Network community structure alterations in adult schizophrenia: identification and localization of alterations

NeuroImage. Clinical
Dov B Lerman-Sinkoff, Deanna M Barch

Abstract

A growing body of literature suggests functional connectivity alterations in schizophrenia. While findings have been mixed, evidence points towards a complex pattern of hyper-connectivity and hypo-connectivity. This altered connectivity can be represented and analyzed using the mathematical frameworks provided by graph and information theory to represent functional connectivity data as graphs comprised of nodes and edges linking the nodes. One analytic technique in this framework is the determination and analysis of network community structure, which is the grouping of nodes into linked communities or modules. This data-driven technique finds a best-fit structure such that nodes in a given community have greater connectivity with nodes in their community than with nodes in other communities. These community structure representations have been found to recapitulate known neural-systems in healthy individuals, have been used to identify novel functional systems, and have identified and localized community structure alterations in a childhood onset schizophrenia cohort. In the present study, we sought to determine whether community structure alterations were present in an adult onset schizophrenia cohort while stringently controll...Continue Reading

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Citations

Aug 18, 2016·Schizophrenia Research·Monica Giraldo-Chica, Neil D Woodward
May 28, 2020·Frontiers in Physiology·Marta MoraschiFederico Giove
Sep 11, 2020·Cerebral Cortex·Marjolein SpronkMichael W Cole
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Feb 8, 2020·NeuroImage. Clinical·George GiffordPhilip McGuire
Oct 16, 2020·The International Journal of Neuroscience·Rutvi Prajapati, Isaac Arnold Emerson
Aug 7, 2021·Psychiatry Research. Neuroimaging·Han-Yu ZhouRaymond C K Chan
Sep 2, 2021·Addiction Biology·Cecile BordierAngelo Bifone

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Software Mentioned

Power
MATLAB
Freesurfer
Infomap
Caret
Connectome Workbench

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