Probing the association between resting-state brain network dynamics and psychological resilience

  • Abstract This study aimed at replicating a previously reported negative correlation between node flexibility and psychological resilience, that is, the ability to retain mental health in the face of stress and adversity. To this end, we used multiband resting-state BOLD fMRI (TR = .675 sec) from 52 participants who had filled out three psychological questionnaires assessing resilience. Time-resolved functional connectivity was calculated by performing a sliding window approach on averaged time series parcellated according to different established atlases. Multilayer modularity detection was performed to track network reconfigurations over time, and node flexibility was calculated as the number of times a node changes community assignment. In addition, node promiscuity (the fraction of communities a node participates in) and node degree (as proxy for time-varying connectivity) were calculated to extend previous work. We found no substantial correlations between resilience and node flexibility. We observed a small number of correlations between the two other brain measures and resilience scores that were, however, very inconsistently distributed across brain measures, differences in temporal sampling, and parcellation schemes. This heterogeneity calls into question the existence of previously postulated associations between resilience and brain network flexibility and highlights how results may be influenced by specific analysis choices. Author Summary We tested the replicability and generalizability of a previously proposed negative association between dynamic brain network reconfigurations derived from multilayer modularity detection (node flexibility) and psychological resilience. Using multiband resting-state BOLD fMRI data and exploring several parcellation schemes, sliding window approaches, and temporal resolutions of the data, we could not replicate previously reported findings regarding the association between node flexibility and resilience. By extending this work to other measures of brain dynamics (node promiscuity, degree) we observe a rather inconsistent pattern of correlations with resilience that strongly varies across analysis choices. We conclude that further research is needed to understand the network neuroscience basis of mental health and discuss several reasons that may account for the variability in results.

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Metadaten
Author:Dominik KraftORCiDGND, Christian FiebachORCiDGND
URN:urn:nbn:de:hebis:30:3-496885
DOI:https://doi.org/10.1162/netn_a_00216
ISSN:2472-1751
Parent Title (English):Network Neuroscience
Document Type:Article
Language:English
Date of Publication (online):2022/03/16
Date of first Publication:2022/03/16
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2023/04/18
Volume:6
Issue:1
Page Number:21
First Page:175
Last Page:195
HeBIS-PPN:508948258
Institutes:Psychologie und Sportwissenschaften / Psychologie
Angeschlossene und kooperierende Institutionen / MPI f├╝r Hirnforschung
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Sammlungen:Universit├Ątspublikationen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International