2021 Fiscal Year Final Research Report
Neural Network related to Motor Dysfunctions in Children with Autism Spectrum Disorders Using Child-customized MEG
Project/Area Number |
20K16622
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 52030:Psychiatry-related
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Research Institution | Kanazawa University |
Principal Investigator |
AN KYUNGMIN 金沢大学, 子どものこころの発達研究センター, 特任助教 (80866054)
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Project Period (FY) |
2020-04-01 – 2022-03-31
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Keywords | 自閉スペクトラム症 / 幼児用脳磁図 / 神経ネットワーク / 運動機能の拙劣さ |
Outline of Final Research Achievements |
Autism spectrum disorder (ASD) is characterized by social impairment, restricted interests, and repetitive behaviour. Parallel to these symptoms of ASD, low motor functions are known as one of the key characteristics of ASD. Individuals with ASD are known to have alterations not only in local brain function but also in the brain networks. In this study, we investigated the neural network related to the motor functions in typically developing children and children with ASD. We calculated the phase-amplitude coupling during a motor task and revealed that children with ASD have altered neural networks during motor functions. In January 2021, we published these results in Neuroimage: Clinical, which is one of the top leading journals in this field.
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Free Research Field |
脳神経科学
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Academic Significance and Societal Importance of the Research Achievements |
本研究では自閉児の運動機能の拙劣さに関わる神経ネットワークの変化を明らかにするために、 健常児19名・ASD児18名から子どもに優しい小児用MEGを用いて運動遂行課題中の脳活動を測定した。運動遂行課題中の位相振幅カップリングを調べ、運動遂行中の神経ネットワークを明らかにした。その結果、自閉症児の運動機能に関わる神経セットワークに変化が見られた。本研究の成果はASDの運動機能の拙劣さを説明する脳のメカニズムの解明につながり、小児ASDの新たなバイオマーカーの発見につながる。
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