Prediction of Longitudinal Changes in Hippocampal and Parahippocampal Structures: An Interpretable Bayesian Analysis in Alzheimer's Disease

In this study, we demonstrate that a GRU-BEND model which is able to effectively predict longitudinal changes in volumes of hippocampal and parahippocampal structures in Alzheimer's disease based on two years of data. This may be helpful in prognosticating patients and quantitative estimation of treatment effects.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_106410
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of Longitudinal Changes in Hippocampal and Parahippocampal Structures: An Interpretable Bayesian Analysis in Alzheimer's Disease

Ratnadeep Das, Sitikantha Roy, Atri Chatterjee
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Prediction of Longitudinal Changes in Hippocampal and Parahippocampal Structures: An Interpretable Bayesian Analysis in Alzheimer's Disease

Ratnadeep Das, Sitikantha Roy, Atri Chatterjee
article en

Abstract

In this study, we demonstrate that a GRU-BEND model which is able to effectively predict longitudinal changes in volumes of hippocampal and parahippocampal structures in Alzheimer's disease based on two years of data. This may be helpful in prognosticating patients and quantitative estimation of treatment effects.

Alzheimer s & DementiaVol. 21(S2)
Vardhman Mahavir Medical College & Safdarjung Hospital (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 28%
Dementia and Cognitive Impairment Research
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