EEG As a Genetic Selection Lever in Autism Spectrum Disorder

Condition(s) studied

Investigational drug(s) / intervention(s)

Collection of routine care data: Clinical, EEG and genetic data from the patient records of the children included will be collected

Study 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.

Eligibility

Primary outcome measure(s)

• EEG profil — At Baseline
  The EEG characteristics will be described according to 3 categories: 1) spike-wave bursts (SWB) profile, 2) alteration of sleep spindles profile, 3) others profile. This assessment will be conducted in a blinded manner by 3 pediatric neurologists. The analysis will focus on the first 10 minutes of sleep, using a standardized assessment grid.

Trial sites (2)

More Centre Hospitalier Régional Metz-Thionville trials in France

Other trials for the same condition