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Article contents
Adaptive-to-maladaptive gradient of emotion regulation tendencies are embedded in the functional–structural hybrid connectome
Published online by Cambridge University Press: 27 March 2024
Abstract
Background
Emotion regulation tendencies are well-known transdiagnostic markers of psychopathology, but their neurobiological foundations have mostly been examined within the theoretical framework of cortical–subcortical interactions.
Methods
We explored the connectome-wide neural correlates of emotion regulation tendencies using functional and diffusion magnetic resonance images of healthy young adults (N = 99; age 20–30; 28 females). We first tested the importance of considering both the functional and structural connectome through intersubject representational similarity analyses. Then, we employed a canonical correlation analysis between the functional–structural hybrid connectome and 23 emotion regulation strategies. Lastly, we sought to externally validate the results on a transdiagnostic adolescent sample (N = 93; age 11–19; 34 females).
Results
First, interindividual similarity of emotion regulation profiles was significantly correlated with interindividual similarity of the functional–structural hybrid connectome, more so than either the functional or structural connectome. Canonical correlation analysis revealed that an adaptive-to-maladaptive gradient of emotion regulation tendencies mapped onto a specific configuration of covariance within the functional–structural hybrid connectome, which primarily involved functional connections in the motor network and the visual networks as well as structural connections in the default mode network and the subcortical–cerebellar network. In the transdiagnostic adolescent dataset, stronger functional signatures of the found network were associated with higher general positive affect through more frequent use of adaptive coping strategies.
Conclusions
Taken together, our study illustrates a gradient of emotion regulation tendencies that is best captured when simultaneously considering the functional and structural connections across the whole brain.
Keywords
- Type
- Original Article
- Information
- Copyright
- Copyright © The Author(s), 2024. Published by Cambridge University Press
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Kim and Kim supplementary material
Kim and Kim supplementary material
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