Cognitive relevance of the community structure of the human brain functional coactivation network

By Nicolas Crossley, Andrea Mechelli, Petra E. Vértes, T. Winton-Brown, Ameera X. Patel, Cedric E. Ginestet, Philip K. McGuire, E. Bullmore. 2013

469 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture (2014, background): “(c) Implications for interpreting the relationship between coupling and coactivation Correspondence has been observed between network topography obtained from resting-state functional connectivity and task-induced activations measured across a range of cognitive domains ([71–73], but see [30]).”
Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation (2017, unknown): “…(IQ) as the cognitive trait of interest given the broad relevance of IQ for adaptive function (Davies et al., 2016; Hagenaars et al., 2016) and the wealth of prior research into biological substrates for IQ (Crossley et al., 2013; Dehaene and Changeux, 2011; van den Heuvel et al., 2009).”
Contributions and challenges for network models in cognitive neuroscience (2014, background): “…to specific cognitive domains were also found in a matrix expressing the similarity of regional activation profiles across a large set of task related activation studies 53 , and individual regions as well as networks were found to be associated with distinct ‘functional fingerprints’ 54 ( Fig.”
The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, methodology): “valuable for integrative information processing and adaptive behaviour (van den Heuvel et al., 2012; Crossley et al., 2013).”
Network hubs in the human brain. (2013, methodology): “Network communities are important descriptors of brain network organization and have proved useful in mapping functional networks in resting [42] and task-evoked coactivation studies [43].”
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, background): “…for cognitive function (Friston, 2009; Sporns, 2013; Deco et al., 2015), existing literature relating network reconfiguration across tasks rarely interprets findings within this dual segregation-integration framework (but see Bertolero et al., 2015; Crossley et al., 2013; Yeo et al., 2015).”
Modular Brain Networks (2015, unknown): “Another study, rather than directly measuring functional connectivity, relied on a meta-analytic approach for building brain coactivation maps (Crossley et al. 2013).”
The modular and integrative functional architecture of the human brain (2015, methodology): “Second, we analyzed a spontaneous neural activity (measured via rs-fMRI) correlation matrix from another group (35) using a fifth brain atlas.”
Changes in structural and functional connectivity among resting-state networks across the human lifespan (2014, background): “, 2011), and strongly resemble collections of brain regions corresponding to task-evoked sensory, motor and higher-order cognitive systems (Crossley et al., 2013; Smith et al., 2009).”
The trees and the forest: Characterization of complex brain networks with minimum spanning trees. (2014, unknown): “Functional brain networks may also change during the performance of cognitive tasks, during sleep and in coma (Crossley et al., 2013; Uehara et al., 2013).”
Two’s company, three (or more) is a simplex (2016, background): “Different types of complexes can be used to encode co-firing of neurons (Curto and Itskov 2008), co-activation of brain areas (Crossley et al. 2013), and structural and functional connections between neurons or brain regions (Bullmore and Sporns 2009) (Fig.”
Network neuroscience (2017, methodology): “Aggregating brain imaging data from thousands of such studies allowed the construction of ‘co-activation networks’, whose major components and overall network topology strongly resembled functional networks derived from resting-state (task-free) recordings 33 .”
The Human Thalamus Is an Integrative Hub for Functional Brain Networks (2016, background): “The thalamus is one of the most globally connected neural structures (Cole et al., 2010; Crossley et al., 2013); thalamocortical projections relay nearly all incoming information to the cortex, as well as mediate cortico-cortical communication (Sherman and Guillery, 2013).”