Variational dimensions of cingulate cortex functional connectivity and implications in neuropsychiatric disorders.

Autor:	Lam YS; School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR., Li J; School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR., Ke Y; School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR., Yung WH; School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
Jazyk:	angličtina
Zdroj:	Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2022 Dec 08; Vol. 32 (24), pp. 5682-5697.
DOI:	10.1093/cercor/bhac045
Abstrakt:	Significant variations in brain functional connectivity exist in the healthy population, rendering the identification and characterization of their abnormalities in neuropsychiatric disorders difficult. Here, we proposed a new principal component analysis (PCA) approach to study variations in functional connectivity, focusing on major hubs of the salience network and default mode network, namely the anterior and posterior cingulate cortices. We analyzed the intersubject variability of human functional magnetic resonance imaging connectivity obtained from healthy, autistic, and schizophrenic subjects. Utilizing data from 1000 Functional Connectomes Project, COBRE, and ABIDE 1 database, we characterized the normal variations of the cingulate cortices with respect to top PCA dimensions. We showed that functional connectivity variations of the 2 cingulate cortices are constrained, in a parallel manner, by competing or cooperating interactions with different sensorimotor, associative, and limbic networks. In schizophrenic and autistic subjects, diffuse and subtle network changes along the same dimensions were found, which suggest significant behavioral implications of the variational dimensions. Furthermore, we showed that individual dynamic functional connectivity tends to fluctuate along the principal components of connectivity variations across individuals. Our results demonstrate the strength of this new approach in addressing the intrinsic variations of network connectivity in human brain and identifying their subtle changes in neuropsychiatric disorders. (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)
Databáze:	MEDLINE
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