevertheless, I believe that insisting on a non-overlapping partitioning scheme provides a poor characterization of brain organization (see [142, 143]).”
BackgroundNatural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain
Betti, V., Penna, S. D., de Pasquale, F., Mantini, D., Marzetti, L., Romani, G. L., & Corbetta, M. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.022 · Cited by 191
Analysis of Connectivity: Neural Systems in the Cerebral Cortex
Young, M. P., Scanneil, J. W., Burns, G., & Blakemore, C. B. (1994) · Reviews in the Neurosciences · doi:10.1515/revneuro.1994.5.3.227 · Cited by 189 · cited 3×
“The amygdala receives highly processed sensory information [21,78], which is important for value representation since it often depends not on superficial sensory properties, but on those showing some “invariance.”
BackgroundMethodDescribing functional diversity of brain regions and brain networks
Anderson, M. L., Kinnison, J., & Pessoa, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.071 · Cited by 187 · cited 2×
“Recently, we employed a data-driven approach to investigate the functional repertoire of brain regions based on a large set of functional MRI studies [154].”
BackgroundMethodSelf-citationIntact Bilateral Resting-State Networks in the Absence of the Corpus Callosum
Tyszka, J. M., Kennedy, D. P., Adolphs, R., & Paul, L. K. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1453-11.2011 · Cited by 175 · cited 1×
“A striking example of structure-function dissociation was reported by Tyszka and colleagues [114] who investigated an unusual population of adults without the corpus callosum, which provides the major communication pathway between the two hemispheres.”
BackgroundIndeterminate Organization of the Visual System
Hilgetag, C. C., O’Neill, M. A., & Young, M. P. (1996) · Science · doi:10.1126/science.271.5250.776 · Cited by 174 · cited 1×
“Based on these assumptions, Hilgetag and colleagues [149] investigated the organization of the visual system and concluded that “the information in the anatomical constraints cannot be expressed satisfactorily by any single hierarchical ordering” [149].”
BackgroundCognitive neuroscience 2.0: building a cumulative science of human brain function
Yarkoni, T., Poldrack, R. A., Van Essen, D. C., & Wager, T. D. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.08.004 · Cited by 174 · cited 1×
“Although this introduces outstanding problems, the availability of data repositories containing the results of thousands of neuroimaging studies provides novel opportunities for the investigation of human brain function [153].”
BackgroundThe Amygdala and Its Place in the Cerebral Hemisphere
Swanson, L. W. (2003) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2003.tb07081.x · Cited by 161 · cited 1×
“Based on the available data at the time, analysis of amygdala pathways by Young and colleagues [21] revealed that, of the 72 cortical areas included in their study, it was connected to all but eight (see also [27,77]).”
MethodNetwork Analysis Reveals Increased Integration during Emotional and Motivational Processing
Kinnison, J., Padmala, S., Choi, J.-M., & Pessoa, L. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0821-12.2012 · Cited by 153 · cited 2×
“In a recent study, we sought instead to understand the network properties of a focused set of brain regions during task conditions engaging them [124].”
BackgroundSelf-citationInferring functional connections between neurons
Stevenson, I. H., Rebesco, J. M., Miller, L. E., & Kording, K. P. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.11.005 · Cited by 150 · cited 1×
“Functional connectivity is at times contrasted with effective connectivity, which attempts to explain the origins of the observed functional relationship and, by definition, assumes a model [99].”
BackgroundDynamics of activity and connectivity in physiological neuronal networks
Aertsen, A. M. H. J., & Preissl, H. T. (1991) · MPG.PuRe (Max Planck Society) · Cited by 148
Paradoxical False Memory for Objects After Brain Damage
McTighe, S. M., Cowell, R. A., Winters, B. D., Bussey, T. J., & Saksida, L. M. (2010) · Science · doi:10.1126/science.1194780 · Cited by 145 · cited 1×
“Given this type of organization, patterns of impairment in perceptual and memory functions following brain damage reflect the demand that each task places (at specific brain locations) rather than dissociable cognitive modules [14,15].”
BackgroundStereological analysis of the rat and monkey amygdala
Chareyron, L. J., Lavenex, P. B., Amaral, D. G., & Lavenex, P. (2011) · The Journal of Comparative Neurology · doi:10.1002/cne.22677 · Cited by 140 · cited 1×
“Chareyron and colleagues [89] found that the lateral, basal, and accessory basal subregions are dramatically more “developed” in monkeys than in rats (based on morphological characteristics, such as cell counts and the volume of subregions).”
BackgroundImpact of state anxiety on the interaction between threat monitoring and cognition
Choi, J. M., Padmala, S., & Pessoa, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.102 · Cited by 137 · cited 1×
“In the emotion task [125], participants viewed an initial cue that determined whether they were in a threat or safe trial; in the motivation task [104], they viewed an initial cue that indicated whether they were in a reward or control trial.”
BackgroundSelf-citationThe Statistical Neuroanatomy of Frontal Networks in the Macaque
Averbeck, B. B., & Seo, M. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000050 · Cited by 118 · cited 5×
“Averbeck and Seo [38] proposed an interesting strategy to tackle this problem.”
BackgroundResultInfluentialCognitive ontologies for neuropsychiatric phenomics research
Bilder, R. M., Sabb, F. W., Parker, D. S., Kalar, D. J., Chu, W. W., Fox, J., Freimer, N. B., & Poldrack, R. A. (2009) · Cognitive Neuropsychiatry · doi:10.1080/13546800902787180 · Cited by 110 · cited 1×
“How should one define the domain structure? One hope is that cognitive ontologies can be defined that meaningfully carve the “mental” into stable categories [8,166].”
