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.

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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
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article

Early Diagnosis of Alzheimer’s: Machine Learning Analysis Leveraging Structural MRI

Nasheed Imtiaz, Suhail Ahmad Dar, Rameez Ahmad Dar
Current Alzheimer Research
Dementia and Cognitive Impairment Research
article

Early Diagnosis of Alzheimer’s: Machine Learning Analysis Leveraging Structural MRI

Nasheed Imtiaz, Suhail Ahmad Dar, Rameez Ahmad Dar
article en

Abstract

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.

Current Alzheimer ResearchVol. 23
Tezpur University (IN), Aligarh Muslim University (IN), Engineering Arts (United States) (US)
Openalex Percentile: Top 45%
Dementia and Cognitive Impairment Research
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