MRI Clustering Reveals Three ALS Subtypes With Unique Neurodegeneration Patterns.

ABSTRACT:

Objective

The purpose of this study was to identify subtypes of amyotrophic lateral sclerosis (ALS) by comparing patterns of neurodegeneration using brain magnetic resonance imaging (MRI) and explore their phenotypes.

Methods

We performed T1-weighted and diffusion tensor imaging in 488 clinically well-characterized patients with ALS and 338 control subjects. Measurements of whole-brain cortical thickness and white matter connectome fractional anisotropy were adjusted for disease-unrelated variation. A probabilistic network-based clustering algorithm was used to divide patients into subgroups of similar neurodegeneration patterns. Clinical characteristics and cognitive profiles were assessed for each subgroup. In total, 512 follow-up scans were used to validate clustering res

SUBMITTER: Tan HHG 

PROVIDER: S-EPMC9826424 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature