Integrating Multiple Modalities to Enhance Performance for Brain Age Prediction

Leveraging machine learning (ML) techniques with comprehensive AD datasets holds significant potential to improve brain age prediction.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_099869
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating Multiple Modalities to Enhance Performance for Brain Age Prediction

J. Camille Hall, Sid E. O'Bryant, Leigh A. Johnson, Fan Zhang et al.
Alzheimer s & Dementia
EEG and Brain-Computer Interfaces
article

Integrating Multiple Modalities to Enhance Performance for Brain Age Prediction

J. Camille Hall, Sid E. O'Bryant, Leigh A. Johnson, Fan Zhang, Melissa Petersen
article en

Abstract

Leveraging machine learning (ML) techniques with comprehensive AD datasets holds significant potential to improve brain age prediction.

Alzheimer s & DementiaVol. 21(S2)
University of North Texas (US), University of North Texas Health Science Center (US)
Openalex Percentile: Top 33%
EEG and Brain-Computer Interfaces
DOIOpen Access PDFOpenAlex
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Integrating Multiple Modalities to Enhance Performance for Brain Age Prediction — J. Camille Hall, Sid E. O'Bryant, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS