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Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength

Psychological resilience is regarded as a critical protective factor for preventing the development of mental illness from experienced adverse events. Personal strength is one key element of resilience that reflects an individual’s reactions to negative life events and is crucial for successful adap...

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Autores principales: Hsieh, Shulan, Yao, Zai-Fu, Yang, Meng-Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908187/
https://www.ncbi.nlm.nih.gov/pubmed/33513995
http://dx.doi.org/10.3390/ijerph18031123
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author Hsieh, Shulan
Yao, Zai-Fu
Yang, Meng-Heng
author_facet Hsieh, Shulan
Yao, Zai-Fu
Yang, Meng-Heng
author_sort Hsieh, Shulan
collection PubMed
description Psychological resilience is regarded as a critical protective factor for preventing the development of mental illness from experienced adverse events. Personal strength is one key element of resilience that reflects an individual’s reactions to negative life events and is crucial for successful adaptation. Previous studies have linked unimodal imaging measures with resilience. However, applying multimodal imaging measures could provide comprehensive organization information at the system level to examine whether an individual’s resilience strength is reflected in the brain’s structural and functional network. In this study, MRI was used to acquire multimodal imaging properties and subscales of personal strength in terms of resilience from 109 participants (48 females and 61 males). We employed a method of fusion independent component analysis to link the association between multimodal imaging components and personal strength of psychological resilience. The results reveal that a fusion component involving multimodal frontal networks in connecting with the parietal, occipital, and temporal regions is associated with the resilience score for personal strength. A multiple regression model further explains the predictive role of frontal-associated regions that cover a visual-related network regulating cognition and emotion to discern the perceived adverse experience. Overall, this study suggests that frontal-associated regions are related to individual resilience strength.
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spelling pubmed-79081872021-02-27 Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength Hsieh, Shulan Yao, Zai-Fu Yang, Meng-Heng Int J Environ Res Public Health Article Psychological resilience is regarded as a critical protective factor for preventing the development of mental illness from experienced adverse events. Personal strength is one key element of resilience that reflects an individual’s reactions to negative life events and is crucial for successful adaptation. Previous studies have linked unimodal imaging measures with resilience. However, applying multimodal imaging measures could provide comprehensive organization information at the system level to examine whether an individual’s resilience strength is reflected in the brain’s structural and functional network. In this study, MRI was used to acquire multimodal imaging properties and subscales of personal strength in terms of resilience from 109 participants (48 females and 61 males). We employed a method of fusion independent component analysis to link the association between multimodal imaging components and personal strength of psychological resilience. The results reveal that a fusion component involving multimodal frontal networks in connecting with the parietal, occipital, and temporal regions is associated with the resilience score for personal strength. A multiple regression model further explains the predictive role of frontal-associated regions that cover a visual-related network regulating cognition and emotion to discern the perceived adverse experience. Overall, this study suggests that frontal-associated regions are related to individual resilience strength. MDPI 2021-01-27 2021-02 /pmc/articles/PMC7908187/ /pubmed/33513995 http://dx.doi.org/10.3390/ijerph18031123 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hsieh, Shulan
Yao, Zai-Fu
Yang, Meng-Heng
Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title_full Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title_fullStr Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title_full_unstemmed Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title_short Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength
title_sort multimodal imaging analysis reveals frontal-associated networks in relation to individual resilience strength
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908187/
https://www.ncbi.nlm.nih.gov/pubmed/33513995
http://dx.doi.org/10.3390/ijerph18031123
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