Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients / A. DAHAN in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Titre : Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients Type de document : Texte imprimé et/ou numérique Auteurs : A. DAHAN, Auteur ; Y. A. DUBNOV, Auteur ; A. Y. POPKOV, Auteur ; I. GUTMAN, Auteur ; H. G. PROBOLOVSKI, Auteur Article en page(s) : p.3380-3390 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ?-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients [Texte imprimé et/ou numérique] / A. DAHAN, Auteur ; Y. A. DUBNOV, Auteur ; A. Y. POPKOV, Auteur ; I. GUTMAN, Auteur ; H. G. PROBOLOVSKI, Auteur . - p.3380-3390. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ?-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

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