Detection of emerging neurodegeneration using Bayesian linear mixed-effect modeling.

ABSTRACT: 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 disorders are heterogeneous, and early manifestations can vary greatly across people. Methods for detecting emerging neurodegeneration in any part of the brain are therefore needed. Prior publications have described the use of Bayesian linear mixed-effects (BLME) modeling for characterizing the trajectory of change across the brain in healthy controls and patients with neurodegenerative disease. Here, we use an extension of such a model to detect emerging neurodegeneration in cognitively healthy

SUBMITTER: Cobigo Y 

PROVIDER: S-EPMC9428846 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature