A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals / Katsumi WATANABE ; Joydeep BHATTACHARYA ; Goutam SAHA in Journal of Autism and Developmental Disorders, 53-12 (December 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-12 (December 2023) . - p.4830-4848 Titre : A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals Type de document : Texte imprimé et/ou numérique Auteurs : Katsumi WATANABE, Auteur ; Joydeep BHATTACHARYA, Auteur ; Goutam SAHA, Auteur Article en page(s) : p.4830-4848 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : In this study, we aimed to find biomarkers of autism in young children. We recorded magnetoencephalography (MEG) in thirty children (4-7 years) with autism and thirty age, gender-matched controls while they were watching cartoons. We focused on characterizing neural oscillations by amplitude (power spectral density, PSD) and phase (preferred phase angle, PPA). Machine learning based classifier showed a higher classification accuracy (88%) for PPA features than PSD features (82%). Further, by a novel fusion method combining PSD and PPA features, we achieved an average classification accuracy of 94% and 98% for feature-level and score-level fusion, respectively. These findings reveal discriminatory patterns of neural oscillations of autism in young children and provide novel insight into autism pathophysiology. En ligne : https://doi.org/10.1007/s10803-022-05767-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515 [article] A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals [Texte imprimé et/ou numérique] / Katsumi WATANABE, Auteur ; Joydeep BHATTACHARYA, Auteur ; Goutam SAHA, Auteur . - p.4830-4848. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-12 (December 2023) . - p.4830-4848 Index. décimale : PER Périodiques Résumé : In this study, we aimed to find biomarkers of autism in young children. We recorded magnetoencephalography (MEG) in thirty children (4-7 years) with autism and thirty age, gender-matched controls while they were watching cartoons. We focused on characterizing neural oscillations by amplitude (power spectral density, PSD) and phase (preferred phase angle, PPA). Machine learning based classifier showed a higher classification accuracy (88%) for PPA features than PSD features (82%). Further, by a novel fusion method combining PSD and PPA features, we achieved an average classification accuracy of 94% and 98% for feature-level and score-level fusion, respectively. These findings reveal discriminatory patterns of neural oscillations of autism in young children and provide novel insight into autism pathophysiology. En ligne : https://doi.org/10.1007/s10803-022-05767-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515

Individual differences in autistic traits predict the perception of direct gaze for males, but not for females / Daisuke MATSUYOSHI in Molecular Autism, (February 2014)  

Public ISBD [article]  inMolecular Autism > (February 2014) Titre : Individual differences in autistic traits predict the perception of direct gaze for males, but not for females Type de document : Texte imprimé et/ou numérique Auteurs : Daisuke MATSUYOSHI, Auteur ; Kana KURAGUCHI, Auteur ; Yumiko TANAKA, Auteur ; Seina UCHIDA, Auteur ; Hiroshi ASHIDA, Auteur ; Katsumi WATANABE, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Despite the emphasis of autism spectrum disorders as a continuum of atypical social behaviors and the sexual heterogeneity of phenotypic manifestations, whether gaze processing constitutes an autistic endophenotype in both sexes remains unclear. Using the Autism-Spectrum Quotient and a psychophysical approach in a normal population (N=128), here we demonstrated that individual differences in autistic traits predicted direct-gaze perception for males, but not for females. Our findings suggest that direct-gaze perception may not constitute an autistic endophenotype in both sexes, and highlight the importance of sex differences when considering relationships between autistic traits and behaviors. En ligne : http://dx.doi.org/10.1186/2040-2392-5-12 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227 [article] Individual differences in autistic traits predict the perception of direct gaze for males, but not for females [Texte imprimé et/ou numérique] / Daisuke MATSUYOSHI, Auteur ; Kana KURAGUCHI, Auteur ; Yumiko TANAKA, Auteur ; Seina UCHIDA, Auteur ; Hiroshi ASHIDA, Auteur ; Katsumi WATANABE, Auteur. Langues : Anglais (eng) in Molecular Autism > (February 2014) Index. décimale : PER Périodiques Résumé : Despite the emphasis of autism spectrum disorders as a continuum of atypical social behaviors and the sexual heterogeneity of phenotypic manifestations, whether gaze processing constitutes an autistic endophenotype in both sexes remains unclear. Using the Autism-Spectrum Quotient and a psychophysical approach in a normal population (N=128), here we demonstrated that individual differences in autistic traits predicted direct-gaze perception for males, but not for females. Our findings suggest that direct-gaze perception may not constitute an autistic endophenotype in both sexes, and highlight the importance of sex differences when considering relationships between autistic traits and behaviors. En ligne : http://dx.doi.org/10.1186/2040-2392-5-12 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227

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