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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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Genre: Zeitschriftenartikel

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externe Referenz:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434074/ (Verlagsversion)
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 Urheber:
Lord, Louis-David1, Autor
Stevner, Angus B.1, 2, Autor
Deco, Gustavo3, 4, 5, 6, Autor           
Kringelbach, Morten L.1, 2, Autor
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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Schlagwörter: Brain connectivity; Computational modelling; Integration and segregation; Network analysis; Neuropsychiatric disorders
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2016-12-052017-05-152017-06-28
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1098/rsta.2016.0283
PMID: 28507228
PMC: PMC5434074
 Art des Abschluß: -

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

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Titel: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  Andere : Phil. Trans. R. Soc. A
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: London : Royal Society
Seiten: - Band / Heft: 375 (2096) Artikelnummer: 20160283 Start- / Endseite: - Identifikator: ISSN: 1364-503X
CoNE: https://pure.mpg.de/cone/journals/resource/954928604111_3