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Correlating clinical course with baseline subcortical shape in provisional tic disorder
Tiffanie Che1, Soyoung Kim2, Deanna J Greene3
1Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, OH, USA.
CNS Spectrums
|November 28, 2024
Summary
Children with new tic disorders show distinct brain structure differences. Larger pallidum and thalamus at baseline predict poorer tic symptom improvement, offering early prognostic biomarkers.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Pediatric Neurology
Background:
- Tic disorders, including Tourette Syndrome (TS), affect children and adolescents.
- Research on early-stage tic disorders (less than 9 months duration) is limited.
- Understanding neurobiological underpinnings of tic disorder onset and progression is crucial.
Purpose of the Study:
- To investigate the relationship between baseline subcortical nuclei shape and volume and tic disorder diagnosis in children.
- To identify potential neuroimaging biomarkers for predicting tic symptom outcomes.
- To explore differences in subcortical structures between children with new-onset tics, chronic tic disorders, and healthy controls.
Main Methods:
- 187 children (88 new-onset tics [NT], 39 Tourette Syndrome [TS], 60 healthy controls [HC]) underwent baseline and 12-month follow-up assessments.
- T1-weighted MRI scans were used to generate subcortical surface maps via FreeSurfer-initialized large deformation diffeomorphic metric mapping.
- Linear regression models correlated baseline structural features with 12-month tic symptom severity (Total Tic Score).
Main Results:
- The NT group exhibited a larger right hippocampus compared to HC.
- Distinct patterns of putamen inward and thalamus outward deformation were observed in the NT group versus controls.
- Larger baseline pallidum and thalamus volumes correlated with less improvement in tic symptoms at follow-up.
Conclusions:
- Subcortical nuclei shape and volume differences at baseline may serve as prognostic biomarkers for tic disorders.
- These findings highlight the potential of neuroimaging to predict tic disorder outcomes in children.
- Early identification of structural variations could inform targeted interventions for pediatric tic disorders.
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