Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
Year: 2015
Type: article
Study design: Observational Study
Abstract: To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal-striatal-thalamic-cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes.
Source: Frontiers in Psychiatry
Institutions: Central South University, Second Xiangya Hospital of Central South University, Xiangya Hospital Central South University, Hartford Hospital, Beth Israel Deaconess Medical Center, Harvard University, The University of Texas Southwestern Medical Center, University of Georgia, Johns Hopkins University, Mind Research Network, Yale University, West China Hospital of Sichuan University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: Unified multivariate data-driven solutions for static and dynamic brain connectivity, G208937423, G4818749332, G4863277230, Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &, G568434048, Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP), G595497569, G6528626969
OpenAlex ID: W2246561835
