Development of a method of analyzing neural sources from a small number of magnetoencephalographic trial data and its application to real data
| Project/Area Number |
24500401
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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 |
Neuroscience in general
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| Research Institution | National Institute of Information and Communications Technology |
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Principal Investigator |
FUJIMAKI Norio 独立行政法人情報通信研究機構, 脳情報通信融合研究センター脳機能計測研究室, マネージャー (80359083)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | 脳磁界 / 少数試行 / 脳活動源推定 / 言語処理 / 意味処理 / 脳実形状 / シミュレーション / 脳活動源位置 / 言語意味処理 |
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| Outline of Final Research Achievements |
We developed an analysis method to estimate neural sources from magnetoencephalographic (MEG) data that measure activities of human brain. The method is to be applied to the data, in which the strengths of neural sources vary as the parameters of presented stimuli, such as semantic distance, but the locations do not.
The method estimates the locations from many-trial-average data and the strengths from each of few-trial-average data, to show the dependence of strength on the stimulus parameters.
We evaluated the accuracy of estimating the source strengths by a realistic simulation, and suceeded in detecting the significant dependence by applying the method to an actual linguistic MEG data.
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Report
(4 results)
Research Products
(6 results)
