A common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder / Megha SANTHOSH ; Emily NEUHAUS ; Catherine A.W. SULLIVAN ; Raphael A. BERNIER ; Susan Y. BOOKHEIMER ; Mirella DAPRETTO ; Daniel H. GESCHWIND ; Allison JACK ; James C. MCPARTLAND ; John D. VAN HORN ; Kevin A. PELPHREY ; Abha R. GUPTA ; Sara Jane WEBB ; THE A.C.E. GENDAAR NETWORK in Autism Research, 18-5 (May 2025)  

Public ISBD [article]  inAutism Research > 18-5 (May 2025) . - p.898-908 Titre : A common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Megha SANTHOSH, Auteur ; Emily NEUHAUS, Auteur ; Catherine A.W. SULLIVAN, Auteur ; Raphael A. BERNIER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; Daniel H. GESCHWIND, Auteur ; Allison JACK, Auteur ; James C. MCPARTLAND, Auteur ; John D. VAN HORN, Auteur ; Kevin A. PELPHREY, Auteur ; Abha R. GUPTA, Auteur ; Sara Jane WEBB, Auteur ; THE A.C.E. GENDAAR NETWORK, Auteur Article en page(s) : p.898-908 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  communication  language  SNP rs2710102  the polymorphism of CNTNAP2 Index. décimale : PER Périodiques Résumé : Abstract One of the candidate genes related to language variability in individuals with Autism Spectrum Disorder (ASD) is the contactin-associated protein-like 2 gene (CNTNAP2), a member of the Neurexin family. However, due to the different assessment tools used, it is unknown whether the polymorphisms of the CNTNAP2 gene are linked to structural language skills or more general communication abilities. A total of 302 youth aged 7 to 18 years participated in the present study: 131 verbal youth with ASD (62 female), 130 typically developing (TD) youth (64 female), and 41 unaffected siblings (US) of youth with ASD (25 female). Blood samples were collected to obtain genomic DNA and processed by the Rutgers University Cell and Data Repository or using standard protocols (Gentra Puregene Blood DNA extraction kit; Qiagen). Language and verbal communication skills were screened with the Clinical Evaluation of Language Fundamental-4 (CELF-4) and Vineland-II Communication domain, subsequently. The results showed that the polymorphism of CNTNAP2 (SNP rs2710102) was related to structural language abilities, such that participants carrying the A-allele had lower language skills in comparison to the G-allele homozygotes. No relationship was found between the polymorphism of CNTNAP2 and more general communication abilities. Although the study revealed genetic mechanisms that are associated with CELF-4 measures but not Vineland-II in youth with ASD, follow-up studies are needed that will include measures of language and communication that are less correlated to each other as well as will include a group of minimally and/or non-verbal individuals with ASD. En ligne : https://doi.org/10.1002/aur.3193 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=558 [article] A common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder [texte imprimé] / Megha SANTHOSH, Auteur ; Emily NEUHAUS, Auteur ; Catherine A.W. SULLIVAN, Auteur ; Raphael A. BERNIER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; Daniel H. GESCHWIND, Auteur ; Allison JACK, Auteur ; James C. MCPARTLAND, Auteur ; John D. VAN HORN, Auteur ; Kevin A. PELPHREY, Auteur ; Abha R. GUPTA, Auteur ; Sara Jane WEBB, Auteur ; THE A.C.E. GENDAAR NETWORK, Auteur . - p.898-908. Langues : Anglais (eng) in Autism Research > 18-5 (May 2025) . - p.898-908 Mots-clés : Autism Spectrum Disorder  communication  language  SNP rs2710102  the polymorphism of CNTNAP2 Index. décimale : PER Périodiques Résumé : Abstract One of the candidate genes related to language variability in individuals with Autism Spectrum Disorder (ASD) is the contactin-associated protein-like 2 gene (CNTNAP2), a member of the Neurexin family. However, due to the different assessment tools used, it is unknown whether the polymorphisms of the CNTNAP2 gene are linked to structural language skills or more general communication abilities. A total of 302 youth aged 7 to 18 years participated in the present study: 131 verbal youth with ASD (62 female), 130 typically developing (TD) youth (64 female), and 41 unaffected siblings (US) of youth with ASD (25 female). Blood samples were collected to obtain genomic DNA and processed by the Rutgers University Cell and Data Repository or using standard protocols (Gentra Puregene Blood DNA extraction kit; Qiagen). Language and verbal communication skills were screened with the Clinical Evaluation of Language Fundamental-4 (CELF-4) and Vineland-II Communication domain, subsequently. The results showed that the polymorphism of CNTNAP2 (SNP rs2710102) was related to structural language abilities, such that participants carrying the A-allele had lower language skills in comparison to the G-allele homozygotes. No relationship was found between the polymorphism of CNTNAP2 and more general communication abilities. Although the study revealed genetic mechanisms that are associated with CELF-4 measures but not Vineland-II in youth with ASD, follow-up studies are needed that will include measures of language and communication that are less correlated to each other as well as will include a group of minimally and/or non-verbal individuals with ASD. En ligne : https://doi.org/10.1002/aur.3193 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=558

Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials / Logan SHURTZ in Autism, 27-4 (May 2023)  

Public ISBD [article]  inAutism > 27-4 (May 2023) . - p.952-966 Titre : Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials Type de document : texte imprimé Auteurs : Logan SHURTZ, Auteur ; Chloe SCHWARTZ, Auteur ; Charlotte DISTEFANO, Auteur ; James C. MCPARTLAND, Auteur ; April R. LEVIN, Auteur ; Geraldine DAWSON, Auteur ; Natalia M. KLEINHANS, Auteur ; Susan FAJA, Auteur ; Sara J. WEBB, Auteur ; Frederick SHIC, Auteur ; Adam J. NAPLES, Auteur ; Helen SEOW, Auteur ; Raphael A. BERNIER, Auteur ; Katarzyna CHAWARSKA, Auteur ; Catherine A. SUGAR, Auteur ; James DZIURA, Auteur ; Damla SENTURK, Auteur ; Megha SANTHOSH, Auteur ; Shafali S. JESTE, Auteur Article en page(s) : p.952-966 Langues : Anglais (eng) Mots-clés : aberrant behavior checklist,antipsychotics,autism spectrum disorders,clinical trials,medications,Vineland Adaptive Behavior Scales Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder are prescribed various medications to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity and prevent contamination of clinical endpoints. However, this choice may compromise the representativeness of the sample. In a recent study designed to identify biomarkers and endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, providing the opportunity to examine characteristics of psychotropic medication use and guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the study and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Our findings suggest that exclusion of children taking concomitant psychotropic medications could limit the representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options.Lay abstractChildren with autism spectrum disorder are prescribed a variety of medications that affect the central nervous system (psychotropic medications) to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity of the sample and prevent contamination of biomarkers or clinical endpoints. However, this choice may significantly diminish the clinical representativeness of the sample. In a recent multisite study designed to identify biomarkers and behavioral endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, thus providing a unique opportunity to examine characteristics of psychotropic medication use in a research cohort and to guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the ABC-CT and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half of these children. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Descriptive analysis showed that children taking antipsychotics displayed a trend toward greater overall impairment. Our findings suggest that exclusion of children taking concomitant psychotropic medications in trials could limit the clinical representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options. En ligne : https://doi.org/10.1177/13623613221121425 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 [article] Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials [texte imprimé] / Logan SHURTZ, Auteur ; Chloe SCHWARTZ, Auteur ; Charlotte DISTEFANO, Auteur ; James C. MCPARTLAND, Auteur ; April R. LEVIN, Auteur ; Geraldine DAWSON, Auteur ; Natalia M. KLEINHANS, Auteur ; Susan FAJA, Auteur ; Sara J. WEBB, Auteur ; Frederick SHIC, Auteur ; Adam J. NAPLES, Auteur ; Helen SEOW, Auteur ; Raphael A. BERNIER, Auteur ; Katarzyna CHAWARSKA, Auteur ; Catherine A. SUGAR, Auteur ; James DZIURA, Auteur ; Damla SENTURK, Auteur ; Megha SANTHOSH, Auteur ; Shafali S. JESTE, Auteur . - p.952-966. Langues : Anglais (eng) in Autism > 27-4 (May 2023) . - p.952-966 Mots-clés : aberrant behavior checklist,antipsychotics,autism spectrum disorders,clinical trials,medications,Vineland Adaptive Behavior Scales Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder are prescribed various medications to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity and prevent contamination of clinical endpoints. However, this choice may compromise the representativeness of the sample. In a recent study designed to identify biomarkers and endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, providing the opportunity to examine characteristics of psychotropic medication use and guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the study and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Our findings suggest that exclusion of children taking concomitant psychotropic medications could limit the representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options.Lay abstractChildren with autism spectrum disorder are prescribed a variety of medications that affect the central nervous system (psychotropic medications) to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity of the sample and prevent contamination of biomarkers or clinical endpoints. However, this choice may significantly diminish the clinical representativeness of the sample. In a recent multisite study designed to identify biomarkers and behavioral endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, thus providing a unique opportunity to examine characteristics of psychotropic medication use in a research cohort and to guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the ABC-CT and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half of these children. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Descriptive analysis showed that children taking antipsychotics displayed a trend toward greater overall impairment. Our findings suggest that exclusion of children taking concomitant psychotropic medications in trials could limit the clinical representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options. En ligne : https://doi.org/10.1177/13623613221121425 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499

Frontal EEG alpha asymmetry in youth with autism: Sex differences and social-emotional correlates / Megha SANTHOSH ; Anna KRESSE ; Elizabeth H. AYLWARD ; Raphael A. BERNIER ; Susan Y. BOOKHEIMER ; Shafali S. JESTE ; Allison JACK ; James C. MCPARTLAND ; Adam J. NAPLES ; John D. VAN HORN ; Kevin A. PELPHREY ; Sara Jane WEBB ; ACE GENDAAR NETWORK in Autism Research, 16-12 (December 2023)  

Public ISBD [article]  inAutism Research > 16-12 (December 2023) . - p.2364-2377 Titre : Frontal EEG alpha asymmetry in youth with autism: Sex differences and social-emotional correlates Type de document : texte imprimé Auteurs : Megha SANTHOSH, Auteur ; Anna KRESSE, Auteur ; Elizabeth H. AYLWARD, Auteur ; Raphael A. BERNIER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Shafali S. JESTE, Auteur ; Allison JACK, Auteur ; James C. MCPARTLAND, Auteur ; Adam J. NAPLES, Auteur ; John D. VAN HORN, Auteur ; Kevin A. PELPHREY, Auteur ; Sara Jane WEBB, Auteur ; ACE GENDAAR NETWORK, Auteur Article en page(s) : p.2364-2377 Index. décimale : PER Périodiques Résumé : Abstract In youth broadly, EEG frontal alpha asymmetry (FAA) associates with affective style and vulnerability to psychopathology, with relatively stronger right activity predicting risk for internalizing and externalizing behaviors. In autistic youth, FAA has been related to ASD diagnostic features and to internalizing symptoms. Among our large, rigorously characterized, sex-balanced participant group, we attempted to replicate findings suggestive of altered FAA in youth with an ASD diagnosis, examining group differences and impact of sex assigned at birth. Second, we examined relations between FAA and behavioral variables (ASD features, internalizing, and externalizing) within autistic youth, examining effects by sex. Third, we explored whether the relation between FAA, autism features, and mental health was informed by maternal depression history. In our sample, FAA did not differ by diagnosis, age, or sex. However, youth with ASD had lower total frontal alpha power than youth without ASD. For autistic females, FAA and bilateral frontal alpha power correlated with social communication features, but not with internalizing or externalizing symptoms. For autistic males, EEG markers correlated with social communication features, and with externalizing behaviors. Exploratory analyses by sex revealed further associations between youth FAA, behavioral indices, and maternal depression history. In summary, findings suggest that individual differences in FAA may correspond to social-emotional and mental health behaviors, with different patterns of association for females and males with ASD. Longitudinal consideration of individual differences across levels of analysis (e.g., biomarkers, family factors, and environmental influences) will be essential to parsing out models of risk and resilience among autistic youth. En ligne : https://doi.org/10.1002/aur.3032 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518 [article] Frontal EEG alpha asymmetry in youth with autism: Sex differences and social-emotional correlates [texte imprimé] / Megha SANTHOSH, Auteur ; Anna KRESSE, Auteur ; Elizabeth H. AYLWARD, Auteur ; Raphael A. BERNIER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Shafali S. JESTE, Auteur ; Allison JACK, Auteur ; James C. MCPARTLAND, Auteur ; Adam J. NAPLES, Auteur ; John D. VAN HORN, Auteur ; Kevin A. PELPHREY, Auteur ; Sara Jane WEBB, Auteur ; ACE GENDAAR NETWORK, Auteur . - p.2364-2377. in Autism Research > 16-12 (December 2023) . - p.2364-2377 Index. décimale : PER Périodiques Résumé : Abstract In youth broadly, EEG frontal alpha asymmetry (FAA) associates with affective style and vulnerability to psychopathology, with relatively stronger right activity predicting risk for internalizing and externalizing behaviors. In autistic youth, FAA has been related to ASD diagnostic features and to internalizing symptoms. Among our large, rigorously characterized, sex-balanced participant group, we attempted to replicate findings suggestive of altered FAA in youth with an ASD diagnosis, examining group differences and impact of sex assigned at birth. Second, we examined relations between FAA and behavioral variables (ASD features, internalizing, and externalizing) within autistic youth, examining effects by sex. Third, we explored whether the relation between FAA, autism features, and mental health was informed by maternal depression history. In our sample, FAA did not differ by diagnosis, age, or sex. However, youth with ASD had lower total frontal alpha power than youth without ASD. For autistic females, FAA and bilateral frontal alpha power correlated with social communication features, but not with internalizing or externalizing symptoms. For autistic males, EEG markers correlated with social communication features, and with externalizing behaviors. Exploratory analyses by sex revealed further associations between youth FAA, behavioral indices, and maternal depression history. In summary, findings suggest that individual differences in FAA may correspond to social-emotional and mental health behaviors, with different patterns of association for females and males with ASD. Longitudinal consideration of individual differences across levels of analysis (e.g., biomarkers, family factors, and environmental influences) will be essential to parsing out models of risk and resilience among autistic youth. En ligne : https://doi.org/10.1002/aur.3032 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=518

Neurophysiological correlates of holistic face processing in adolescents with and without autism spectrum disorder / Sandra NAUMANN in Journal of Neurodevelopmental Disorders, 10-1 (December 2018)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 27 p. Titre : Neurophysiological correlates of holistic face processing in adolescents with and without autism spectrum disorder Type de document : texte imprimé Auteurs : Sandra NAUMANN, Auteur ; Ulrike SENFTLEBEN, Auteur ; Megha SANTHOSH, Auteur ; James C. MCPARTLAND, Auteur ; Sara J. WEBB, Auteur Année de publication : 2018 Article en page(s) : 27 p. Langues : Anglais (eng) Mots-clés : Asd  Gamma-band activity  Holistic face processing  N170  P1 Index. décimale : PER Périodiques Résumé : BACKGROUND: Face processing has been found to be impaired in autism spectrum disorders (ASD). One hypothesis is that individuals with ASD engage in piecemeal compared to holistic face processing strategies. To investigate the role of possible impairments in holistic face processing in individuals with autism, the current study investigated behavioral and electroencephalography (EEG) correlates of face processing (P1/N170 and gamma-band activity) in adolescents with ASD and sex-, age-, and IQ-matched neurotypical controls. METHODS: Participants were presented with upright and inverted Mooney stimuli; black and white low information faces that are only perceived as faces when processed holistically. Participants indicated behaviorally the detection of a face. EEG was collected time-locked to the presentation of the stimuli. RESULTS: Adolescents with ASD perceived Mooney stimuli as faces suggesting ability to use holistic processing but displayed a lower face detection rate and slower response times. ERP components suggest slowed temporal processing of Mooney stimuli in the ASD compared to control group for P1 latency but no differences between groups for P1 amplitude and at the N170. Increases in gamma-band activity was similar during the perception of the Mooney images by group, but the ASD group showed prolonged temporal elevation in activity. CONCLUSION: Overall, our results suggest that adolescents with ASD were able to utilize holistic processing to perceive a face within the Mooney stimuli. Delays in early processing, marked by the P1, and elongated elevation in gamma activity indicate that the neural systems supporting holistic processing are slightly altered suggesting a less automatic and less efficient facial processing system. TRIAL REGISTRATION: Non-applicable. En ligne : http://dx.doi.org/10.1186/s11689-018-9244-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386 [article] Neurophysiological correlates of holistic face processing in adolescents with and without autism spectrum disorder [texte imprimé] / Sandra NAUMANN, Auteur ; Ulrike SENFTLEBEN, Auteur ; Megha SANTHOSH, Auteur ; James C. MCPARTLAND, Auteur ; Sara J. WEBB, Auteur . - 2018 . - 27 p. