Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS.

ABSTRACT: Longitudinal fMRI studies hold great promise for the study of neurodegenerative diseases, development and aging, but realizing their full potential depends on extracting accurate fMRI-based measures of brain function and organization in individual subjects over time. This is especially true for studies of rare, heterogeneous and/or rapidly progressing neurodegenerative diseases. These often involve small samples with heterogeneous functional features, making traditional group-difference analyses of limited utility. One such disease is amyotrophic lateral sclerosis (ALS), a severe disease resulting in extreme loss of motor function and eventual death. Here, we use an advanced individualized task fMRI analysis approach to analyze a rich longitudinal dataset containing 190 hand clench fMRI sc

SUBMITTER: Mejia AF 

PROVIDER: S-EPMC9580623 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature