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Détail de l'auteur
Auteur H. G. PROBOLOVSKI |
Documents disponibles écrits par cet auteur (1)
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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)
[article]
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
in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390[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