Identifying texture features from structural magnetic resonance imaging scans associated with Tourette's syndrome using machine learning.

ABSTRACT:

Purpose

Tourette syndrome (TS) is a neurodevelopmental disorder characterized by neurophysiological and neuroanatomical changes, primarily affecting individuals aged 2 to 18. Involuntary motor and vocal tics are common features of this syndrome. Currently, there is no curative therapy for TS, only psychological treatments or medications that temporarily manage the tics. The absence of a definitive diagnostic tool complicates the differentiation of TS from other neurological and psychological conditions.

Approach

We aim to enhance the diagnosis of TS through the classification of structural magnetic resonance scans. Our methodology comprises four sequential steps: (1) image acquisition, data were generated for the National Taiwan University, composing images of pediatric magn

SUBMITTER: de Barros MC 

PROVIDER: S-EPMC11866941 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature