Article: Conceptualizing psychological resilience through resting-state functional MRI in a mentally healthy population: a systematic review.
Frontiers in behavioral neuroscience
2023 Volume 17, Page(s) 1175064
Abstract: Conceptualizations and operational definitions of psychological resilience vary across resilience neuroimaging studies. Data on the neural features of resilience among healthy individuals has been scarce. Furthermore, findings from resting-state ... ...
Abstract | Conceptualizations and operational definitions of psychological resilience vary across resilience neuroimaging studies. Data on the neural features of resilience among healthy individuals has been scarce. Furthermore, findings from resting-state functional magnetic resonance imaging (fMRI) studies were inconsistent across studies. This systematic review summarized resting-state fMRI findings in different modalities from various operationally defined resilience in a mentally healthy population. The PubMed and MEDLINE databases were searched. Articles that focused on resting-state fMRI in relation to resilience, and published before 2022, were targeted. Orbitofrontal cortex, anterior cingulate cortex, insula and amygdala, were reported the most from the 19 included studies. Regions in emotional network was reported the most from the included studies. The involvement of regions like amygdala and orbitofrontal cortex indicated the relationships between emotional processing and resilience. No common brain regions or neural pathways were identified across studies. The emotional network appears to be studied the most in association with resilience. Matching fMRI modalities and operational definitions of resilience across studies are essential for meta-analysis. |
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Language | English |
Publishing date | 2023-07-19 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2452960-6 |
ISSN | 1662-5153 |
ISSN | 1662-5153 |
DOI | 10.3389/fnbeh.2023.1175064 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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