BackgroundChanges in cognitive state alter human functional brain networks
Moussa, M. N., Vechlekar, C. D., Burdette, J. H., Steen, M. R., Hugenschmidt, C. E., & Laurienti, P. J. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00083 · Cited by 99
New test for the multivariate two-sample problem based on the concept of minimum energy
Aslan, B., & Zech, G. (2005) · Journal of Statistical Computation and Simulation · doi:10.1080/00949650410001661440 · Cited by 91 · cited 1×
“To contrast brain networks to each other in terms of the functional fingerprints of the component regions, we employed a multivariate test based on “statistical energy” [161].”
MethodA mathematical approach to the connectivity between the cortical visual areas of the macaque monkey
Jouve, B. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.1.28 · Cited by 83 · cited 1×
“A few years later, Jouve and colleagues [41] updated the data set analyzed by Felleman and Van Essen and revised those figures to 37% (observed) and 58% (predicted).”
BackgroundBarger, N., Stefanacci, L., & Semendeferi, K. (2007) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20684 · Cited by 79 · cited 1×
“Work by Barger and colleagues [91] have shown that the lateral nucleus of the amygdala in humans is significantly larger than predicted for an ape of human brain size.”
BackgroundCowell, R. A., Bussey, T. J., & Saksida, L. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21373 · Cited by 75 · cited 1×
“Given this type of organization, patterns of impairment in perceptual and memory functions following brain damage reflect the demand that each task places (at specific brain locations) rather than dissociable cognitive modules [14,15].”
BackgroundChalfin, B. P., Cheung, D. T., Muniz, J. A. P. C., de Lima Silveira, L. C., & Finlay, B. L. (2007) · Journal of Comparative Neurology · doi:10.1002/cne.21406 · Cited by 61 · cited 1×
“The pulvinar complex, as this set of related nuclei is sometimes called, is the largest nuclear mass in the primate thalamus and thought to have expanded in size as it evolved in primates [68,69].”
BackgroundAffective learning enhances activity and functional connectivity in early visual cortex
Damaraju, E., Huang, Y.-M., Barrett, L. F., & Pessoa, L. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.04.023 · Cited by 53 · cited 1×
“In one study, the functional connectivity pattern between early visual areas was investigated during affective and neutral contexts [106].”
BackgroundSelf-citationStepniewska, I. (2003) · Frontiers in neuroscience · doi:10.1201/9780203507599.ch3 · Cited by 43 · cited 1×
“For example, all twenty to thirty known visual cortical areas connect with the pulvinar, sometimes in a relatively topographic fashion [70,71].”
BackgroundBeyond Statistical Significance: Implications of Network Structure on Neuronal Activity
Vlachos, I., Aertsen, A., & Kumar, A. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002311 · Cited by 27 · cited 4×
“Here, I build upon a recent discussion by Vlachos and colleagues [128], who considered this question in the context of neurons.”
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Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Flagged first, then by citations
Research works printed but not linked: 1
- Fox, 2005, The human brain is intrinsically organized into dynamic, anticorrelated functional networks, Proc Natl Acad Sci USA, 102, 9673, 10.1073/pnas.0504136102 · DOI · Paper page
Cited by
Sorted by citations
Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience
Dajani, D. R., & Uddin, L. Q. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.07.003 · Cited by 1,046
Small-World Brain Networks Revisited
Bassett, D. S., & Bullmore, E. T. (2016) · The Neuroscientist · doi:10.1177/1073858416667720 · Cited by 887
“…of nervous systems since 2006, as evidenced by rapid growth in research articles, reviews and citations related to“brain graphs” and “connectomes” [20–22]; by the publication of several textbooks [23, 24]; and by the recent launch of new specialist journals for network neuroscience [25].”
BackgroundDynamic reconfiguration of frontal brain networks during executive cognition in humans
Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791
Farahani, F. V., Karwowski, W., & Lighthall, N. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00585 · Cited by 765
“…approaches have opened new avenues toward studying the neural mechanisms underlying human cognition and behavior from the view of interregional brain interactions (Park and Friston, 2013; Pessoa, 2014; Sporns, 2014; Medaglia et al., 2015; Petersen and Sporns, 2015; Kriegeskorte and Douglas, 2018).”
BackgroundLutz, A., Jha, A. P., Dunne, J. D., & Saron, C. D. (2015) · American Psychologist · doi:10.1037/a0039585 · Cited by 697
“…these phenomenological dimensions and activity in specific brain regions is plausible because studies concerning emotion and cognition have shown that brain regions’ functions are inherently multidimensional, and that structurally different regions can perform the same function (Pessoa, 2014).”
Background
Metadata
- Authors
- Pessoa, L.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Pessoa, Luiz
- ORCID
- Pessoa, Luiz
- Venue
- Physics of Life Reviews
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 11
- Issue
- 3
- Pages
- 400-435
- ISSN
- 1571-0645 (ISSN-L)
- PMC
- PMC4157099
- OpenAlex
- W2031461126
- Cited by
- 464
- References
- 156
- Citations by year
- 2026: 31 · 2025: 48 · 2024: 47 · 2023: 59 · 2022: 45 · 2021: 37 · 2020: 31 · 2019: 30 · 2018: 26 · 2017: 35 · 2016: 39 · 2015: 19 · 2014: 16
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Physics of Life Reviews (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Institute of Mental Health (R01MH071589)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain networks, brain organization, structure-function mapping, brain-behavior relationship, network perspective, many-to-many mapping, community detection, subnetworks, hierarchical brain organization, brain regions
- MeSH terms
- Algorithms, Animals, Brain, Brain Mapping, Humans, Nerve Net
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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