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Functional Connectivity During Tic Suppression Predicts Reductions in Vocal Tics Following Behavior Therapy in Children with Tourette Syndrome

Overview
Journal Psychol Med
Specialty Psychology
Date 2023 Jul 24
PMID 37485677
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Abstract

Background: Comprehensive Behavioral Intervention for Tics (CBIT) is recommended as a first-line treatment for Tourette syndrome in children and adults. While there is strong evidence proving its efficacy, the mechanisms of reduction in tic severity during CBIT are still poorly understood. In a recent study, our group identified a functional brain network involved in tic suppression in children with TS. We reasoned that voluntary tic suppression and CBIT may share some mechanisms and thus we wanted to assess whether functional connectivity during tic suppression was associated with CBIT outcome.

Methods: Thirty-two children with TS, aged 8 to 13 years old, participated in a randomized controlled trial of CBIT a treatment-as-usual control condition. EEG was recorded during tic suppression in all participants at baseline and endpoint. We used a source-reconstructed EEG connectivity pipeline to assess functional connectivity during tic suppression.

Results: Functional connectivity during tic suppression did not change from baseline to endpoint. However, baseline tic suppression-related functional connectivity specifically predicted the decrease in vocal tic severity from baseline to endpoint in the CBIT group. Supplementary analyses revealed that the functional connectivity between the right superior frontal gyrus and the right angular gyrus was mainly driving this effect.

Conclusions: This study revealed that functional connectivity during tic suppression at baseline predicted reduction in vocal tic severity. These results suggest probable overlap between the mechanisms of voluntary tic suppression and those of behavior therapy for tics.

Citing Articles

Tourette syndrome research highlights from 2023.

Hartmann A, Andren P, Atkinson-Clement C, Czernecki V, Delorme C, Mol Debes N F1000Res. 2024; 13:677.

PMID: 39296887 PMC: 11409664. DOI: 10.12688/f1000research.150931.2.

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