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Dataset Information

Aberrant Temporal Connectivity in Persons at Clinical High Risk for Psychosis.


ABSTRACT:

Background

Schizophrenia, a neurodevelopmental disorder, involves abnormalities in functional connectivity (FC) across distributed neural networks, which are thought to antedate the emergence of psychosis. In a cohort of adolescents and young adults at clinical high risk (CHR) for psychosis, we applied data-driven approaches to resting-state fMRI data so as to systematically characterize FC abnormalities during this period and determine whether these abnormalities are associated with psychosis risk and severity of psychotic symptoms.

Methods

Fifty-one CHR participants and 47 matched healthy controls (HCs) were included in our analyses. Twelve of these CHR participants developed psychosis within 3.9 years. We estimated one multivariate measure of FC and studied its relationsh

SUBMITTER: Colibazzi T 

PROVIDER: S-EPMC5708167 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature