Journal article
Rethinking segregation and integration: contributions of whole-brain modelling
- Abstract:
- The brain regulates information flow by balancing the segregation and integration of incoming stimuli to facilitate flexible cognition and behaviour. The topological features of brain networks — in particular, network communities and hubs — support this segregation and integration but do not provide information about how external inputs are processed dynamically (that is, over time). Experiments in which the consequences of selective inputs on brain activity are controlled and traced with great precision could provide such information. However, such strategies have thus far had limited success. By contrast, recent whole-brain computational modelling approaches have enabled us to start assessing the effect of input perturbations on brain dynamics in silico.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 2.1MB, Terms of use)
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- Publisher copy:
- 10.1038/nrn3963
Authors
- Publisher:
- Nature Research
- Journal:
- Nature reviews. Neuroscience More from this journal
- Volume:
- 16
- Issue:
- 7
- Pages:
- 430-439
- Publication date:
- 2015-06-17
- DOI:
- EISSN:
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1471-0048
- ISSN:
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1471-003X
- Pmid:
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26081790
- Language:
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English
- Keywords:
- Pubs id:
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pubs:528092
- UUID:
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uuid:82577a13-67e0-435b-9134-479041cfc8ed
- Local pid:
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pubs:528092
- Source identifiers:
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528092
- Deposit date:
-
2016-12-20
Terms of use
- Copyright holder:
- Springer Nature Limited
- Copyright date:
- 2015
- Notes:
- © 2018 Springer Nature Limited This is the accepted manuscript version of the article. The final version is available online from Nature Research at: 10.1038/nrn3963
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