ArticlePloS one2022
Contributions of human amygdala nuclei to resting-state networks.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mapping Depression Correlated Amygdala Communication.Brain topography · 2026Article
- Selective convergence and graded divergence of hippocampal and amygdala subregions using functional connectivity.bioRxiv : the preprint server for biology · 2026Article
- Functional Segregation of Epileptogenicity within the Human Amygdala.Annals of neurology · 2026Article
- Amygdala clustering coefficients modulate the effect of neuroticism on the sensation of boredom.Brain structure & function · 2026Article
- A role for circuitry of the cortical amygdala in excessive alcohol drinking, withdrawal, and alcohol use disorder.Alcohol (Fayetteville, N.Y.) · 2024Review
- The human social cognitive network contains multiple regions within the amygdala.Science advances · 2024Article
- The subcortical default mode network and Alzheimer's disease: a systematic review and meta-analysis.Brain communications · 2024Article
- Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques.Current research in neurobiology · 2023Review
- Subregional Amygdala Functional Connectivity at 3T: Comparison of High-Resolution 2D and 3D fMRI Acquisitions.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The amygdala is a brain region with a complex internal structure that is associated with psychiatric disease. Methodological limitations have complicated the study of the internal structure of the amygdala in humans. In the current study we examined the functional connectivity between nine amygdaloid nuclei and existing resting-state networks using a high spatial-resolution fMRI dataset. Using data-driven analysis techniques we found that there were three main clusters inside the amygdala that correlated with the somatomotor, ventral attention and default mode networks. In addition, we found that each resting-state networks depended on a specific configuration of amygdaloid nuclei. Finally, we found that co-activity in the cortical-nucleus increased with the severity of self-rated fear in participants. These results highlight the complex nature of amygdaloid connectivity that is not confined to traditional large-scale divisions, implicates specific configurations of nuclei with certain resting-state networks and highlights the potential clinical relevance of the cortical-nucleus in future studies of the human amygdala.
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