| Project/Area Number |
25461755
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Psychiatric science
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| Research Institution | Kanazawa University (2014-2015)
University of Fukui (2013) |
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Principal Investigator |
Takahashi Tetsuya 金沢大学, 子どものこころの発達研究センター, 准教授 (00377459)
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| Co-Investigator(Kenkyū-buntansha) |
Kawatani Masao 福井大学, 医学部付属病院, 講師 (10362047)
Ueno Kanji 福井大学, 医学部付属病院, 医員 (50600152)
Okazaki Ryoko 福井大学, 医学部付属病院, 医員 (90647778)
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| Co-Investigator(Renkei-kenkyūsha) |
Ishitobi Makoto 国立精神神経センター, 室長 (50464053)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 自閉性障害 / 神経ネットワーク / 脳波・脳磁図 / 非線形理論 / グラフ理論 / 自閉症スペクトラム障害 / 脳内神経ネットワーク障害 / 非線形複雑性理論 / マルチスケールエントロピー解析 / スモールワールドネス / 脳波 / 脳磁図 / 非線形解析 / ﾏﾙﾁｽｹｰﾙｴﾝﾄﾛﾋﾟｰ / 神経ネットワーク障害 |
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| Outline of Final Research Achievements |
Aberrant neural network lies at the heart of autism spectrum disorders (ASD). Nonlinear theory and graph theory approaches to EEG and MEG data have provided a useful framework to study functional neural networks architecture. Regarding these two theories, we aimed to characterize the neural network alterations in ASD.
Results suggested that evaluation of EEG complexity offers a useful therapeutic assessment of ASD (Okazaki et al., 2015). Additionally, enhanced brain development (MEG signal variability) (Takahashi et al., 2016) and hyper-efficiency (higher small-worldness) (Takahashi et al., Submitted) were observed in children with ASD.
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