利用脑磁图数据的虚拟电极计算注意缺陷与多动障碍脑区相关性

Q3 Mathematics
M. Ustinin, A. Boyko, S. Rykunov
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引用次数: 0

摘要

提出了一种基于脑磁图数据分析研究脑区相关性的新方法。利用虚电极法生成相关分析所需的时间序列。首先,将被确诊为注意缺陷和多动障碍的受试者的多通道时间序列转换为离散网格上磁场源结构的功能层析图-空间分布;这个结构是由傅立叶变换得到的所有初等振荡的反问题解提供的。每个频率产生位于三维网格节点的基本电流偶极子。虚拟电极包含空间部分,产生所研究的活性。该活度的时间序列由虚拟电极覆盖的所有源的光谱功率的总和获得。为了验证该方法,在本文中,我们选择了大脑的十个基本隔室,包括额叶、顶叶、枕叶等。每个隔室都包含在虚拟电极中,从受试者的MRI中获得。我们研究了与四种大脑节律相对应的频段间的相关性:θ、α、β和γ。计算每个电极在300秒内的时间序列。在1秒历元计算幂级数之间的相关系数,然后求平均值。结果用矩阵表示。该方法可用于研究大脑任意部分在任何光谱波段的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of the Brain Compartments in the Attention Deficit and Hyperactivity Disorder Calculated by the Method of Virtual Electrodes from Magnetic Encephalography Data
New method to study the correlation of the human brain compartments based on the magnetic encephalography data analysis was proposed. The time series for the correlation analysis are generated by the method of virtual electrodes. First, the multichannel time series of the subject with confirmed attention deficit and hyperactivity disorder are transformed into the functional tomogram - spatial distribution of the magnetic field sources structure on the discrete grid. This structure is provided by the inverse problem solution for all elementary oscillations, found by the Fourier transform. Each frequency produces the elementary current dipole located in the node of the 3D grid. The virtual electrode includes the part of space, producing the activity under study. The time series for this activity is obtained by the summation of the spectral power of all sources, covered by the virtual electrode. To test the method, in this article we selected ten basic compartments of the brain, including frontal lobe, parietal lobe, occipital lobe and others. Each compartment was included in the virtual electrode, obtained from the subjects' MRI. We studied the correlation between compartments in the frequency bands, corresponding to four brain rhythms: theta, alpha, beta, and gamma. The time series for each electrode were calculated for the period of 300 seconds. The correlation coefficient between power series was calculated on the 1 second epoch and then averaged. The results were represented as matrices. The method can be used to study correlations of the arbitrary parts of the brain in any spectral band.
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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