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 27 p. Mots-clés : Asd  Gamma-band activity  Holistic face processing  N170  P1 Index. décimale : PER Périodiques Résumé : BACKGROUND: Face processing has been found to be impaired in autism spectrum disorders (ASD). One hypothesis is that individuals with ASD engage in piecemeal compared to holistic face processing strategies. To investigate the role of possible impairments in holistic face processing in individuals with autism, the current study investigated behavioral and electroencephalography (EEG) correlates of face processing (P1/N170 and gamma-band activity) in adolescents with ASD and sex-, age-, and IQ-matched neurotypical controls. METHODS: Participants were presented with upright and inverted Mooney stimuli; black and white low information faces that are only perceived as faces when processed holistically. Participants indicated behaviorally the detection of a face. EEG was collected time-locked to the presentation of the stimuli. RESULTS: Adolescents with ASD perceived Mooney stimuli as faces suggesting ability to use holistic processing but displayed a lower face detection rate and slower response times. ERP components suggest slowed temporal processing of Mooney stimuli in the ASD compared to control group for P1 latency but no differences between groups for P1 amplitude and at the N170. Increases in gamma-band activity was similar during the perception of the Mooney images by group, but the ASD group showed prolonged temporal elevation in activity. CONCLUSION: Overall, our results suggest that adolescents with ASD were able to utilize holistic processing to perceive a face within the Mooney stimuli. Delays in early processing, marked by the P1, and elongated elevation in gamma activity indicate that the neural systems supporting holistic processing are slightly altered suggesting a less automatic and less efficient facial processing system. TRIAL REGISTRATION: Non-applicable. En ligne : http://dx.doi.org/10.1186/s11689-018-9244-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386

Resting state EEG in youth with ASD: age, sex, and relation to phenotype / Emily NEUHAUS in Journal of Neurodevelopmental Disorders, 13 (2021)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 13 (2021) Titre : Resting state EEG in youth with ASD: age, sex, and relation to phenotype Type de document : texte imprimé Auteurs : Emily NEUHAUS, Auteur ; Sarah J. LOWRY, Auteur ; Megha SANTHOSH, Auteur ; Anna KRESSE, Auteur ; Laura A. EDWARDS, Auteur ; Jack KELLER, Auteur ; Erin J. LIBSACK, Auteur ; Veronica Y. KANG, Auteur ; Adam NAPLES, Auteur ; Allison JACK, Auteur ; Shafali JESTE, Auteur ; James C. MCPARTLAND, Auteur ; Elizabeth AYLWARD, Auteur ; Raphael BERNIER, Auteur ; Susan BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; John D. VAN HORN, Auteur ; Kevin PELPHREY, Auteur ; Sara Jane WEBB, Auteur ; THE ACE GENDAAR NETWORK, Auteur Langues : Anglais (eng) Mots-clés : Adolescent  Aged  Autism Spectrum Disorder/diagnosis  Brain  Electroencephalography  Female  Humans  Male  Phenotype  Sex Characteristics  Alpha  Autism  Biomarker  Eeg  Power  Resting  Sex differences  funding from Janssen Research and Development, and receives royalties from  Guilford Press, Lambert, and Springer. The remaining authors report no  affiliations with or involvement in any organization or entity with any financial  interest in the outcome of this project. Index. décimale : PER Périodiques Résumé : BACKGROUND: Identification of ASD biomarkers is a key priority for understanding etiology, facilitating early diagnosis, monitoring developmental trajectories, and targeting treatment efforts. Efforts have included exploration of resting state encephalography (EEG), which has a variety of relevant neurodevelopmental correlates and can be collected with minimal burden. However, EEG biomarkers may not be equally valid across the autism spectrum, as ASD is strikingly heterogeneous and individual differences may moderate EEG-behavior associations. Biological sex is a particularly important potential moderator, as females with ASD appear to differ from males with ASD in important ways that may influence biomarker accuracy. METHODS: We examined effects of biological sex, age, and ASD diagnosis on resting state EEG among a large, sex-balanced sample of youth with (N = 142, 43% female) and without (N = 138, 49% female) ASD collected across four research sites. Absolute power was extracted across five frequency bands and nine brain regions, and effects of sex, age, and diagnosis were analyzed using mixed-effects linear regression models. Exploratory partial correlations were computed to examine EEG-behavior associations in ASD, with emphasis on possible sex differences in associations. RESULTS: Decreased EEG power across multiple frequencies was associated with female sex and older age. Youth with ASD displayed decreased alpha power relative to peers without ASD, suggesting increased neural activation during rest. Associations between EEG and behavior varied by sex. Whereas power across various frequencies correlated with social skills, nonverbal IQ, and repetitive behavior for males with ASD, no such associations were observed for females with ASD. CONCLUSIONS: Research using EEG as a possible ASD biomarker must consider individual differences among participants, as these features influence baseline EEG measures and moderate associations between EEG and important behavioral outcomes. Failure to consider factors such as biological sex in such research risks defining biomarkers that misrepresent females with ASD, hindering understanding of the neurobiology, development, and intervention response of this important population. En ligne : https://dx.doi.org/10.1186/s11689-021-09390-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 [article] Resting state EEG in youth with ASD: age, sex, and relation to phenotype [texte imprimé] / Emily NEUHAUS, Auteur ; Sarah J. LOWRY, Auteur ; Megha SANTHOSH, Auteur ; Anna KRESSE, Auteur ; Laura A. EDWARDS, Auteur ; Jack KELLER, Auteur ; Erin J. LIBSACK, Auteur ; Veronica Y. KANG, Auteur ; Adam NAPLES, Auteur ; Allison JACK, Auteur ; Shafali JESTE, Auteur ; James C. MCPARTLAND, Auteur ; Elizabeth AYLWARD, Auteur ; Raphael BERNIER, Auteur ; Susan BOOKHEIMER, Auteur ; Mirella DAPRETTO, Auteur ; John D. VAN HORN, Auteur ; Kevin PELPHREY, Auteur ; Sara Jane WEBB, Auteur ; THE ACE GENDAAR NETWORK, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 13 (2021) Mots-clés : Adolescent  Aged  Autism Spectrum Disorder/diagnosis  Brain  Electroencephalography  Female  Humans  Male  Phenotype  Sex Characteristics  Alpha  Autism  Biomarker  Eeg  Power  Resting  Sex differences  funding from Janssen Research and Development, and receives royalties from  Guilford Press, Lambert, and Springer. The remaining authors report no  affiliations with or involvement in any organization or entity with any financial  interest in the outcome of this project. Index. décimale : PER Périodiques Résumé : BACKGROUND: Identification of ASD biomarkers is a key priority for understanding etiology, facilitating early diagnosis, monitoring developmental trajectories, and targeting treatment efforts. Efforts have included exploration of resting state encephalography (EEG), which has a variety of relevant neurodevelopmental correlates and can be collected with minimal burden. However, EEG biomarkers may not be equally valid across the autism spectrum, as ASD is strikingly heterogeneous and individual differences may moderate EEG-behavior associations. Biological sex is a particularly important potential moderator, as females with ASD appear to differ from males with ASD in important ways that may influence biomarker accuracy. METHODS: We examined effects of biological sex, age, and ASD diagnosis on resting state EEG among a large, sex-balanced sample of youth with (N = 142, 43% female) and without (N = 138, 49% female) ASD collected across four research sites. Absolute power was extracted across five frequency bands and nine brain regions, and effects of sex, age, and diagnosis were analyzed using mixed-effects linear regression models. Exploratory partial correlations were computed to examine EEG-behavior associations in ASD, with emphasis on possible sex differences in associations. RESULTS: Decreased EEG power across multiple frequencies was associated with female sex and older age. Youth with ASD displayed decreased alpha power relative to peers without ASD, suggesting increased neural activation during rest. Associations between EEG and behavior varied by sex. Whereas power across various frequencies correlated with social skills, nonverbal IQ, and repetitive behavior for males with ASD, no such associations were observed for females with ASD. CONCLUSIONS: Research using EEG as a possible ASD biomarker must consider individual differences among participants, as these features influence baseline EEG measures and moderate associations between EEG and important behavioral outcomes. Failure to consider factors such as biological sex in such research risks defining biomarkers that misrepresent females with ASD, hindering understanding of the neurobiology, development, and intervention response of this important population. En ligne : https://dx.doi.org/10.1186/s11689-021-09390-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

The relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives / Vardan ARUTIUNIAN in Molecular Autism, 15 (2024)  

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