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Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study
BACKGROUND: Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057470/ https://www.ncbi.nlm.nih.gov/pubmed/33267917 http://dx.doi.org/10.1192/j.eurpsy.2020.106 |
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author | Tu, Pei-Chi Chen, Mu-Hong Chang, Wan-Chen Kao, Zih-Kai Hsu, Ju-Wei Lin, Wei-Chen Li, Cheng-Ta Su, Tung-Ping Bai, Ya-Mei |
author_facet | Tu, Pei-Chi Chen, Mu-Hong Chang, Wan-Chen Kao, Zih-Kai Hsu, Ju-Wei Lin, Wei-Chen Li, Cheng-Ta Su, Tung-Ping Bai, Ya-Mei |
author_sort | Tu, Pei-Chi |
collection | PubMed |
description | BACKGROUND: Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR). METHODS: This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4,330 × 4,330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant and then performed MDMR to identify structures where the overall multivariate pattern of FC was significantly different between each patient group and the HC group. A conjunction analysis was performed to identify common neural regions with FC abnormalities across these four psychiatric disorders. RESULTS: The conjunction of the MDMR maps revealed that the four groups of patients shared connectomic abnormalities in distributed cortical and subcortical structures, which included bilateral thalamus, cerebellum, frontal pole, supramarginal gyrus, postcentral gyrus, lingual gyrus, lateral occipital cortex, and parahippocampus. The follow-up analysis based on pair-wise FC of these regions demonstrated that these psychiatric disorders also shared similar patterns of FC abnormalities characterized by sensory/subcortical hyperconnectivity, association/subcortical hypoconnectivity, and sensory/association hyperconnectivity. CONCLUSIONS: These findings suggest that major psychiatric disorders share common connectomic abnormalities in distributed cortical and subcortical regions and provide crucial support for the common network hypothesis of major psychiatric disorders. |
format | Online Article Text |
id | pubmed-8057470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80574702021-05-04 Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study Tu, Pei-Chi Chen, Mu-Hong Chang, Wan-Chen Kao, Zih-Kai Hsu, Ju-Wei Lin, Wei-Chen Li, Cheng-Ta Su, Tung-Ping Bai, Ya-Mei Eur Psychiatry Research Article BACKGROUND: Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR). METHODS: This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4,330 × 4,330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant and then performed MDMR to identify structures where the overall multivariate pattern of FC was significantly different between each patient group and the HC group. A conjunction analysis was performed to identify common neural regions with FC abnormalities across these four psychiatric disorders. RESULTS: The conjunction of the MDMR maps revealed that the four groups of patients shared connectomic abnormalities in distributed cortical and subcortical structures, which included bilateral thalamus, cerebellum, frontal pole, supramarginal gyrus, postcentral gyrus, lingual gyrus, lateral occipital cortex, and parahippocampus. The follow-up analysis based on pair-wise FC of these regions demonstrated that these psychiatric disorders also shared similar patterns of FC abnormalities characterized by sensory/subcortical hyperconnectivity, association/subcortical hypoconnectivity, and sensory/association hyperconnectivity. CONCLUSIONS: These findings suggest that major psychiatric disorders share common connectomic abnormalities in distributed cortical and subcortical regions and provide crucial support for the common network hypothesis of major psychiatric disorders. Cambridge University Press 2020-12-03 /pmc/articles/PMC8057470/ /pubmed/33267917 http://dx.doi.org/10.1192/j.eurpsy.2020.106 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use. |
spellingShingle | Research Article Tu, Pei-Chi Chen, Mu-Hong Chang, Wan-Chen Kao, Zih-Kai Hsu, Ju-Wei Lin, Wei-Chen Li, Cheng-Ta Su, Tung-Ping Bai, Ya-Mei Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title | Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title_full | Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title_fullStr | Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title_full_unstemmed | Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title_short | Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study |
title_sort | identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: a connectome-wide association study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057470/ https://www.ncbi.nlm.nih.gov/pubmed/33267917 http://dx.doi.org/10.1192/j.eurpsy.2020.106 |
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