Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior

Mario Senden*, Niels Reuter, Martijn P. van den Heuvel, Rainer Goebel, Gustavo Deco

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Cognition is hypothesized to require the globally coordinated, functionally relevant integration of otherwise segregated information processing carried out by specialized brain regions. Studies of the macroscopic connectome as well as recent neuroimaging and neuromodeling research have suggested a densely connected collective of cortical hubs, termed the rich club, to provide a central workspace for such integration. In order for rich club regions to fulfill this role they must dispose of a dynamic mechanism by which they can actively shape networks of brain regions whose information processing needs to be integrated. A potential candidate for such a mechanism comes in the form of oscillations which might be employed to establish communication channels among relevant brain regions. We explore this possibility using an integrative approach combining whole-brain computational modeling with neuroimaging, wherein we investigate the local dynamics model brain regions need to exhibit in order to fit (dynamic) network behavior empirically observed for resting as well as a range of task states. We find that rich club regions largely exhibit oscillations during task performance but not during rest. Furthermore, oscillations exhibited by rich club regions can harmonize a set of asynchronous brain regions thus supporting functional coupling among them. These findings are in line with the hypothesis that the rich club can actively shape integration using oscillations.

Original languageEnglish
Pages (from-to)561-574
Number of pages14
JournalNeuroImage
Volume146
DOIs
Publication statusPublished - 1 Feb 2017
Externally publishedYes

Funding

Authors MS and RG were supported by the European Research Council under the European Union's Seventh Framework Programme (ERC-2010-AdG, ERC grant agreement no. 269853). Author GD was supported by the ERC Advanced Grant: DYSTRUCTURE (no. 295129), by the Spanish Research ProjectSAF2010-16085 and by European Community's Seventh Framework Programme under the project ?BrainScales? (project number 269921). Author MPvdH was supported by a VENI grant of The Netherlands Organization for Scientific Research (NWO) (451-12-001) and by a Fellowship of the Brain Center Rudolf Magnus. The authors declare no competing financial interests.

FundersFunder number
ERC-2010-AdG
Seventh Framework Programme295129, 269921, 269853
European Research Council
Nederlandse Organisatie voor Wetenschappelijk Onderzoek451-12-001
Seventh Framework Programme

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