Analyzing the Quality of Life in Individuals with Fragile X Syndrome in Relation to Sleep and Mental Health / Kerri WHITLOCK ; Cory ROSENFELT ; Julie SHATTO ; Brittany FINLAY ; Jennifer ZWICKER ; Sarah LIPPE ; Sébastien JACQUEMONT ; Randi J. HAGERMAN ; Kara MURIAS ; Francois V. BOLDUC in Journal of Autism and Developmental Disorders, 55-5 (May 2025)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 55-5 (May 2025) . - p.1910-1922 Titre : Analyzing the Quality of Life in Individuals with Fragile X Syndrome in Relation to Sleep and Mental Health Type de document : texte imprimé Auteurs : Kerri WHITLOCK, Auteur ; Cory ROSENFELT, Auteur ; Julie SHATTO, Auteur ; Brittany FINLAY, Auteur ; Jennifer ZWICKER, Auteur ; Sarah LIPPE, Auteur ; Sébastien JACQUEMONT, Auteur ; Randi J. HAGERMAN, Auteur ; Kara MURIAS, Auteur ; Francois V. BOLDUC, Auteur Article en page(s) : p.1910-1922 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The purpose of this paper was to examine the physical, emotional, social and school functioning domains of quality of life of individuals with Fragile X Syndrome, in relation to mental health and sleep patterns to gain a better understanding of how these aspects are affected by the disorder. This study included 119 individuals with Fragile X Syndrome who were given different cognitive examinations by a neuropsychologist or by parent-proxy questionnaires. This study focused on the Pediatric Quality of Life Inventory (PedsQoL), the Anxiety, Depression and Mood Scale (ADAMS), the Children s Sleep Habits Questionnaire (CSHQ), but did include other cognitive tests (Vineland Adaptive Behaviour Scales, Nonverbal IQ, Autism Diagnostic Observation Schedule). We identified significant associations between decreases in emotional, social and school domains of PedsQoL and the ADAMS subtests of Generalized Anxiety, Manic/Hyperactivity and Obsessive/Compulsivity, with the subtest of Depressed Mood having associations with lower physical and emotional domains. We also identified a significant impact between CSHQ subtests of Sleep Anxiety, Night Wakings, Daytime Sleepiness, and Parasomnia with the emotional and school domains of PedsQoL. There were associations connecting school functioning with Bedtime Resistance, and additional associations connecting emotional functioning with Sleep Duration and Sleep Onset Delay. Physical functioning was also associated with Sleep Anxiety. Our study shows how mental health and sleep defects impact improper sleep patterns and mental health which leads to decreases in the quality of life for individuals with FXS, and how it is important to screen for these symptoms in order to alleviate issues. En ligne : https://doi.org/10.1007/s10803-024-06317-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Analyzing the Quality of Life in Individuals with Fragile X Syndrome in Relation to Sleep and Mental Health [texte imprimé] / Kerri WHITLOCK, Auteur ; Cory ROSENFELT, Auteur ; Julie SHATTO, Auteur ; Brittany FINLAY, Auteur ; Jennifer ZWICKER, Auteur ; Sarah LIPPE, Auteur ; Sébastien JACQUEMONT, Auteur ; Randi J. HAGERMAN, Auteur ; Kara MURIAS, Auteur ; Francois V. BOLDUC, Auteur . - p.1910-1922. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 55-5 (May 2025) . - p.1910-1922 Index. décimale : PER Périodiques Résumé : The purpose of this paper was to examine the physical, emotional, social and school functioning domains of quality of life of individuals with Fragile X Syndrome, in relation to mental health and sleep patterns to gain a better understanding of how these aspects are affected by the disorder. This study included 119 individuals with Fragile X Syndrome who were given different cognitive examinations by a neuropsychologist or by parent-proxy questionnaires. This study focused on the Pediatric Quality of Life Inventory (PedsQoL), the Anxiety, Depression and Mood Scale (ADAMS), the Children s Sleep Habits Questionnaire (CSHQ), but did include other cognitive tests (Vineland Adaptive Behaviour Scales, Nonverbal IQ, Autism Diagnostic Observation Schedule). We identified significant associations between decreases in emotional, social and school domains of PedsQoL and the ADAMS subtests of Generalized Anxiety, Manic/Hyperactivity and Obsessive/Compulsivity, with the subtest of Depressed Mood having associations with lower physical and emotional domains. We also identified a significant impact between CSHQ subtests of Sleep Anxiety, Night Wakings, Daytime Sleepiness, and Parasomnia with the emotional and school domains of PedsQoL. There were associations connecting school functioning with Bedtime Resistance, and additional associations connecting emotional functioning with Sleep Duration and Sleep Onset Delay. Physical functioning was also associated with Sleep Anxiety. Our study shows how mental health and sleep defects impact improper sleep patterns and mental health which leads to decreases in the quality of life for individuals with FXS, and how it is important to screen for these symptoms in order to alleviate issues. En ligne : https://doi.org/10.1007/s10803-024-06317-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

Behavioral Phenotype Associations With Resting State EEG Signal Complexity and Power Spectral Density in Fragile X Syndrome / Mélodie PROTEAU-LEMIEUX in Autism Research, 19-3 (March 2026)  

Public ISBD [article]  inAutism Research > 19-3 (March 2026) . - e70194 Titre : Behavioral Phenotype Associations With Resting State EEG Signal Complexity and Power Spectral Density in Fragile X Syndrome Type de document : texte imprimé Auteurs : Mélodie PROTEAU-LEMIEUX, Auteur ; Inga S. KNOTH, Auteur ; Saeideh DAVOUDI, Auteur ; Rae BUCKSER, Auteur ; Charles-Olivier MARTIN, Auteur ; Anne-Marie BÉLANGER, Auteur ; Valérie K. FONTAINE, Auteur ; Hazel Maridith Barlahan BIAG, Auteur ; Leonard ABBEDUTO, Auteur ; Sébastien JACQUEMONT, Auteur ; David HESSL, Auteur ; Randi J. HAGERMAN, Auteur ; Andrea SCHNEIDER, Auteur ; Francois V. BOLDUC, Auteur ; Sarah LIPPE, Auteur Article en page(s) : e70194 Langues : Anglais (eng) Mots-clés : behavior  cognition  EEG  fragile X syndrome  PSD  resting state  signal complexity Index. décimale : PER Périodiques Résumé : ABSTRACT Fragile X Syndrome (FXS), an X-linked genetic condition, is associated with a wide range of phenotypic manifestations, namely intellectual disability (ID), autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and atypical behaviors. Individuals with FXS present robust electrophysiological (EEG) alterations, notably on signal complexity and power spectral density (PSD) resting state measures. To which extent they are associated to specific behavioral phenotypes in the FXS population remains to be comprehensively addressed. This study aimed to investigate the relations between resting state EEG markers and the most frequently observed symptoms in FXS. EEG and behavioral data from 41 individuals with FXS aged between 7 and 34?years old were collected, and correlational approaches were used to analyze the associations between EEG markers and symptomatology. We observed positive associations between complexity in higher scales and non-verbal intelligence quotient (NVIQ). Reduced alpha power, a robust biomarker in FXS, was associated with more social avoidance, a hallmark in FXS. Decreased high gamma power was linked to hyperactive symptoms. Our results suggest powerful relations between known biomarkers and core symptoms in FXS, highlighting that EEG biomarkers correspond to symptom severity which further supports their potential as objective, translational treatment outcome measures. En ligne : https://doi.org/10.1002/aur.70194 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=583 [article] Behavioral Phenotype Associations With Resting State EEG Signal Complexity and Power Spectral Density in Fragile X Syndrome [texte imprimé] / Mélodie PROTEAU-LEMIEUX, Auteur ; Inga S. KNOTH, Auteur ; Saeideh DAVOUDI, Auteur ; Rae BUCKSER, Auteur ; Charles-Olivier MARTIN, Auteur ; Anne-Marie BÉLANGER, Auteur ; Valérie K. FONTAINE, Auteur ; Hazel Maridith Barlahan BIAG, Auteur ; Leonard ABBEDUTO, Auteur ; Sébastien JACQUEMONT, Auteur ; David HESSL, Auteur ; Randi J. HAGERMAN, Auteur ; Andrea SCHNEIDER, Auteur ; Francois V. BOLDUC, Auteur ; Sarah LIPPE, Auteur . - e70194. Langues : Anglais (eng) in Autism Research > 19-3 (March 2026) . - e70194 Mots-clés : behavior  cognition  EEG  fragile X syndrome  PSD  resting state  signal complexity Index. décimale : PER Périodiques Résumé : ABSTRACT Fragile X Syndrome (FXS), an X-linked genetic condition, is associated with a wide range of phenotypic manifestations, namely intellectual disability (ID), autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and atypical behaviors. Individuals with FXS present robust electrophysiological (EEG) alterations, notably on signal complexity and power spectral density (PSD) resting state measures. To which extent they