Abstract
Higher cognition may require the globally coordinated integration of specialized brain regions into functional networks. A collection of structural cortical hubs—referred to as the rich club—has been hypothesized to support task-specific functional integration. In the present paper, we use a whole-cortex model to estimate directed interactions between 68 cortical regions from functional magnetic resonance imaging activity for four different tasks (reflecting different cognitive domains) and resting state. We analyze the state-dependent input and output effective connectivity (EC) of the structural rich club and relate these to whole-cortex dynamics and network reconfigurations. We find that the cortical rich club exhibits an increase in outgoing EC during task performance as compared with rest while incoming connectivity remains constant. Increased outgoing connectivity targets a sparse set of peripheral regions with specific regions strongly overlapping between tasks. At the same time, community detection analyses reveal massive reorganizations of interactions among peripheral regions, including those serving as target of increased rich club output. This suggests that while peripheral regions may play a role in several tasks, their concrete interplay might nonetheless be task-specific. Furthermore, we observe that whole-cortex dynamics are faster during task as compared with rest. The decoupling effects usually accompanying faster dynamics appear to be counteracted by the increased rich club outgoing EC. Together our findings speak to a gating mechanism of the rich club that supports fast-paced information exchange among relevant peripheral regions in a task-specific and goal-directed fashion, while constantly listening to the whole network.
Original language | English |
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Pages (from-to) | 1246-1262 |
Number of pages | 17 |
Journal | Human Brain Mapping |
Volume | 39 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
Externally published | Yes |
Funding
European Research Council under the European Union’s Seventh Framework Program (ERC-2010-AdG, ERC), Grant/ Award Number: 269853; European Union’s Horizon 2020 research and innovation program, Grant/Award Number: 720270 (HBP SGA1); ERC Advanced Grant: DYSTRUCTURE, Grant/Award Number: 295129; Spanish Research Project PSI2016-75688-P (AEI/FEDER), and by the European Union’s Horizon 2020 research and innovation program, Grant/Award Number: 720270 (HBP SGA1); Marie Sklodowska-Curie Action grant, Grant/ Award Number: H2020-MSCA-656547; European Research Council Advanced Grant DYSTRUCTURE, Grant/Award Num ber: 295129; Human Brain Project, Grant/ Award Number: FP7-FET-ICT-604102; VIDI grant of The Netherlands Organization for Scientific Research, Grant/Award Number: NWO 452-16-015; NWO ALW open (ALWOP.179).
Funders | Funder number |
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AEI/FEDER | |
ERC advanced | PSI2016-75688-P |
European Union’s Horizon 2020 | |
European Union’s Seventh Framework Program | ERC-2010-AdG |
Marie Sklodowska-Curie Action | H2020-MSCA-656547 |
NWO ALW open | |
The Netherlands Organization for Scientific Research | NWO 452-16-015 |
Seventh Framework Programme | 295129, 269853, 720270, 656547, 604102 |
European Research Council | |
Horizon 2020 | HBP SGA1 |
Keywords
- computational modeling
- dynamics
- effective connectivity
- fMRI
- network analysis
- resting state
- rich club
- task state