Development of neuroimaging-based, translatable biomarkers applicable to both human and mouse
Project/Area Number |
25461752
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Psychiatric science
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Research Institution | National Institute of Radiological Sciences (2015) The University of Tokyo (2013-2014) |
Principal Investigator |
Yahata Noriaki 国立研究開発法人放射線医学総合研究所, 分子イメージング研究センター, 研究員 (70409150)
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Co-Investigator(Renkei-kenkyūsha) |
KASAI Kiyoto 東京大学, 医学部附属病院, 教授 (80322056)
JINDE Seiichiro 東京大学, 医学部附属病院, 講師 (30376454)
TANAKA Shinji 東京大学, 医学部, 助教 (60548494)
AOKI Ichio 放射線医学総合研究所, 分子イメージング研究センター, チームリーダー (10319519)
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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 |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | 脳・神経 / 精神疾患 / 安静時脳機能画像 / 自発的脳活動 / 機能的結合 / 自閉症 / 疾患モデル動物 / 機械学習 / 脳画像 |
Outline of Final Research Achievements |
We aimed to establish a neuroimaging-based biomarker that allows quantitative characterization of autism in the mouse-to-human translational research. Specifically, by using magnetic resonance imaging, we conducted longitudinal measurements of mouse brains (C57BL/6J) and thereby explored differential characteristics of the structure and spontaneous activity between autism model and wild-type mice. Conducting voxel-based morphometry on the structural images, inter-regional functional connectivity analysis on the resting-state functional images, as well as comparison of these findings with independent human studies, we have identified that gray matter volume and functional connectivity involving the limbic system through basal ganglia are candidate biomarkers of autism that are common to both human and mouse. Future investigation on their relationship with autism-specific behavioral phenotypes (such as socio-communicative deficits) is required to further clarify the clinical implication.
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Report
(4 results)
Research Products
(10 results)
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[Journal Article] A small number of abnormal brain connections predicts adult autism spectrum disorder2016
Author(s)
Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y, Kuwabara H, Kuroda M, Yamada T, Megumi F, Imamizu H, Náñez JE Sr, Takahashi H, Okamoto Y, Kasai K, Kato N, Sasaki Y, Watanabe T, Kawato M
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Journal Title
Nature Communications
Volume: 7
Pages: 11254
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
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[Presentation] A machine-learning-based study on the neural substrates of autism spectrum disorder using resting-state fMRI.2014
Author(s)
Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M,. Kawakubo, Y., Kuwabara, H., Kuroda, M., Yamada, T., Kato, N., Sasaki, Y., Watanabe, T., Kasai, K. & Kawato, M.
Organizer
第36回日本生物学的精神医学会
Place of Presentation
奈良
Year and Date
2014-09-30
Related Report
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[Presentation] A machine-learning-based investigation on the neural substrates of autism spectrum disorder using resting-state fMRI.2014
Author(s)
Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M,. Kawakubo, Y., Kuwabara, H., Kuroda, M., Yamada, T., Kato, N., Sasaki, Y., Watanabe, T., Kasai, K. & Kawato, M.
Organizer
第37回日本神経科学大会
Place of Presentation
横浜
Year and Date
2014-09-12
Related Report
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[Presentation] A machine-learning-based biomarker for autism spectrum disorder using resting-state functional MRI.2013
Author(s)
Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M., Kawakubo, Y., Yamada, T., Sasaki, Y., Kato, N., Watanabe, T., Kasai, K. & Kawato, K.
Organizer
11th World Congress of Biological Psychiatry (WFSBP)
Place of Presentation
京都
Year and Date
20130624-20130624
Related Report
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[Presentation] A machine-learning-based biomarker for autism spectrum disorder using resting-state functional MRI.2013
Author(s)
Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M., Kawakubo, Y., Yamada, T., Sasaki, Y., Kato, N., Watanabe, T., Kasai, K. & Kawato, K.
Organizer
第36回日本神経科学大会(Neuro2013)
Place of Presentation
京都
Year and Date
20130623-20130623
Related Report