Structural brain networks in schizophrenia based on nonnegative matrix factorization.

Autor: Dai R; Department of Psychology, Shanghai Normal University, Shanghai, China., Herold CJ; Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany., Wang X; Department of Psychology, Shanghai Normal University, Shanghai, China., Kong L; Department of Psychology, Shanghai Normal University, Shanghai, China. Electronic address: likong@shnu.edu.cn., Schröder J; Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany.
Jazyk: angličtina
Zdroj: Psychiatry research. Neuroimaging [Psychiatry Res Neuroimaging] 2023 Sep; Vol. 334, pp. 111690. Date of Electronic Publication: 2023 Jul 20.
DOI: 10.1016/j.pscychresns.2023.111690
Abstrakt: Schizophrenia is a severe mental disease with significant morphometric reductions in gray matter volume and cortical thickness in a variety of brain regions. However, most studies only focused on the voxel level alterations in specific cerebral regions and ignored the spatial relationship between voxels. In the present study, we used a novel, data-driven technique-nonnegative matrix factorization (NMF) to group voxels with similar information into a network, and studied the structural covariance at the network level in schizophrenia. Our sample included 36 patients with schizophrenia and 21 healthy controls. Compared with healthy controls, patients with schizophrenia showed significant gray matter volume reductions in six structural covariance networks (dorsal striatum, thalamus, hippocampus-parahippocampus, supplementary motor area-fusiform, middle/inferior temporal network, frontal-parietal-occipital network). Our findings confirmed the assumption of a disturbance in the cortical-subcortical circuit in schizophrenia and suggested that NMF is a useful multivariate method to identify brain networks, which provides a new perspective to study the neural mechanism in schizophrenia.
Competing Interests: Declaration of Competing Interest All authors report no financial interest or conflict of interests.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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