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Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic

BACKGROUND: Social anxiety (SA) is a negative emotional response that can lead to mental health issues, which some have experienced during the coronavirus disease 2019 (COVID-19) pandemic. Little attention has been given to the neurobiological mechanisms underlying inter-individual differences in SA...

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Autores principales: Li, Qingyuan, Zhang, Xun, Yang, Xun, Pan, Nanfang, Li, Xiao, Kemp, Graham J., Wang, Song, Gong, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570707/
https://www.ncbi.nlm.nih.gov/pubmed/37842018
http://dx.doi.org/10.1016/j.ynstr.2023.100578
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author Li, Qingyuan
Zhang, Xun
Yang, Xun
Pan, Nanfang
Li, Xiao
Kemp, Graham J.
Wang, Song
Gong, Qiyong
author_facet Li, Qingyuan
Zhang, Xun
Yang, Xun
Pan, Nanfang
Li, Xiao
Kemp, Graham J.
Wang, Song
Gong, Qiyong
author_sort Li, Qingyuan
collection PubMed
description BACKGROUND: Social anxiety (SA) is a negative emotional response that can lead to mental health issues, which some have experienced during the coronavirus disease 2019 (COVID-19) pandemic. Little attention has been given to the neurobiological mechanisms underlying inter-individual differences in SA alterations related to COVID-19. This study aims to identify neurofunctional markers of COVID-specific SA development. METHODS: 110 healthy participants underwent resting-state magnetic resonance imaging and behavioral tests before the pandemic (T1, October 2019 to January 2020) and completed follow-up behavioral measurements during the pandemic (T2, February to May 2020). We constructed individual functional networks and used graph theoretical analysis to estimate their global and nodal topological properties, then used Pearson correlation and partial least squares correlations examine their associations with COVID-specific SA alterations. RESULTS: In terms of global network parameters, SA alterations (T2-T1) were negatively related to pre-pandemic brain small-worldness and normalized clustering coefficient. In terms of nodal network parameters, SA alterations were positively linked to a pronounced degree centrality pattern, encompassing both the high-level cognitive networks (dorsal attention network, cingulo-opercular task control network, default mode network, memory retrieval network, fronto-parietal task control network, and subcortical network) and low-level perceptual networks (sensory/somatomotor network, auditory network, and visual network). These findings were robust after controlling for pre-pandemic general anxiety, other stressful life events, and family socioeconomic status, as well as by treating SA alterations as categorical variables. CONCLUSIONS: The individual functional network associated with SA alterations showed a disrupted topological organization with a more random state, which may shed light on the neurobiological basis of COVID-related SA changes at the network level.
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spelling pubmed-105707072023-10-14 Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic Li, Qingyuan Zhang, Xun Yang, Xun Pan, Nanfang Li, Xiao Kemp, Graham J. Wang, Song Gong, Qiyong Neurobiol Stress Original Research Article BACKGROUND: Social anxiety (SA) is a negative emotional response that can lead to mental health issues, which some have experienced during the coronavirus disease 2019 (COVID-19) pandemic. Little attention has been given to the neurobiological mechanisms underlying inter-individual differences in SA alterations related to COVID-19. This study aims to identify neurofunctional markers of COVID-specific SA development. METHODS: 110 healthy participants underwent resting-state magnetic resonance imaging and behavioral tests before the pandemic (T1, October 2019 to January 2020) and completed follow-up behavioral measurements during the pandemic (T2, February to May 2020). We constructed individual functional networks and used graph theoretical analysis to estimate their global and nodal topological properties, then used Pearson correlation and partial least squares correlations examine their associations with COVID-specific SA alterations. RESULTS: In terms of global network parameters, SA alterations (T2-T1) were negatively related to pre-pandemic brain small-worldness and normalized clustering coefficient. In terms of nodal network parameters, SA alterations were positively linked to a pronounced degree centrality pattern, encompassing both the high-level cognitive networks (dorsal attention network, cingulo-opercular task control network, default mode network, memory retrieval network, fronto-parietal task control network, and subcortical network) and low-level perceptual networks (sensory/somatomotor network, auditory network, and visual network). These findings were robust after controlling for pre-pandemic general anxiety, other stressful life events, and family socioeconomic status, as well as by treating SA alterations as categorical variables. CONCLUSIONS: The individual functional network associated with SA alterations showed a disrupted topological organization with a more random state, which may shed light on the neurobiological basis of COVID-related SA changes at the network level. Elsevier 2023-10-01 /pmc/articles/PMC10570707/ /pubmed/37842018 http://dx.doi.org/10.1016/j.ynstr.2023.100578 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Li, Qingyuan
Zhang, Xun
Yang, Xun
Pan, Nanfang
Li, Xiao
Kemp, Graham J.
Wang, Song
Gong, Qiyong
Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title_full Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title_fullStr Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title_full_unstemmed Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title_short Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
title_sort pre-covid brain network topology prospectively predicts social anxiety alterations during the covid-19 pandemic
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570707/
https://www.ncbi.nlm.nih.gov/pubmed/37842018
http://dx.doi.org/10.1016/j.ynstr.2023.100578
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