Face perception, attention, and memory as predictors of social change in autistic children / Sara Jane WEBB in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Face perception, attention, and memory as predictors of social change in autistic children Type de document : texte imprimé Auteurs : Sara Jane WEBB, Auteur ; Brian KWAN, Auteur ; Raphael BERNIER, Auteur ; Katarzyna CHARWARSKA, Auteur ; Geraldine DAWSON, Auteur ; James DZIURA, Auteur ; Susan FAJA, Auteur ; Gerhard HELLMANN, Auteur ; Shafali JESTE, Auteur ; Natalia KLEINHANS, Auteur ; April LEVIN, Auteur ; Adam NAPLES, Auteur ; Maura SABATOS-DEVITO, Auteur ; Damla SENTURK, Auteur ; Frederick SHIC, Auteur ; Catherine SUGAR, Auteur ; James C. MCPARTLAND, Auteur ; AUTISM BIOMARKERS CONSORTIUM FOR CLINICAL TRIALS, Auteur Langues : Anglais (eng) Mots-clés : Asd  Biomarkers  Erp  Eye tracking  Face memory  Social attention  Social cognition  Social perception  the Declaration of Helsinki, the study was reviewed and approved by the Yale  Institutional Review Board which served as Central Institutional Review Board for  the study. Written informed consent was provided by the participants' legal  guardian  assent was provided by the child participant. While not a clinical  trial, the study was registered with ClinicalTrials.gov (NCT02996669). Consent  for publication: Not applicable. Competing interests: Geraldine Dawson is on the  Scientific Advisory Boards of Tris Pharma and the Nonverbal Learning Disability  Project, a consultant for Apple, Inc, and receives book royalties from Guilford  Press, Springer, and Oxford University Press. Shafali Jeste is a consultant for  Roche Pharmaceutical Company. James C. McPartland consults or has consulted with  Customer Value Partners, Bridgebio, Determined Health, Apple, and BlackThorn  Therapeutics, has received research funding from Janssen Research and  Development, serves on the Scientific Advisory Boards of Pastorus and Modern  Clinics, and receives royalties from Guilford Press, Lambert, Oxford, and  Springer. Frederick Shic is a consultant for Roche Pharmaceutical Company and  Janssen Research. All authors declare that the research was conducted in the  absence of any commercial or financial relationships that could be construed as a  potential competing interest. Index. décimale : PER Périodiques Résumé : OBJECTIVE: Social perception and attention markers have been identified that, on average, differentiate autistic from non-autistic children. However, little is known about how these markers predict behavior over time at both short and long time intervals. METHODS: We conducted a large multisite, naturalistic study of 6- to 11-year-old children diagnosed with ASD (n = 214). We evaluated three markers of social processing: social perception via the ERP N170 Latency to Upright Faces; social attention via the Eye Tracking (ET) OMI (Oculomotor Index of Gaze to Human Faces) that captures percent looking to faces from three tasks; and social cognition via the NEPSY Face Memory task. Each was evaluated in predicting social ability and autistic social behaviors derived from parental interviews and questionnaires about child behavior at + 6 months (T3) and + 4 years (T4). RESULTS: Adjusting for baseline performance, time between measurements, age, and sex, our results suggest differential prognostic relations for each of the markers. The ERP N170 Latency to Upright Faces showed limited prognostic relations, with a significant relation to short term changes in face memory. The ET OMI was related to face memory over both short and long term. Both the ET OMI and Face Memory predicted long-term autistic social behavior scores. CONCLUSIONS: In the context of a large-scale, rigorous evaluation of candidate markers for use in future clinical trials, our primary markers had significant but small-effect prognostic capability. The ET OMI and Face Memory showed significant long-term predictive relations, with increased visual attention to faces and better face memory at baseline related to increased social approach and decreased autistic social behaviors 4 years later. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-025-09646-0. En ligne : https://dx.doi.org/10.1186/s11689-025-09646-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Face perception, attention, and memory as predictors of social change in autistic children [texte imprimé] / Sara Jane WEBB, Auteur ; Brian KWAN, Auteur ; Raphael BERNIER, Auteur ; Katarzyna CHARWARSKA, Auteur ; Geraldine DAWSON, Auteur ; James DZIURA, Auteur ; Susan FAJA, Auteur ; Gerhard HELLMANN, Auteur ; Shafali JESTE, Auteur ; Natalia KLEINHANS, Auteur ; April LEVIN, Auteur ; Adam NAPLES, Auteur ; Maura SABATOS-DEVITO, Auteur ; Damla SENTURK, Auteur ; Frederick SHIC, Auteur ; Catherine SUGAR, Auteur ; James C. MCPARTLAND, Auteur ; AUTISM BIOMARKERS CONSORTIUM FOR CLINICAL TRIALS, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Asd  Biomarkers  Erp  Eye tracking  Face memory  Social attention  Social cognition  Social perception  the Declaration of Helsinki, the study was reviewed and approved by the Yale  Institutional Review Board which served as Central Institutional Review Board for  the study. Written informed consent was provided by the participants' legal  guardian  assent was provided by the child participant. While not a clinical  trial, the study was registered with ClinicalTrials.gov (NCT02996669). Consent  for publication: Not applicable. Competing interests: Geraldine Dawson is on the  Scientific Advisory Boards of Tris Pharma and the Nonverbal Learning Disability  Project, a consultant for Apple, Inc, and receives book royalties from Guilford  Press, Springer, and Oxford University Press. Shafali Jeste is a consultant for  Roche Pharmaceutical Company. James C. McPartland consults or has consulted with  Customer Value Partners, Bridgebio, Determined Health, Apple, and BlackThorn  Therapeutics, has received research funding from Janssen Research and  Development, serves on the Scientific Advisory Boards of Pastorus and Modern  Clinics, and receives royalties from Guilford Press, Lambert, Oxford, and  Springer. Frederick Shic is a consultant for Roche Pharmaceutical Company and  Janssen Research. All authors declare that the research was conducted in the  absence of any commercial or financial relationships that could be construed as a  potential competing interest. Index. décimale : PER Périodiques Résumé : OBJECTIVE: Social perception and attention markers have been identified that, on average, differentiate autistic from non-autistic children. However, little is known about how these markers predict behavior over time at both short and long time intervals. METHODS: We conducted a large multisite, naturalistic study of 6- to 11-year-old children diagnosed with ASD (n = 214). We evaluated three markers of social processing: social perception via the ERP N170 Latency to Upright Faces; social attention via the Eye Tracking (ET) OMI (Oculomotor Index of Gaze to Human Faces) that captures percent looking to faces from three tasks; and social cognition via the NEPSY Face Memory task. Each was evaluated in predicting social ability and autistic social behaviors derived from parental interviews and questionnaires about child behavior at + 6 months (T3) and + 4 years (T4). RESULTS: Adjusting for baseline performance, time between measurements, age, and sex, our results suggest differential prognostic relations for each of the markers. The ERP N170 Latency to Upright Faces showed limited prognostic relations, with a significant relation to short term changes in face memory. The ET OMI was related to face memory over both short and long term. Both the ET OMI and Face Memory predicted long-term autistic social behavior scores. CONCLUSIONS: In the context of a large-scale, rigorous evaluation of candidate markers for use in future clinical trials, our primary markers had significant but small-effect prognostic capability. The ET OMI and Face Memory showed significant long-term predictive relations, with increased visual attention to faces and better face memory at baseline related to increased social approach and decreased autistic social behaviors 4 years later. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-025-09646-0. En ligne : https://dx.doi.org/10.1186/s11689-025-09646-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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

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