Why the study?
The study aimed to identify the potential relationship between the dynamical properties of the human functional brain network at rest and psychological resilience.
Does psychological resilience correlate with EEG source-space brain network flexibility in healthy subjects?
Does psychological resilience correlate with EEG source-space brain network flexibility in healthy subjects?
Psychological resilience is negatively correlated with EEG source-space brain network flexibility in specific frequency bands, suggesting dynamic functional networks reflect personality traits.
Higher resilience linked to lower EEG network flexibility; hypothesis-generating for dynamic network interventions in stress-related disorders.
We aimed at identifying the potential relationship between the dynamical properties of the human functional network at rest and one of the most prominent traits of personality, namely resilience. To tackle this issue, we used resting-state EEG data recorded from 45 healthy subjects. Resilience was quantified using the 10-item Connor-Davidson Resilience Scale (CD-RISC). By using a sliding windows approach, brain networks in each EEG frequency band (delta, theta, alpha, and beta) were constructed using the EEG source-space connectivity method. Brain networks dynamics were evaluated using the network flexibility, linked with the tendency of a given node to change its modular affiliation over time. The results revealed a negative correlation between the psychological resilience and the brain network flexibility for a limited number of brain regions within the delta, alpha, and beta bands. This study provides evidence that network flexibility, a metric of dynamic functional networks, is strongly correlated with psychological resilience as assessed from personality testing. Beyond this proof-of-principle that reliable EEG-based quantities representative of personality traits can be identified, this motivates further investigation regarding the full spectrum of personality aspects and their relationship with functional networks.
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Paban et al. (2019) studied this question.
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