Author
Listed:
- Miriam C. Klein-Flügge
(University of Oxford
University of Oxford
University of Oxford)
- Daria E. A. Jensen
(University of Oxford
University of Oxford)
- Yu Takagi
(University of Oxford
University of Oxford
Osaka University)
- Luke Priestley
(University of Oxford
University of Oxford)
- Lennart Verhagen
(University of Oxford
University of Oxford
Radboud University)
- Stephen M. Smith
(University of Oxford)
- Matthew F. S. Rushworth
(University of Oxford
University of Oxford)
Abstract
There has been increasing interest in using neuroimaging measures to predict psychiatric disorders. However, predictions usually rely on large brain networks and large disorder heterogeneity. Thus, they lack both anatomical and behavioural specificity, preventing the advancement of targeted interventions. Here we address both challenges. First, using resting-state functional magnetic resonance imaging, we parcellated the amygdala, a region implicated in mood disorders, into seven nuclei. Next, a questionnaire factor analysis provided subclinical mental health dimensions frequently altered in anxious-depressive individuals, such as negative emotions and sleep problems. Finally, for each behavioural dimension, we identified the most predictive resting-state functional connectivity between individual amygdala nuclei and highly specific regions of interest, such as the dorsal raphe nucleus in the brainstem or medial frontal cortical regions. Connectivity in circumscribed amygdala networks predicted behaviours in an independent dataset. Our results reveal specific relations between mental health dimensions and connectivity in precise subcortical networks.
Suggested Citation
Miriam C. Klein-Flügge & Daria E. A. Jensen & Yu Takagi & Luke Priestley & Lennart Verhagen & Stephen M. Smith & Matthew F. S. Rushworth, 2022.
"Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans,"
Nature Human Behaviour, Nature, vol. 6(12), pages 1705-1722, December.
Handle:
RePEc:nat:nathum:v:6:y:2022:i:12:d:10.1038_s41562-022-01434-3
DOI: 10.1038/s41562-022-01434-3
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