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

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
Louis-David LordMorten L Kringelbach

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 tr...Continue Reading

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Citations

Apr 25, 2019·Human Brain Mapping·Jing GuoHuafu Chen
Aug 7, 2019·The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry·Ali AmadPierre A Geoffroy
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Jan 26, 2021·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Alison Hanson
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Mar 30, 2021·Brain Topography·Katharina GlombBenedetta Franceschiello
Jun 3, 2021·Proceedings of the National Academy of Sciences of the United States of America·Rong WangChangsong Zhou
Aug 3, 2021·Frontiers in Computational Neuroscience·Carlos Coronel-OliverosPatricio Orio
Oct 6, 2021·Scientific Reports·Elisenda BueichekúJorge Sepulcre

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