Motor signature of autism spectrum disorder in adults without intellectual impairment

被引:0
作者
An Bin Cho
Karen Otte
Irina Baskow
Felicitas Ehlen
Tolou Maslahati
Sebastian Mansow-Model
Tanja Schmitz-Hübsch
Behnoush Behnia
Stefan Roepke
机构
[1] Charité - Universitätsmedizin Berlin,Department of Psychiatry and Psychotherapy
[2] Campus Benjamin Franklin,Experimental and Clinical Research Center
[3] Motognosis GmbH,Experimental and Clinical Research Center
[4] Charité – Universitätsmedizin Berlin,Max
[5] corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin,Delbrück
[6] a cooperation between the Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association and the Charité - Universitätsmedizin Berlin,Center for Molecular Medicine
[7] Helmholtz Association (MDC),Department of Psychiatry and Psychotherapy
[8] Jüdisches Krankenhaus Berlin,NeuroCure Clinical Research Center
[9] Charité – Universitätsmedizin Berlin,undefined
[10] corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin,undefined
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Scientific Reports | / 12卷
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摘要
Motor signs such as dyspraxia and abnormal gait are characteristic features of autism spectrum disorder (ASD). However, motor behavior in adults with ASD has scarcely been quantitatively characterized. In this pilot study, we aim to quantitatively examine motor signature of adults with ASD without intellectual impairment using marker-less visual-perceptive motion capture. 82 individuals (37 ASD and 45 healthy controls, HC) with an IQ > 85 and aged 18 to 65 years performed nine movement tasks and were filmed by a 3D-infrared camera. Anatomical models were quantified via custom-made software and resulting kinematic parameters were compared between individuals with ASD and HCs. Furthermore, the association between specific motor behaviour and severity of autistic symptoms (Autism Diagnostic Observation Schedule 2, Autism Spectrum Quotient) was explored. Adults with ASD showed a greater mediolateral deviation while walking, greater sway during normal, tandem and single leg stance, a reduced walking speed and cadence, a greater arrhythmicity during jumping jack tasks and an impaired manual dexterity during finger tapping tasks (p < 0.05 and |D|> 0.48) compared to HC. Furthermore, in the ASD group, some of these parameters correlated moderately to severity of ASD symptoms. Adults with ASD seem to display a specific motor signature in this disorder affecting movement timing and aspects of balance. The data appear to reinforce knowledge about motor signs reported in children and adolescents with ASD. Also, quantitative motor assessment via visual-perceptive computing may be a feasible instrument to detect subtle motor signs in ASD and perhaps suitable in the diagnosis of ASD in the future.
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