How brain networks tic: Predicting tic severity through rs-fMRI dynamics in Tourette syndrome.

ABSTRACT: Tourette syndrome (TS) is a neuropsychiatric disorder characterized by motor and phonic tics, which several different theories, such as basal ganglia-thalamo-cortical loop dysfunction and amygdala hypersensitivity, have sought to explain. Previous research has shown dynamic changes in the brain prior to tic onset leading to tics, and this study aims to investigate the contribution of network dynamics to them. For this, we have employed three methods of functional connectivity to resting-state fMRI data - namely the static, the sliding window dynamic and the ICA based estimated dynamic; followed by an examination of the static and dynamic network topological properties. A leave-one-out (LOO-) validated regression model with LASSO regularization was used to identify the key predictors. The r

SUBMITTER: Ramkiran S 

PROVIDER: S-EPMC10318206 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature