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Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives

We utilized dynamic functional network connectivity (dFNC) analysis to compare participants with obsessive–compulsive disorder (OCD) with their unaffected first‐degree relative (UFDR) and healthy controls (HC). Resting state fMRI was performed on 46 OCD, 24 UFDR, and 49 HCs, along with clinical asse...

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Autores principales: Peng, Ziwen, Guo, Ya, Wu, Xiangshu, Yang, Qiong, Wei, Zhen, Seger, Carol A., Chen, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356985/
https://www.ncbi.nlm.nih.gov/pubmed/34089285
http://dx.doi.org/10.1002/hbm.25555
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author Peng, Ziwen
Guo, Ya
Wu, Xiangshu
Yang, Qiong
Wei, Zhen
Seger, Carol A.
Chen, Qi
author_facet Peng, Ziwen
Guo, Ya
Wu, Xiangshu
Yang, Qiong
Wei, Zhen
Seger, Carol A.
Chen, Qi
author_sort Peng, Ziwen
collection PubMed
description We utilized dynamic functional network connectivity (dFNC) analysis to compare participants with obsessive–compulsive disorder (OCD) with their unaffected first‐degree relative (UFDR) and healthy controls (HC). Resting state fMRI was performed on 46 OCD, 24 UFDR, and 49 HCs, along with clinical assessments. dFNC analyses revealed two distinct connectivity states: a less frequent, integrated state characterized by the predominance of between‐network connections (State I), and a more frequent, segregated state with strong within‐network connections (State II). OCD patients spent more time in State II and less time in State I than HC, as measured by fractional windows and mean dwell time. Time in each state for the UFDR were intermediate between OCD patients and HC. Within the OCD group, fractional windows of time spent in State I was positively correlated with OCD symptoms (as measured by the obsessive compulsive inventory‐revised [OCI‐R], r = .343, p<.05, FDR correction) and time in State II was negatively correlated with symptoms (r = −.343, p<.05, FDR correction). Within each state we also examined connectivity within and between established intrinsic connectivity networks, and found that UFDR were similar to the OCD group in State I, but more similar to the HC groups in State II. The similarities between OCD and UFDR groups in temporal properties and State I connectivity indicate that these features may reflect the endophenotype for OCD. These results indicate that the temporal dynamics of functional connectivity could be a useful biomarker to identify those at risk.
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spelling pubmed-83569852021-08-15 Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives Peng, Ziwen Guo, Ya Wu, Xiangshu Yang, Qiong Wei, Zhen Seger, Carol A. Chen, Qi Hum Brain Mapp Research Articles We utilized dynamic functional network connectivity (dFNC) analysis to compare participants with obsessive–compulsive disorder (OCD) with their unaffected first‐degree relative (UFDR) and healthy controls (HC). Resting state fMRI was performed on 46 OCD, 24 UFDR, and 49 HCs, along with clinical assessments. dFNC analyses revealed two distinct connectivity states: a less frequent, integrated state characterized by the predominance of between‐network connections (State I), and a more frequent, segregated state with strong within‐network connections (State II). OCD patients spent more time in State II and less time in State I than HC, as measured by fractional windows and mean dwell time. Time in each state for the UFDR were intermediate between OCD patients and HC. Within the OCD group, fractional windows of time spent in State I was positively correlated with OCD symptoms (as measured by the obsessive compulsive inventory‐revised [OCI‐R], r = .343, p<.05, FDR correction) and time in State II was negatively correlated with symptoms (r = −.343, p<.05, FDR correction). Within each state we also examined connectivity within and between established intrinsic connectivity networks, and found that UFDR were similar to the OCD group in State I, but more similar to the HC groups in State II. The similarities between OCD and UFDR groups in temporal properties and State I connectivity indicate that these features may reflect the endophenotype for OCD. These results indicate that the temporal dynamics of functional connectivity could be a useful biomarker to identify those at risk. John Wiley & Sons, Inc. 2021-06-05 /pmc/articles/PMC8356985/ /pubmed/34089285 http://dx.doi.org/10.1002/hbm.25555 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Peng, Ziwen
Guo, Ya
Wu, Xiangshu
Yang, Qiong
Wei, Zhen
Seger, Carol A.
Chen, Qi
Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title_full Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title_fullStr Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title_full_unstemmed Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title_short Abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
title_sort abnormal brain functional network dynamics in obsessive–compulsive disorder patients and their unaffected first‐degree relatives
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356985/
https://www.ncbi.nlm.nih.gov/pubmed/34089285
http://dx.doi.org/10.1002/hbm.25555
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