Reliability of resting-state electrophysiology in fragile X syndrome.
Electrophysiological biomarker
Fragile X Syndrome
Intraclass correlation
Resting-state EEG
Test-retest reliability
Journal
Biomarkers in neuropsychiatry
ISSN: 2666-1446
Titre abrégé: Biomark Neuropsychiatry
Pays: Netherlands
ID NLM: 101759453
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
medline:
31
5
2024
pubmed:
31
5
2024
entrez:
31
5
2024
Statut:
ppublish
Résumé
Fragile X Syndrome (FXS) is the leading monogenic cause of intellectual disability and autism spectrum disorder. Currently, there are no established biomarkers for predicting and monitoring drug effects in FXS, and no approved therapies are available. Previous studies have shown electrophysiological changes in the brain using electroencephalography (EEG) in individuals with FXS and animal models. These changes may be influenced by drug therapies. In this study, we aimed to assess the reliability of resting-state EEG measures in individuals with FXS, which could potentially serve as a biomarker for drug discovery. We collected resting-state EEG data from 35 individuals with FXS participating in placebo-controlled clinical trials (23 males, 12 females; visit age mean+/-std 25.6 +/-8.3). The data were analyzed for various spectral features using intraclass correlation analysis to evaluate test-retest reliability. The intervals between EEG recordings ranged from same-day measurements to up to six weeks apart. Our results showed high reliability for most spectral features, with same-day reliability exceeding 0.8. Features of interest demonstrated ICC values of 0.60 or above at longer intervals. Among the features, alpha band relative power exhibited the highest reliability. These findings indicate that resting-state EEG can provide consistent and reproducible measures of brain activity in individuals with FXS. This supports the potential use of EEG as an objective biomarker for evaluating the effects of new drugs in FXS. The reliable measurements obtained from power spectrum-based resting-state EEG make it a promising tool for assessing the impact of small molecule drugs in FXS.
Identifiants
pubmed: 38817342
doi: 10.1016/j.bionps.2023.100070
pmc: PMC11138258
pii:
doi:
Types de publication
Journal Article
Langues
eng
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Rui Liu, Ernest V. Pedapati, Lauren M. Schmitt, Rebecca C. Shaffer, Elizabeth G. Smith, Kelli C. Dominick, Lisa A. DeStefano, Grace Westerkamp, Paul Horn, and John A. Sweeney have no conflict with this work. Craig A. Erickson is a current consultant to Impel, Scioto Bioscience, and Forge.