Detection of emerging neurodegeneration using Bayesian linear mixed-effect modeling

Early detection of neurodegeneration, and prediction of when neurodegenerative diseases will lead to symptoms, are critical for developing and initiating disease modifying treatments for these disorders. While each neurodegenerative disease has a typical pattern of early changes in the brain, these...

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Bibliographic Details
Main Authors:	Yann Cobigo, Matthew S. Goh, Amy Wolf, Adam M. Staffaroni, John Kornak, Bruce L. Miller, Gil D. Rabinovici, William W. Seeley, Salvatore Spina, Adam L. Boxer, Bradley F. Boeve, Lei Wang, Ricardo Allegri, Marty Farlow, Hiroshi Mori, Richard J. Perrin, Joel Kramer, Howard J. Rosen
Format:	Article
Language:	English
Published:	Elsevier 2022-01-01
Series:	NeuroImage: Clinical
Subjects:	Bayesian linear mixed-effect Bayesian prediction Alzheimer’s Disease Frontotemporal Lobar Degeneration
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213158222002091

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http://www.sciencedirect.com/science/article/pii/S2213158222002091

Detection of emerging neurodegeneration using Bayesian linear mixed-effect modeling

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