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Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia.


ABSTRACT: Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first-degree relatives and 35 control subjects. Analysis on ICA-derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P?

SUBMITTER: Chahine G 

PROVIDER: S-EPMC6866857 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia.

Chahine George G   Richter Anja A   Wolter Sarah S   Goya-Maldonado Roberto R   Gruber Oliver O  

Human brain mapping 20161223 4


Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first-degree relatives and 35 control subjects. Analysis on ICA-derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia p  ...[more]

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