0263 Feasibility of Measuring Sleep Spindles Using a Wearable EEG Headband in Adolescents with Neurodevelopmental Disorders

Abstract Introduction There is compelling evidence that sleep spindles, electroencephalogram (EEG) signatures of non-rapid eye movement sleep, are reliable markers thalamocortical dysfunction in Schizophrenia. While promising, this research limited by traditional EEG methods, which cultivate small, non-representative samples. Wearable headbands could be used to study naturalistic across several nights individuals who cannot tolerate standard assessments, but has yet tested. We aim test feasibility using a dry-EEG headband measure spindles adolescents with neurodevelopmental disorder, 22q11.2 Deletion Syndrome (22q11DS). Methods Adolescents 22q11DS (n=7; 3 Females; Age: 15-28 years) were asked their own bed wearing (Dreem 3). Feasibility data acquisition was determined the ability participants record at least consecutive nights. performed visual artifact detection and examined detect well-validated Ferrarelli Spindle Detection Algorithm on F7-O2 electrode. Results All subjects completed recording (range: 3-5 nights), suggesting device well-tolerated. The contained minimal artifact; 17 out 22 available for analysis < 20% epochs. best night only 6% Sleep successfully detected an automatic detector (M= 1.92 spindles/minute). Conclusion This pilot suggests offer feasible method disorders. new technology allow scalable biomarkers atypical neurodevelopment associated psychiatric Support (if any) RO1 MH085953; U01MH10171; UCLA Center Autism Research Pilot Grant; Dreem Coup de Coeur Award