Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging

Specific brain structures (gray matter regions and white matter tracts) play a dominant role in determining cognitive decline and explain the heterogeneity in cognitive aging. Identification of these structures is crucial for screening of older adults at risk of cognitive decline. Using deep learnin...

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Bibliographic Details
Main Authors: Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr, Ravishankar K. Iyer, Prashanthi Vemuri
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:NeuroImage
Subjects:
Cognitive heterogeneity
Brain reserve
Deep learning
Cognitive aging
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922001495

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http://www.sciencedirect.com/science/article/pii/S1053811922001495

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