Evidence map›Paper›PMID 39251926›Full record

ArticleJournal of neurodevelopmental disorders2024

Specific EEG resting state biomarkers in FXS and ASD.

Mélodie Proteau-Lemieux, Inga Sophia Knoth, Saeideh Davoudi, Charles-Olivier Martin, Anne-Marie Bélanger, Valérie Fontaine, Valérie Côté, Kristian Agbogba, Keely Vachon, Kerri Whitlock and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neurodevelopmental disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Behavioral Phenotype Associations With Resting State EEG Signal Complexity and Power Spectral Density in Fragile X Syndrome.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Brian Intensify: An Adaptive Machine Learning Framework for Auditory EEG Stimulation and Cognitive Enhancement in FXS.2025 3rd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Mélodie Proteau-LemieuxDepartment of Psychology, University of Montreal, Montreal, QC, Canada.
Inga Sophia KnothResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Saeideh DavoudiResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Charles-Olivier MartinResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Anne-Marie BélangerResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Valérie FontaineResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Valérie CôtéResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Kristian AgbogbaResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
Keely VachonUniversity of Alberta, Edmonton, AB, Canada.
Kerri WhitlockUniversity of Alberta, Edmonton, AB, Canada.
Hazel Maridith Barlahan BiagDepartment of Pediatrics and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Angela John ThurmanDepartment of Psychiatry and Behavioral Sciences and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Cory RosenfeltDepartment of Pediatric Neurology, University of Alberta, Edmonton, AB, Canada.
Flora TassoneDepartment of Biochemistry and Molecular Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
Julia FreiMcMaster University of Ottawa, Ottawa, ON, Canada.
Lucia CapanoQueen's University of Kingston, Kingston, ON, Canada.
Leonard AbbedutoDepartment of Psychiatry and Behavioral Sciences and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Sébastien JacquemontResearch Center of the Sainte-Justine University Hospital, Montreal, QC, Canada.
David HesslDepartment of Psychiatry and Behavioral Sciences and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Randi Jenssen HagermanDepartment of Pediatrics and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Andrea SchneiderDepartment of Pediatrics and MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Francois BolducDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.
Evdokia AnagnostouDepartment of Paediatrics, University of Toronto, Toronto, ON, Canada.
Sarah LippeDepartment of Psychology, University of Montreal, Montreal, QC, Canada. Sarah.lippe@umontreal.ca.ORCID 0000-0002-4430-1644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFragile 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.

methodsResting 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 MANCOVAs with age as covariate when appropriate. MANCOVAs controlling for age, when appropriate, and nonverbal intelligence quotient (NVIQ) score were subsequently performed to determine the impact of cognitive functioning on EEG alterations.

resultsOur 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 theta, alpha 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.

conclusionsThese 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.

Indexed as

Autism Spectrum DisorderElectroencephalographyFragile X SyndromeAdolescentAdultBiomarkersChildChild, PreschoolFemaleHumansMaleYoung AdultBiomarkersAlpha peak frequencyAutism spectrum disorderCognitionFragile X syndromeMulti scale entropyNeurodevelopmentPower spectral densityResting state EEGSignal complexity

Identifiers

PMID39251926
PMCPMC11382468

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.