Faculty, Staff and Student Publications
Language
English
Publication Date
5-1-2024
Journal
Human Brain Mapping
DOI
10.1002/hbm.26694
PMID
38727014
PMCID
PMC11083889
PubMedCentral® Posted Date
May 2024
PubMedCentral® Full Text Version
Post-print
Abstract
Schizophrenia (SZ) is a debilitating mental illness characterized by adolescence or early adulthood onset of psychosis, positive and negative symptoms, as well as cognitive impairments. Despite a plethora of studies leveraging functional connectivity (FC) from functional magnetic resonance imaging (fMRI) to predict symptoms and cognitive impairments of SZ, the findings have exhibited great heterogeneity. We aimed to identify congruous and replicable connectivity patterns capable of predicting positive and negative symptoms as well as cognitive impairments in SZ. Predictable functional connections (FCs) were identified by employing an individualized prediction model, whose replicability was further evaluated across three independent cohorts (BSNIP, SZ = 174; COBRE, SZ = 100; FBIRN, SZ = 161). Across cohorts, we observed that altered FCs in frontal-temporal-cingulate-thalamic network were replicable in prediction of positive symptoms, while sensorimotor network was predictive of negative symptoms. Temporal-parahippocampal network was consistently identified to be associated with reduced cognitive function. These replicable 23 FCs effectively distinguished SZ from healthy controls (HC) across three cohorts (82.7%, 90.2%, and 86.1%). Furthermore, models built using these replicable FCs showed comparable accuracies to those built using the whole-brain features in predicting symptoms/cognition of SZ across the three cohorts (r = .17-.33, p < .05). Overall, our findings provide new insights into the neural underpinnings of SZ symptoms/cognition and offer potential targets for further research and possible clinical interventions.
Keywords
Humans, Schizophrenia, Magnetic Resonance Imaging, Male, Adult, Female, Connectome, Cognitive Dysfunction, Cohort Studies, Nerve Net, Young Adult, Middle Aged
Published Open-Access
yes
Recommended Citation
Zhao, Chunzhi; Jiang, Rongtao; Bustillo, Juan; et al., "Cross-Cohort Replicable Resting-State Functional Connectivity In Predicting Symptoms and Cognition of Schizophrenia" (2024). Faculty, Staff and Student Publications. 2543.
https://digitalcommons.library.tmc.edu/uthmed_docs/2543
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