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Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis
INTRODUCTION: There is a growing consensus on brain networks that it is not immutable but rather a dynamic complex system for adapting environment. The neuroimaging research studying how brain regions work collaboratively with dynamic methods had demonstrated its effectiveness in revealing the neura...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564955/ http://dx.doi.org/10.1192/j.eurpsy.2022.321 |
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author | You, W. Luo, L. Li, Q. Wang, Y. Wang, Y. Gong, Q. Li, F. |
author_facet | You, W. Luo, L. Li, Q. Wang, Y. Wang, Y. Gong, Q. Li, F. |
author_sort | You, W. |
collection | PubMed |
description | INTRODUCTION: There is a growing consensus on brain networks that it is not immutable but rather a dynamic complex system for adapting environment. The neuroimaging research studying how brain regions work collaboratively with dynamic methods had demonstrated its effectiveness in revealing the neural mechanisms of schizophrenia. OBJECTIVES: To investigate altered dynamic brain functional topology in first-episode untreated schizophrenia patients (SZs) and establish classification models to find objective brain imaging biomarkers. METHODS: Resting-state-functional magnetic resonance data for SZs and matched healthy controls were obtained(Table1). Power-264-template was used to extract nodes and sliding-window approach was carried out to establish functional connectivity matrices. Functional topology was assessed by eigenvector centrality(EC) and node efficiency and its time-fluctuating was evaluated with coefficient of variation(CV). Group differences of dynamic topology and correlation analysis between Positive and Negative Syndrome Scale(PANSS) scores and topology indices showing group differences, which also were used in establishing classification models, was examed. RESULTS: The CV of node efficiency in angular and paracingulate gyrus was larger in SZs. There are 13 nodes assigned into several brain networks displaying altered CV of EC between groups(Figure1.A). Fluctuation of EC of the node in DMN, which was lower in SZs, showed negative correlation with PANSS total scores(Figure1.B). Dynamic functional topology of above nodes was used to train classification models and demonstrated 80% and 71% accuracy for support vector classification(SVC) and random forest(RF), respectively(Figure2). CONCLUSIONS: Dynamic functional topology illustrated a capability in identifying SZs. Aberrated dynamics of DMN relevant to severity of patient’s symptoms could reveal the reason why it contributed to classification. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9564955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95649552022-10-17 Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis You, W. Luo, L. Li, Q. Wang, Y. Wang, Y. Gong, Q. Li, F. Eur Psychiatry Abstract INTRODUCTION: There is a growing consensus on brain networks that it is not immutable but rather a dynamic complex system for adapting environment. The neuroimaging research studying how brain regions work collaboratively with dynamic methods had demonstrated its effectiveness in revealing the neural mechanisms of schizophrenia. OBJECTIVES: To investigate altered dynamic brain functional topology in first-episode untreated schizophrenia patients (SZs) and establish classification models to find objective brain imaging biomarkers. METHODS: Resting-state-functional magnetic resonance data for SZs and matched healthy controls were obtained(Table1). Power-264-template was used to extract nodes and sliding-window approach was carried out to establish functional connectivity matrices. Functional topology was assessed by eigenvector centrality(EC) and node efficiency and its time-fluctuating was evaluated with coefficient of variation(CV). Group differences of dynamic topology and correlation analysis between Positive and Negative Syndrome Scale(PANSS) scores and topology indices showing group differences, which also were used in establishing classification models, was examed. RESULTS: The CV of node efficiency in angular and paracingulate gyrus was larger in SZs. There are 13 nodes assigned into several brain networks displaying altered CV of EC between groups(Figure1.A). Fluctuation of EC of the node in DMN, which was lower in SZs, showed negative correlation with PANSS total scores(Figure1.B). Dynamic functional topology of above nodes was used to train classification models and demonstrated 80% and 71% accuracy for support vector classification(SVC) and random forest(RF), respectively(Figure2). CONCLUSIONS: Dynamic functional topology illustrated a capability in identifying SZs. Aberrated dynamics of DMN relevant to severity of patient’s symptoms could reveal the reason why it contributed to classification. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9564955/ http://dx.doi.org/10.1192/j.eurpsy.2022.321 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract You, W. Luo, L. Li, Q. Wang, Y. Wang, Y. Gong, Q. Li, F. Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title | Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title_full | Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title_fullStr | Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title_full_unstemmed | Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title_short | Altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
title_sort | altered dynamic functional topology in first-episode untreated patients with schizophrenia can aid in early diagnosis |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564955/ http://dx.doi.org/10.1192/j.eurpsy.2022.321 |
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