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

Author

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  • Shulan Hsieh

    (CASE Lab, Department of Psychology, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan
    Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan
    Department and Institute of Public Health, National Cheng Kung University, Tainan 701, Taiwan)

  • Zai-Fu Yao

    (Brain and Cognition, Department of Psychology, University of Amsterdam, 1001 NK Amsterdam, The Netherlands)

  • Meng-Heng Yang

    (CASE Lab, Department of Psychology, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan)

Abstract

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.

Suggested Citation

  • Shulan Hsieh & Zai-Fu Yao & Meng-Heng Yang, 2021. "Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength," IJERPH, MDPI, vol. 18(3), pages 1-18, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1123-:d:488128
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    References listed on IDEAS

    as
    1. Zai-Fu Yao & Shulan Hsieh, 2019. "Neurocognitive Mechanism of Human Resilience: A Conceptual Framework and Empirical Review," IJERPH, MDPI, vol. 16(24), pages 1-21, December.
    2. Roman Salmerón Gómez & José García Pérez & María Del Mar López Martín & Catalina García García, 2016. "Collinearity diagnostic applied in ridge estimation through the variance inflation factor," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1831-1849, August.
    3. Armita Golkar & Tina B Lonsdorf & Andreas Olsson & Kara M Lindstrom & Jonathan Berrebi & Peter Fransson & Martin Schalling & Martin Ingvar & Arne Öhman, 2012. "Distinct Contributions of the Dorsolateral Prefrontal and Orbitofrontal Cortex during Emotion Regulation," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
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