Specific EEG resting state biomarkers in FXS and ASD

Author:

Proteau-Lemieux Mélodie1,Knoth Inga Sophia2,Davoudi Saeideh1,Martin Charles-Olivier2,Bélanger Anne-Marie2,Fontaine Valérie2,Côté Valérie2,Agbogba Kristian2,Vachon Keely3,Whitlock Kerri3,Biag Hazel Maridith Barlahan4,Thurman Angela John4,Rosenfelt Cory3,Tassone Flora5,Frei Julia6,Capano Lucia7,Abbeduto Leonard4,Jacquemont Sébastien2,Hessl David4,Hagerman Randi Jenssen4,Schneider Andrea4,Bolduc Francois3,Anagnostou Evdokia8,Lippe Sarah2ORCID

Affiliation:

1. University of Montreal: Universite de Montreal

2. Sainte-Justine Hospital Pediatric Research Centre: Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine

3. University of Alberta

4. MIND Institute: University of California Davis MIND Institute

5. University of California Davis

6. McMaster University

7. Queen's University - Kingston Campus: Queen's University

8. Holland Bloorview Kids Rehabilitation Hospital

Abstract

Abstract Background: Fragile X syndrome (FXS) and autism spectrum disorder (ASD) are neurodevelopmental conditions that often have a substantial impact on daily functioning and quality of life. FXS is the most common cause of inherited intellectual disability (ID) and the most common monogenetic cause of ASD. Previous literature has shown that electrophysiological activity measured by electroencephalogram (EEG) during resting state is perturbated in FXS and ASD. However, whether electrophysiological profiles of participants with FXS and ASD are similar remains unclear. The aim of this study was to compare EEG alterations found in these two clinical populations presenting varying degrees of cognitive and behavioral impairments. Methods: Resting state EEG signal complexity, alpha peak frequency (APF) and power spectral density (PSD) were compared between 47 participants with FXS (aged between 5-20), 49 participants with ASD (aged between 6-17), and 52 neurotypical (NT) controls with a similar age distribution using one-way ANOVAs. ANCOVAs controlling for nonverbal intellectual quotient (NVIQ) scores were subsequently performed to determine the impact of cognitive functioning on EEG alterations. Results: Our results showed that FXS participants manifested decreased signal complexity and APF compared to ASD participants and NT controls, as well as altered power in the alpha, beta, and low gamma frequency bands. ASD participants showed exaggerated beta power compared to FXS participants and NT controls, as well as enhanced low and high gamma power compared to NT controls. However, ASD participants did not manifest altered signal complexity or APF. Furthermore, when controlling for NVIQ, results of decreased complexity in higher scales and lower APF in FXS participants compared to NT controls and ASD participants were not replicated. Conclusions: These findings suggest that signal complexity and APF might reflect cognitive functioning, while altered power in the low gamma frequency band might be associated with neurodevelopmental conditions, particularly FXS and ASD.

Publisher

Research Square Platform LLC

Reference60 articles.

1. Centers for Disease Control and Prevention. : Data and Statistics on Fragile X Syndrome. https://www.cdc.gov/ncbddd/fxs/data.html#:~:text=Females%20often%20have%20milder%20symptoms%20than%20males.&text=The%20exact%20number%20of%20people,have%20been%20diagnosed%20with%20FXS. (2022) Accessed on 20 June 2023.

2. World Health Organization. : Autism. https://www.who.int/news-room/fact-sheets/detail/autism-spectrum-disorders. (2023) Accessed on 20 June 2023.

3. Fragile X syndrome;Hagerman RJ;Nat Rev Dis Primers,2017

4. Risk factors, diagnosis, prognostic and treatment of autism;Styles M;Front Biosc,2020

5. Caregiver report of executive functioning in a population-based sample of young children with Down syndrome;Lee NR;Am J Intellect Dev Disabil,2011

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