| Project/Area Number |
17500310
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | Kagoshima University |
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Principal Investigator |
WANG Gang Kagoshima University, Faculty of Engineering, Professor (40274831)
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| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Wataru Kagoshima University, Faculty of Engineering, Assistant Prof. (80332336)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥3,960,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥360,000)
Fiscal Year 2007: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2006: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 2005: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | opticalimaging / intrinsic signal / visual cortex / 内因性光学的計測 / 視覚皮質 / 方位選択性コラム / 信号抽出 |
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| Research Abstract |
Optical imaging based on intrinsic optical signals has been widely utilized in the study on the functional organization in the various brain areas. Due to the cortical properties and the small size of optical signals, there is always a need for a better method to extract the component responding to the stimulus driven neuronal activities. Although several methods to visualize the functional arichitectures from the intrinsic signals have been invented, none of them was taken into account of the correlation property of optical signals. In this study, we proposed a novel method for the extraction of the stimulus-dependent signals from the response images. Three criteria were used to determine the activation, the amplitude of the optical change in optical intensity, the statistical significance level of the change, and timing between the optical change and visual stimulation. The method was applied to the analysis of the orientation preference structure in cat V1. We applied this method to the visulization of orientation preference columns in cat primary visual cortex. In the activated region extracted with the proposed method, the percentage of the responsive was significantly higher than that if in the region extracted by using the ratio of the optical intensities. Also, in the region outside of the activated region, the percentage of the responsive neurons showed significantly smaller values than that if with the evaluation of the traditional method. The results demonstrate that the method proposed here is effective for the signal extraction in the optical imaging experiments. Not like the traditional differentiation method which needs two functional maps evoked by two complimentary stimuli, the proposed method provides a way for the extraction single condition maps
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