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EEG As a Genetic Selection Lever in Autism Spectrum Disorder
Sponsor: Centre Hospitalier Régional Metz-Thionville
Summary
Autism Spectrum Disorder (ASD) is a growing public health concern, with genetic causes identified in about 20% of cases. While exome/genome sequencing is powerful, its cost and limited yield call for better patient selection. Electroencephalography (EEG) shows promise: early EEG patterns can predict ASD, and specific EEG features may help identify subgroups more likely to have a genetic cause. This project explores using EEG to optimize genetic testing strategies in ASD.
Official title: Electroencephalography in Autism Spectrum Disorder: A Potential Aid in the Selection of Candidates for Extended Genetic Testing
Key Details
Gender
All
Age Range
12 Months - 17 Years
Study Type
OBSERVATIONAL
Enrollment
80
Start Date
2026-09
Completion Date
2027-02
Last Updated
2026-10-23
Healthy Volunteers
No
Conditions
Interventions
Collection of routine care data
Clinical, EEG and genetic data from the patient records of the children included will be collected
Locations (2)
Cabinet de Neurologie Pédiatrique
Le Ban Saint-Martin, France
CHR Metz-Thionville Hopital Femme Mere Enfant
Metz, France