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Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia
It is widely accepted that there are some common network patterns in the human brain. However, the existence of stable and strong functional connections in the human brain and whether they change in schizophrenia is still a question. By setting 1% connections with the smallest coefficient of variati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636375/ https://www.ncbi.nlm.nih.gov/pubmed/36333328 http://dx.doi.org/10.1038/s41537-022-00305-0 |
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author | Yuan, Liu Ma, Xiaoqian Li, David Ouyang, Lijun Fan, Lejia Li, Chunwang He, Ying Chen, Xiaogang |
author_facet | Yuan, Liu Ma, Xiaoqian Li, David Ouyang, Lijun Fan, Lejia Li, Chunwang He, Ying Chen, Xiaogang |
author_sort | Yuan, Liu |
collection | PubMed |
description | It is widely accepted that there are some common network patterns in the human brain. However, the existence of stable and strong functional connections in the human brain and whether they change in schizophrenia is still a question. By setting 1% connections with the smallest coefficient of variation, we found a widespread brain functional network (frame network) in healthy people(n = 380, two datasets from public databases). We then explored the alterations in a medicated group (60 subjects with schizophrenia vs 71 matched controls) and a drug-naive first-episode group (68 subjects with schizophrenia vs 45 matched controls). A linear support vector classifier (SVC) was constructed to distinguish patients and controls using the medicated patients’ frame network. We found most frame connections of healthy people had high strength, which were symmetrical and connected the left and right hemispheres. Conversely, significant differences in frame connections were observed in both patient groups, which were positively correlated with negative symptoms (mainly language dysfunction). Additionally, patients’ frame network were more left-lateralized, concentrating on the left frontal lobe, and was quite accurate at distinguishing medicated patients from controls (classifier accuracy was 78.63%, sensitivity was 86.67%, specificity was 76.06%, and the area under the curve (AUC) was 0.83). Furthermore, the results were repeated in the drug-naive set (accuracy was 84.96%, sensitivity was 85.29%, specificity was 88.89%, and AUC was 0.93). These findings indicate that the abnormal pattern of frame network in subjects with schizophrenia might provide new insights into the dysconnectivity in schizophrenia. |
format | Online Article Text |
id | pubmed-9636375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96363752022-11-06 Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia Yuan, Liu Ma, Xiaoqian Li, David Ouyang, Lijun Fan, Lejia Li, Chunwang He, Ying Chen, Xiaogang Schizophrenia (Heidelb) Article It is widely accepted that there are some common network patterns in the human brain. However, the existence of stable and strong functional connections in the human brain and whether they change in schizophrenia is still a question. By setting 1% connections with the smallest coefficient of variation, we found a widespread brain functional network (frame network) in healthy people(n = 380, two datasets from public databases). We then explored the alterations in a medicated group (60 subjects with schizophrenia vs 71 matched controls) and a drug-naive first-episode group (68 subjects with schizophrenia vs 45 matched controls). A linear support vector classifier (SVC) was constructed to distinguish patients and controls using the medicated patients’ frame network. We found most frame connections of healthy people had high strength, which were symmetrical and connected the left and right hemispheres. Conversely, significant differences in frame connections were observed in both patient groups, which were positively correlated with negative symptoms (mainly language dysfunction). Additionally, patients’ frame network were more left-lateralized, concentrating on the left frontal lobe, and was quite accurate at distinguishing medicated patients from controls (classifier accuracy was 78.63%, sensitivity was 86.67%, specificity was 76.06%, and the area under the curve (AUC) was 0.83). Furthermore, the results were repeated in the drug-naive set (accuracy was 84.96%, sensitivity was 85.29%, specificity was 88.89%, and AUC was 0.93). These findings indicate that the abnormal pattern of frame network in subjects with schizophrenia might provide new insights into the dysconnectivity in schizophrenia. Nature Publishing Group UK 2022-11-04 /pmc/articles/PMC9636375/ /pubmed/36333328 http://dx.doi.org/10.1038/s41537-022-00305-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yuan, Liu Ma, Xiaoqian Li, David Ouyang, Lijun Fan, Lejia Li, Chunwang He, Ying Chen, Xiaogang Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title | Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title_full | Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title_fullStr | Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title_full_unstemmed | Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title_short | Alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
title_sort | alteration of a brain network with stable and strong functional connections in subjects with schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636375/ https://www.ncbi.nlm.nih.gov/pubmed/36333328 http://dx.doi.org/10.1038/s41537-022-00305-0 |
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