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  Understanding principles of integration and segregation using whole-brain computational connectomics: Implications for neuropsychiatric disorders

Lord, L.-D., Stevner, A. B., Deco, G., & Kringelbach, M. L. (2017). Understanding principles of integration and segregation using whole-brain computational connectomics: Implications for neuropsychiatric disorders. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2096): 20160283. doi:10.1098/rsta.2016.0283.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-A8E7-A Version Permalink: https://hdl.handle.net/21.11116/0000-0004-DB81-3
Genre: Journal Article

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 Creators:
Lord, Louis-David1, Author
Stevner, Angus B.1, 2, Author
Deco, Gustavo3, 4, 5, 6, Author           
Kringelbach, Morten L.1, 2, Author
Affiliations:
1Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
2Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
3Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
4Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
6School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              

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Free keywords: Brain connectivity; Computational modelling; Integration and segregation; Network analysis; Neuropsychiatric disorders
 Abstract: To survive in an ever-changing environment, the brain must seamlessly integrate a rich stream of incoming information into coherent internal representations that can then be used to efficiently plan for action. The brain must, however, balance its ability to integrate information from various sources with a complementary capacity to segregate information into modules which perform specialized computations in local circuits. Importantly, evidence suggests that imbalances in the brain's ability to bind together and/or segregate information over both space and time is a common feature of several neuropsychiatric disorders. Most studies have, however, until recently strictly attempted to characterize the principles of integration and segregation in static (i.e. time-invariant) representations of human brain networks, hence disregarding the complex spatio-temporal nature of these processes. In the present Review, we describe how the emerging discipline of whole-brain computational connectomics may be used to study the causal mechanisms of the integration and segregation of information on behaviourally relevant timescales. We emphasize how novel methods from network science and whole-brain computational modelling can expand beyond traditional neuroimaging paradigms and help to uncover the neurobiological determinants of the abnormal integration and segregation of information in neuropsychiatric disorders.This article is part of the themed issue 'Mathematical methods in medicine: neuroscience, cardiology and pathology'.

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Language(s): eng - English
 Dates: 2016-12-052017-05-152017-06-28
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1098/rsta.2016.0283
PMID: 28507228
PMC: PMC5434074
 Degree: -

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Funding organization : Canadian Institutes of Health Research (CIHR)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Canadian Centennial Scholarship Fund
Project name : -
Grant ID : -
Funding program : Mann Senior Scholarship
Funding organization : University of Oxford, Hertford College
Project name : The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting / CAREGIVING
Grant ID : 615539
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain / DYSTRUCTURE
Grant ID : 295129
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : -
Grant ID : PSI2013-42091-P
Funding program : Research Personnel Training program
Funding organization : Spanish Ministry of Economy and Competitiveness

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Title: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  Other : Phil. Trans. R. Soc. A
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Royal Society
Pages: - Volume / Issue: 375 (2096) Sequence Number: 20160283 Start / End Page: - Identifier: ISSN: 1364-503X
CoNE: https://pure.mpg.de/cone/journals/resource/954928604111_3