ArticleBrain informatics2023
Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer.
Article in Brain informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 35 citations in OpenAlex.
- Shared and specific associations of amygdala nuclei volumes with PTSD symptom domains and childhood trauma: An ENIGMA-PGC PTSD mega-analysis.Molecular psychiatry · 2026Article
- Diencephalic integrity explains aspects of hippocampal amnesia.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Brain morphometry, stimulation charge, and seizure duration in electroconvulsive therapy.Molecular psychiatry · 2026Article
- Representational differentiation and integration within the hippocampal circuit during naturalistic stimuli.Communications biology · 2026Article
- Adult lifespan effects on functional specialization along the hippocampal long axis.Frontiers in cognition · 2026Article
- Real-time aggression in youth and its connection to region-specific structural brain alterations.Discover mental health · 2025Article
- Reliability assessment of accelerated MR sequences for the estimation of structural and vascular markers in dementia.Scientific reports · 2025Article
- Ultra-low-field brain MRI morphometry: Test-retest reliability and correspondence to high-field MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Delineation of the trigeminal-lateral parabrachial-central amygdala tract in humans.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Quantitative brain volumetry in neurological disorders: from disease mechanisms to software solutions.Polish journal of radiology · 2025Review
- Resting-State Functional Connectivity of the Amygdala in Autism: A Preregistered Large-Scale Study.The American journal of psychiatry · 2024Article
- Exploring the association between childhood trauma and limbic system subregion volumes in healthy individuals: a neuroimaging study.BMC psychiatry · 2024Article
- Amygdala atrophies in specific subnuclei in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Automatic Segmentation of Heschl Gyrus and Planum Temporale by MRICloud.Otology & neurotology open · 2024Article
- Longitudinal changes in brain-derived neurotrophic factor (BDNF) but not cytokines contribute to hippocampal recovery in anorexia nervosa above increases in body mass index.Psychological medicine · 2024Article
- Differential longitudinal changes of hippocampal subfields in patients with anorexia nervosa.Psychiatry and clinical neurosciences · 2024Article
- Trauma-related intrusive memories and anterior hippocampus structural covariance: an ecological momentary assessment study in posttraumatic stress disorder.Translational psychiatry · 2024Article
- Basolateral amygdala volume in affective disorders using 7T MRIFrontiers in psychiatry · 2024Article
- Atrophy patterns in hippocampal subregions and their relationship with cognitive function in fibromyalgia patients with mild cognitive impairment.Frontiers in neuroscience · 2024Article
- Differential alterations of amygdala nuclei volumes in acutely ill patients with anorexia nervosa and their associations with leptin levels.Psychological medicine · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain structures by automated algorithms is becoming the only truly tractable approach. Here, we assessed the spatial and numerical reliability for newly deployed automated segmentation of hippocampal subfields and amygdala nuclei in FreeSurfer 7. In a sample of participants with repeated structural imaging scans (N = 928), we found numerical reliability (as assessed by intraclass correlations, ICCs) was reasonable. Approximately 95% of hippocampal subfields had "excellent" numerical reliability (ICCs ≥ 0.90), while only 67% of amygdala subnuclei met this same threshold. In terms of spatial reliability, 58% of hippocampal subfields and 44% of amygdala subnuclei had Dice coefficients ≥ 0.70. Notably, multiple regions had poor numerical and/or spatial reliability. We also examined correlations between spatial reliability and person-level factors (e.g., participant age; T1 image quality). Both sex and image scan quality were related to variations in spatial reliability metrics. Examined collectively, our work suggests caution should be exercised for a few hippocampal subfields and amygdala nuclei with more variable reliability.
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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.