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2017 Fiscal Year Final Research Report

Development of a predicting system for children with ADHD

Research Project

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Project/Area Number 15H05405
Research Category

Grant-in-Aid for Young Scientists (A)

Allocation TypeSingle-year Grants
Research Field Special needs education
Research InstitutionNational Center of Neurology and Psychiatry

Principal Investigator

yasumura akira  国立研究開発法人国立精神・神経医療研究センター, 精神保健研究所 知的障害研究部, 研究生 (60723468)

Research Collaborator INAGAKI Masumi  
NAKAGAWA Eiji  
YAMASHITA Yushiro  
AIHARA Masao  
MIYAJIMA Tasuku  
OMORI Mikimasa  
FUKUDA Ayako  
TACHIMORI Hisateru  
YASUMURA Yukiko  
Project Period (FY) 2015-04-01 – 2018-03-31
Keywords発達障害 / ADHD / 機械学習 / 抑制機能 / 前頭前野 / 小児 / 診断補助
Outline of Final Research Achievements

The researchers devised a method to predict the severity of children with attention deficit / hyperactivity disorder (ADHD) among developmental disorders using brain function measurement, and have applied for international patent (US). Then, in order to search for ADHD biomarkers, the diagnostic prediction accuracy was examined by applying machine learning to behavior during inhibition task and frontal cerebral blood flow dynamics. As a result, accuracy of sensitivity 88.7%, specificity 83.8%, area under the receiver operation characteristic curve 0.90 was obtained. It was shown that the evaluation method of restraint task using machine learning has high utility as diagnostic aid for children with ADHD. Research results were published in international scientific journals.

Free Research Field

認知神経科学

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Published: 2019-03-29  

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