are associated to specific behavioral phenotypes in the FXS population remains to be comprehensively addressed. This study aimed to investigate the relations between resting state EEG markers and the most frequently observed symptoms in FXS. EEG and behavioral data from 41 individuals with FXS aged between 7 and 34?years old were collected, and correlational approaches were used to analyze the associations between EEG markers and symptomatology. We observed positive associations between complexity in higher scales and non-verbal intelligence quotient (NVIQ). Reduced alpha power, a robust biomarker in FXS, was associated with more social avoidance, a hallmark in FXS. Decreased high gamma power was linked to hyperactive symptoms. Our results suggest powerful relations between known biomarkers and core symptoms in FXS, highlighting that EEG biomarkers correspond to symptom severity which further supports their potential as objective, translational treatment outcome measures. En ligne : https://doi.org/10.1002/aur.70194 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=583

Specific EEG resting state biomarkers in FXS and ASD / Mélodie PROTEAU-LEMIEUX in Journal of Neurodevelopmental Disorders, 16 (2024)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Specific EEG resting state biomarkers in FXS and ASD Type de document : texte imprimé Auteurs : Mélodie PROTEAU-LEMIEUX, Auteur ; Inga Sophia KNOTH, Auteur ; Saeideh DAVOUDI, Auteur ; Charles-Olivier MARTIN, Auteur ; Anne-Marie BÉLANGER, Auteur ; Valérie FONTAINE, Auteur ; Valérie CÔTÉ, Auteur ; Kristian AGBOGBA, Auteur ; Keely VACHON, Auteur ; Kerri WHITLOCK, Auteur ; Hazel Maridith Barlahan BIAG, Auteur ; Angela John THURMAN, Auteur ; Cory ROSENFELT, Auteur ; Flora TASSONE, Auteur ; Julia FREI, Auteur ; Lucia CAPANO, Auteur ; Leonard ABBEDUTO, Auteur ; Sébastien JACQUEMONT, Auteur ; David HESSL, Auteur ; Randi Jenssen HAGERMAN, Auteur ; Andrea SCHNEIDER, Auteur ; Francois BOLDUC, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Sarah LIPPE, Auteur Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/complications  Male  Female  Child  Adolescent  Young Adult  Electroencephalography  Fragile X Syndrome/physiopathology/complications  Child, Preschool  Biomarkers  Adult  Alpha peak frequency  Autism spectrum disorder  Cognition  Fragile X syndrome  Multi scale entropy  Neurodevelopment  Power spectral density  Resting state EEG  Signal complexity Index. décimale : PER Périodiques Résumé : 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 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. 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 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. 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. En ligne : https://dx.doi.org/10.1186/s11689-024-09570-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Specific EEG resting state biomarkers in FXS and ASD [texte imprimé] / Mélodie PROTEAU-LEMIEUX, Auteur ; Inga Sophia KNOTH, Auteur ; Saeideh DAVOUDI, Auteur ; Charles-Olivier MARTIN, Auteur ; Anne-Marie BÉLANGER, Auteur ; Valérie FONTAINE, Auteur ; Valérie CÔTÉ, Auteur ; Kristian AGBOGBA, Auteur ; Keely VACHON, Auteur ; Kerri WHITLOCK, Auteur ; Hazel Maridith Barlahan BIAG, Auteur ; Angela John THURMAN, Auteur ; Cory ROSENFELT, Auteur ; Flora TASSONE, Auteur ; Julia FREI, Auteur ; Lucia CAPANO, Auteur ; Leonard ABBEDUTO, Auteur ; Sébastien JACQUEMONT, Auteur ; David HESSL, Auteur ; Randi Jenssen HAGERMAN, Auteur ; Andrea SCHNEIDER, Auteur ; Francois BOLDUC, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Sarah LIPPE, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/complications  Male  Female  Child  Adolescent  Young Adult  Electroencephalography  Fragile X Syndrome/physiopathology/complications  Child, Preschool  Biomarkers  Adult  Alpha peak frequency  Autism spectrum disorder  Cognition  Fragile X syndrome  Multi scale entropy  Neurodevelopment  Power spectral density  Resting state EEG  Signal complexity Index. décimale : PER Périodiques Résumé : 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 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. 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 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. 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. En ligne : https://dx.doi.org/10.1186/s11689-024-09570-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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