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ABSTRACT: Background
Working memory (WM) deficits are a key feature of schizophrenia and are also seen in unaffected siblings. These deficits might arise from disrupted transitions from one brain state to another. Using a robust algorithm called the Bayesian Switching Dynamical System (BSDS), we studied hidden brain states and their transitions during a WM task in people with schizophrenia.Methods
We used BSDS to identify brain states based on regions of interest (ROIs) within the default mode network and the frontoparietal network in 161 patients with schizophrenia, 37 unaffected siblings, and 96 healthy controls during N-back (0, 2, and resting fixation) tasks. We estimated group differences in the properties of brain states and studied the influence of WM performance and clinical
SUBMITTER: Wang F
PROVIDER: S-EPMC12220267 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature