Page 36 - MEGIN Book Of Abstracts - 2023
P. 36

Canada; Vector Institute for Artificial Intelligence, Toronto,   Keywords: Autism, Electroencephalography, Machine
            ON, Canada; Cognitive Neuroscience Unit, School of Psychol-  learning, Magnetoencephalography, Neurophysiology,
            ogy, Deakin University, Geelong, Australia; Insitute for Health   Review, Support vector machines, Systematic
            and Sport, Victoria University, Melbourne, Australia; Centre for
            Addiction and Mental Health, Toronto, Canada; Department   Progress in neuro-psychopharmacology & biological
            of Psychiatry, University of Toronto, Toronto, ON, Canada;   psychiatry (2023), Vol. 123 (36574922) (0 citations)
            Temerty Centre for Therapeutic Brain Intervention, Centre
            for Addiction and Mental Health, Toronto, ON, Canada;
            Centre for Addiction and Mental Health, Toronto, Canada;   Neuromagnetic 40 Hz Auditory Steady-State
            Department of Psychiatry, University of Toronto, Toronto, ON,   Response in the left auditory cortex is related to
            Canada; Azrieli Adult Neurodevelopmental Centre, Centre for   language comprehension in children with Autism
            Addiction and Mental Health, Toronto, ON, Canada; Temerty   Spectrum Disorder (2023)
            Centre for Therapeutic Brain Intervention, Centre for Addic-
            tion and Mental Health, Toronto, ON, Canada. Electronic                     Arutiunian, Vardan; Arcara, Giorgio; Buyanova, Irina;
            address: [email protected]                  Davydova, Elizaveta; Pereverzeva, Darya; Sorokin,
                                                               Alexander; Tyushkevich, Svetlana; Mamokhina, Uliana;
            ABSTRACT There are growing application of machine   Danilina, Kamilla; Dragoy, Olga
            learning models to study the intricacies of non-linear
            and non-stationary characteristics of electroencepha-  Center for Language and Brain, HSE University, Moscow,
            lography (EEG) and magnetoencephalography (MEG)    Russia. Electronic address: [email protected];
            data in neurobiologically complex and heterogeneous   IRCCS San Camillo Hospital, Venice, Italy; Federal Resource
            conditions such as autism spectrum disorder (ASD).   Center for ASD, Moscow State University of Psychology and
            Such tools have potential diagnostic applications, and   Education, Moscow, Russia; Chair of Differential Psychology
            given the highly heterogeneous presentation of ASD,   and Psychophysiology, Moscow State University of Psychol-
            might prove fruitful in early detection and therefore   ogy and Education, Moscow, Russia; Federal Resource Center
            could facilitate very early intervention. We conducted   for ASD, Moscow State University of Psychology and Educa-
            a systematic review (PROSPERO ID#CRD42021257438)   tion, Moscow, Russia; Haskins Laboratories, New Haven, CT,
            by searching PubMed, EMBASE, and PsychINFO for ma-  United States of America; Center for Language and Brain, HSE
            chine learning approaches for EEG and MEG analyses   University, Moscow, Russia; Institute of Linguistics, Russian
            in ASD. Thirty-nine studies were identified, of which   Academy of Sciences, Moscow, Russia
            the majority (18) used support vector machines for
            classification; other successful methods included deep   ABSTRACT Language impairment is comorbid in most
            learning. Thirty-seven studies were found to employ   children with Autism Spectrum Disorder (ASD), but its
            EEG and two were found to employ MEG. This system-  neural mechanisms are still poorly understood. Some
            atic review indicate that machine learning methods   studies hypothesize that the atypical low-level sensory
            can be used to classify ASD, predict ASD diagnosis in   perception in the auditory cortex accounts for the
            high-risk infants as early as 3 months of age, predict   abnormal language development in these children.
            ASD symptom severity, and classify states of cognition   One of the potential non-invasive measures of such
            in ASD with high accuracy. Replication studies testing   low-level perception can be the cortical gamma-band
            validity, reproducibility and generalizability in tandem   oscillations registered with magnetoencephalography
            with randomized controlled trials in ASD populations   (MEG), and 40 Hz Auditory Steady-State Response
            will likely benefit the field.                     (40 Hz ASSR) is a reliable paradigm for eliciting auditory
                                                               gamma response. Although there is research in chil-
                                                               dren with and without ASD using 40 Hz ASSR, nothing
                                                               is known about the relationship between this audi-
                                                               tory response in children with ASD and their language







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