Normative Modeling of Amygdala Subfields in Human Subjects
A study analyzed MRI data from 22,258 healthy participants to create normative references for amygdala volumes. Using this data, centile scores were calculated for 4,132 patients with various neurological disorders. The findings showed correlations between these scores and clinical measures of cognitive function, emotional state, and motor performance.
- Most relevant to
- —
- Human efficacy
- Not yet assessed
- Mechanism
- Not yet assessed
- Evidence strength
- Not yet assessed
- Outcome
- Not yet assessed
Why it matters
This study provides valuable normative data that can help identify deviations in brain structure associated with diseases like multiple sclerosis and others, potentially aiding in diagnosis and assessment.
What this does not prove
The study offers normative data but does not demonstrate direct causation between the observed brain volumes and clinical outcomes.
Next milestone
No next milestone was established from the available source.
Study facts
- Study design
- Observational
- Participants / samples
- 4132 · basis not reported
- Randomised
- No
- Controlled
- No
- Primary endpoint met
- Not reported
- Relevant MS type
- Not reported
- Publication date
- 2026-10-12
- Evidence reviewed
- Abstract only
- Regulatory approval
- Not reported
- Research areas
- Neuroinflammation, Imaging, Other
Original sources
- Primary evidenceNormative Modeling of Amygdala Subfields and Disease-Specific Vulnerabilities Across Neurological Disorders. ↗DOI: 10.1007/s12264-026-01735-x
Supporting passages (9)
study designIn this study, three-dimensional T1-weighted MRI data from 22,258 healthy participants were analyzed using normative modeling to establish normative references for the volumes of the amygdala and its subfields.
subjectsBased on these references, individual centile scores were calculated for 4132 patients with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, cerebral small vessel disease, multiple sclerosis, and neuromyelitis optica spectrum disorder.
sample sizeBased on these references, individual centile scores were calculated for 4132 patients with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, cerebral small vessel disease, multiple sclerosis, and neuromyelitis optica spectrum disorder.
randomizedNo
controlledNo
research categoriesThese models elucidated the developmental and aging curves of the amygdala and identified distinct ages at peak volume across subfields, ranging from 24.6 to 43.7 years.
publication date2026-10-12
findingsThese findings suggest that normative references of the amygdala subfields provide insights into cross-disease alteration patterns and offer potential neuroimaging biomarkers to aid differential diagnosis and clinical assessment.
limitationsTitle: Normative Modeling of Amygdala Subfields and Disease-Specific Vulnerabilities Across Neurological Disorders.
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