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Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep.

Authors :
Levin Y
Hosamane NS
McNair TE
Kunnam SS
Philpot BD
Fan Z
Sidorov MS
Source :
Autism research : official journal of the International Society for Autism Research [Autism Res] 2022 Jun; Vol. 15 (6), pp. 1031-1042. Date of Electronic Publication: 2022 Mar 19.
Publication Year :
2022

Abstract

Angelman syndrome (AS) is a neurodevelopmental disorder caused by loss-of-function mutations in the maternal copy of the UBE3A gene. AS is characterized by intellectual disability, impaired speech and motor skills, epilepsy, and sleep disruptions. Multiple treatment strategies to re-express functional neuronal UBE3A from the dormant paternal allele were successful in rodent models of AS and have now moved to early phase clinical trials in children. Developing reliable and objective AS biomarkers is essential to guide the design and execution of current and future clinical trials. Our prior work quantified short daytime electroencephalograms (EEGs) to define promising biomarkers for AS. Here, we asked whether overnight sleep is better suited to detect AS EEG biomarkers. We retrospectively analyzed EEGs from 12 overnight sleep studies from individuals with AS with age and sex-matched Down syndrome and neurotypical controls, focusing on low frequency (2-4 Hz) delta rhythms and sleep spindles. Delta EEG rhythms were increased in individuals with AS during all stages of overnight sleep, but overnight sleep did not provide additional benefit over wake in the ability to detect increased delta. Abnormal sleep spindles were not reliably detected in EEGs from individuals with AS during overnight sleep, suggesting that delta rhythms represent a more reliable biomarker. Overall, we conclude that periods of wakefulness are sufficient, and perhaps ideal, to quantify delta EEG rhythms for use as AS biomarkers. LAY SUMMARY: Electroencephalography (EEG) is a safe and reliable way of measuring abnormal brain activity in Angelman syndrome. We found that low-frequency "delta" EEG rhythms are increased in individuals with Angelman syndrome during all stages of overnight sleep. Delta rhythms can be used as a tool to measure improvement in future clinical trials.<br /> (© 2022 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1939-3806
Volume :
15
Issue :
6
Database :
MEDLINE
Journal :
Autism research : official journal of the International Society for Autism Research
Publication Type :
Academic Journal
Accession number :
35304979
Full Text :
https://doi.org/10.1002/aur.2709