Distinct spatiotemporal atrophy patterns in corticobasal syndrome are associated with different underlying pathologies.

ABSTRACT:

Objective

To identify imaging subtypes of the cortico-basal syndrome (CBS) based solely on a data-driven assessment of MRI atrophy patterns, and investigate whether these subtypes provide information on the underlying pathology.

Methods

We applied Subtype and Stage Inference (SuStaIn), a machine learning algorithm that identifies groups of individuals with distinct biomarker progression patterns, to a large cohort of 135 CBS cases (52 had a pathological or biomarker defined diagnosis) and 252 controls. The model was fit using volumetric features extracted from baseline T1-weighted MRI scans and validated using follow-up MRI. We compared the clinical phenotypes of each subtype and investigated whether there were differences in associated pathology between the subtypes.

Res

SUBMITTER: Scotton WJ 

PROVIDER: S-EPMC10984071 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature