Anatomical categorization of isolated non-focal dystonia: novel and existing patterns using a data-driven approach.

ABSTRACT: According to expert consensus, dystonia can be classified as focal, segmental, multifocal, and generalized, based on the affected body distribution. To provide an empirical and data-driven approach to categorizing these distributions, we used a data-driven clustering approach to compare frequency and co-occurrence rates of non-focal dystonia in pre-defined body regions using the Dystonia Coalition (DC) dataset. We analyzed 1,618 participants with isolated non-focal dystonia from the DC database. The analytic approach included construction of frequency tables, variable-wise analysis using hierarchical clustering and independent component analysis (ICA), and case-wise consensus hierarchical clustering to describe associations and clusters for dystonia affecting any combination of eighteen pr

SUBMITTER: Younce JR 

PROVIDER: S-EPMC10621194 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature