Aberrant posterior cingulate connectivity classify first-episode schizophrenia from controls: A machine learning study
Abstract
Posterior cingulate cortex (PCC) is a key aspect of the default mode network (DMN). Aberrant PCC functional connectivity (FC) is implicated in schizophrenia, but the potential for PCC related changes as biological classifier of schizophrenia has not yet been evaluated. We conducted a data-driven approach using resting-state functional MRI data to explore differences in PCC-based region- and voxel-wise FC patterns, to distinguish between patients...
Paper Details
Title
Aberrant posterior cingulate connectivity classify first-episode schizophrenia from controls: A machine learning study
Published Date
Jun 1, 2020
Journal
Volume
220
Pages
187 - 193
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