Early Diagnosis of Alzheimer’s: Machine Learning Analysis Leveraging Structural MRI
SBM-derived subcortical atrophy patterns aid early AD detection and, when combined with ML, offer a scalable predictive framework. Among metrics, CTh showed the greatest decline in MCI-AD, followed by SD and GI. Progressive deterioration was observed in specific subcortical regions, accelerating near diagnosis. Classifiers achieved higher accuracy in distinguishing MCI-AD from HC at later time points, highlighting stage-specific shifts in feature importance.
Authors
- Nasheed Imtiaz
- Suhail Ahmad Dar (ORCID: https://orcid.org/0000-0002-2564-8204)
- Rameez Ahmad Dar
Institutions
- Tezpur University (IN)
- Aligarh Muslim University (IN)
- Engineering Arts (United States) (US)
Publication Details
- Journal
- Current Alzheimer Research
- Published
- 2026-02-26
- DOI
- https://doi.org/10.2174/0115672050421991260125153049
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00