ArticleNeuroImage2017
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 310 papers, 2 of them syntheses that pooled it.
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Who cites it
310 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Shared and specific associations of amygdala nuclei volumes with PTSD symptom domains and childhood trauma: An ENIGMA-PGC PTSD mega-analysis.Molecular psychiatry · 2026Pooled it
- The solitary nucleus connectivity to key autonomic regions in humans.The European journal of neuroscience · 2022Pooled it
- Longitudinal effects of physical activity on sleep in association with hippocampal-amygdala subfield structure and functional connectivity in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Trial
- Neurostructural Differences in Adolescents With Treatment-Resistant Depression and Treatment Effects of Transcranial Magnetic Stimulation.The international journal of neuropsychopharmacology · 2022Trial
- Normative Modeling of Amygdala Subfields and Disease-Specific Vulnerabilities Across Neurological Disorders.Neuroscience bulletin · 2026Article
- An auditory "low road" for threat processing in humans sensitive to fast temporal cues.iScience · 2026Article
- Weakening of Subcortical and Strengthening of Cortical Visual Pathways Across Early Adolescence.Human brain mapping · 2026Article
- Review
- Rostral associations of MRI atrophy of the amygdala and entorhinal cortex across the AD spectrum.Neuroimage. Reports · 2026Article
- Cognitive and Biomarker Signatures of Late-Onset Temporal Lobe Epilepsy: Toward Non-Alzheimer Neurodegenerative Mechanisms.Neurology · 2026Article
- Sexually Dimorphic Developmental Trajectories of Cortical and Subcortical Subfields in Early Childhood.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026Article
- Review
- Selective convergence and graded divergence of hippocampal and amygdala subregions using functional connectivity.bioRxiv : the preprint server for biology · 2026Article
- Sex-stratified insights into the genetics of brain volumes in late adulthood.Biology of sex differences · 2026Article
- Association between amygdala subregions and non-motor symptoms in Parkinson's disease: a fixel-based analysis.Brain imaging and behavior · 2026Article
- A nuclei-specific fronto-amygdala pathway and its neurotransmitter receptor distribution: Implications for Antidepressant Selection.Molecular psychiatry · 2026Article
- Functional and structural connectivity of thalamic subnuclei in major depressive disorder at 7 Tesla.Psychiatry and clinical neurosciences · 2026Article
- Seven tesla MRI reveals amygdala and hippocampal subfield atrophy in dementia with Lewy bodies.Alzheimer's research & therapy · 2026Article
- No link between piriform cortex subregion resection and seizure freedom in two cohorts with temporal lobe epilepsy.Journal of neurology · 2026Article
- Article
250 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
Funding
Abstract
The amygdala is composed of multiple nuclei with unique functions and connections in the limbic system and to the rest of the brain. However, standard in vivo neuroimaging tools to automatically delineate the amygdala into its multiple nuclei are still rare. By scanning postmortem specimens at high resolution (100-150µm) at 7T field strength (n = 10), we were able to visualize and label nine amygdala nuclei (anterior amygdaloid, cortico-amygdaloid transition area; basal, lateral, accessory basal, central, cortical medial, paralaminar nuclei). We created an atlas from these labels using a recently developed atlas building algorithm based on Bayesian inference. This atlas, which will be released as part of FreeSurfer, can be used to automatically segment nine amygdala nuclei from a standard resolution structural MR image. We applied this atlas to two publicly available datasets (ADNI and ABIDE) with standard resolution T1 data, used individual volumetric data of the amygdala nuclei as the measure and found that our atlas i) discriminates between Alzheimer's disease participants and age-matched control participants with 84% accuracy (AUC=0.915), and ii) discriminates between individuals with autism and age-, sex- and IQ-matched neurotypically developed control participants with 59.5% accuracy (AUC=0.59). For both datasets, the new ex vivo atlas significantly outperformed (all p < .05) estimations of the whole amygdala derived from the segmentation in FreeSurfer 5.1 (ADNI: 75%, ABIDE: 54% accuracy), as well as classification based on whole amygdala volume (using the sum of all amygdala nuclei volumes; ADNI: 81%, ABIDE: 55% accuracy). This new atlas and the segmentation tools that utilize it will provide neuroimaging researchers with the ability to explore the function and connectivity of the human amygdala nuclei with unprecedented detail in healthy adults as well as those with neurodevelopmental and neurodegenerative disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.