A Newly Devised Software System for Three-Dimensional Imaging Analysis of Electrical Activity in Brain

新设计的脑电活动三维成像分析软件系统

• 批准号: 06557027
• 负责人: KOYAMA Akio
• 金额: $ 7.74万
• 依托单位: Hokkaido University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Developmental Scientific Research (B)
• 财政年份: 1994
• 资助国家: 日本
• 起止时间: 1994 至 1995
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-06557027/
• 关键词: Image analysis; Visualization; Electrical anctivity in brain; Time series analysis; Neural network; 時系列解除

This study intended to develop a newly devised software sysytem for three dimensional imaging analysis of electrical activity in the brain.The role of the software system was to represent two dimensinal topographical mappings from 12 channels EEG recording data using maximum entropy spectral analysis (MEM), and the three-dimensional (3D) graphics compressed of these many topographical mappings accompanying time process. The software system was mainly devised from the combination of two application programs on the market, MemCalc system (for MEM and chaos analysis) and Voxel View system (for 3D imaging analysis), and an original program for compiling the data format.The first step results confirmed that MEM analysis had a superior performance for detecting sufficient power spectrum from biological time series data without any kinds of modification to the native data, and that successful topographical mappings with higher resolution and stability were obtained using MEM than using the popular FFT analysis. Further, as a result of the second step, a new software system providing clear 3D images compressed many mapping data sets drawn as X-axis and Y-axis adding time process as Z-axis was developed. To evaluate the performance of resolution of this system, we demonstrated 3D imaging analysis of time series graphical data of electrical activities in a rat brain using other programs on the market.These results suggest that our new system is useful to recognize clearly and instantly localized changes of electrical activities in the brain during the time process by only a few graphics, and has the possibility for application of nonlinear analysis for clarifying the mechanisms of time series changes.

本研究旨在开发一种新的脑电活动三维成像分析软件系统，该软件系统的作用是利用最大熵谱分析（MEM）技术对12通道脑电记录数据进行二维地形图表示，并将这些地形图随时间过程压缩成三维图形。软件系统主要是结合市场上的两个应用程序MemCalc系统而设计的（用于MEM和混沌分析）和Voxel View系统（用于3D成像分析），第一步的结果证实，MEM分析具有上级性能，可以从生物时间序列数据中检测出足够的功率谱，而无需对原始数据进行任何修改。数据，并成功地获得了更高的分辨率和稳定性的地形映射使用MEM比使用流行的FFT分析。此外，作为第二步的结果，开发了一种新的软件系统，该软件系统提供清晰的3D图像，该图像压缩了许多绘制为X轴和Y轴的映射数据集，并添加了时间过程作为Z轴。为了评价该系统的分辨率性能，我们使用市场上的其他程序演示了大鼠脑电活动时间序列图形数据的3D成像分析，这些结果表明，我们的新系统是有用的，只需几个图形就可以清晰地识别出大脑中的电活动在时间过程中的局部变化。并具有应用非线性分析阐明时间序列变化机理的可能性。

项目成果

Koyama, A.: "A digital imaging analysis system for visualization of ultra rapid response in neural activities" News of central research devision. 5. 9-13 (1994)

小山，A.：“用于神经活动超快速反应可视化的数字成像分析系统”中央研究部门的新闻。

神山昭男: "神経活動の高速な反応を視覚化する光量差分画像解析システム" 中研ニュース. 5. 9-13 (1994)

Akio Kamiyama：“用于可视化神经活动快速反应的光强度差分图像分析系统”《中研新闻》5. 9-13 (1994)。

神山昭男: "ノンレム睡眠時における脳波α波ゆらぎと心拍R-R変動との関連" 第25回日本脳波,筋電図学会学術大会プログラム,予稿集. 193- (1995)

Akio Kamiyama：“非快速眼动睡眠期间α脑电波波动与心率R-R波动之间的关系”第25届日本脑电图和肌电图学会学术会议计划，会议记录193-（1995）。

Koyama, A et al.: "Applications of maximum entropy power spectral analysis to EEG topohraphic mapping" Proc. of the annual meeting '96 of the Japanese Society of Medical Imaging Technology. 15 (in press). (1996)

Koyama, A 等人：“最大熵功率谱分析在 EEG 地形图绘制中的应用”Proc。

神山 昭男: "神経活動の高速な反応を視覚化する光量差分デヂタル画像解析システム" 中研ニュース(北海道大学医学部中央研究部). 5. 9-13 (1994)

Akio Kamiyama：“用于可视化神经活动快速反应的光差数字图像分析系统”Chuuken News（北海道大学医学院中央研究部）。