| Project/Area Number |
26280109
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
尾家 慶彦 兵庫医科大学, 医学部, 助教 (50396470)
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| Co-Investigator(Renkei-kenkyūsha) |
OKU Yoshitaka 兵庫医科大学, 医学部, 教授 (20252512)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥14,560,000 (Direct Cost: ¥11,200,000、Indirect Cost: ¥3,360,000)
Fiscal Year 2016: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
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| Keywords | 生体イメージングデータ時空間解析 / 神経情報学 / ニューロインフォマティクス / 自励的同期活動 / 呼吸中枢 / 抑制性ニューロン / カルシウムイメージング / 時空間解析 |
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| Outline of Final Research Achievements |
In this study, we have developed a preprocessing system for semiautomatic detection of active neurons and astrocytes position and automatic identification method of neural types based on a motion artifact correction technique of calcium imaging data that recorded the activity of neurons and astrocytes, a spatiotemporal smoothing method and an image binarization method. Then, we detected inspiratory cells among the active neurons and astrocytes using time-delayed cross correlation analysis and estimated the causality between cells using autoregressive model with exogenous input and a multivariate autoregressive model based approaches. Though it is necessary to evaluated the goodness of fit when applying these models, the estimated causality was found to be valid when comparing it with the data before and after artificially modifying the network structure among cells,.
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