脑磁图数据的频率-模式功能层析成像为研究人类大脑组织提供了新方法。
Frequency-pattern functional tomography of magnetoencephalography data allows new approach to the study of human brain organization.
机构信息
Department of Neuroscience and Physiology, New York University School of Medicine New York, NY, USA.
Department of Neuroscience and Physiology, New York University School of Medicine New York, NY, USA ; Institute of Mathematical Problems of Biology, RAS, Pushchino Moscow Region, Russia.
出版信息
Front Neural Circuits. 2014 Apr 29;8:43. doi: 10.3389/fncir.2014.00043. eCollection 2014.
A method based on a set of new theorems for the analysis of multichannel time series is described, based on precise Fourier transform and coherence analysis of the restored signals from a detailed set of frequency components. Magnetic field recordings of spontaneous and evoked activity by means of magnetic encephalography demonstrated that multichannel precise Fourier spectrum contains a very large set of harmonics with high coherence. The inverse problem can be solved with great precision based on coherent harmonics, so the technique is a promising platform of general analysis in brain imaging. The analysis method makes it possible to reconstruct sites and timing of electrical activity generated by both spontaneous and evoked brain function at different depths in the brain in the millisecond time range.
本文描述了一种基于一组新定理的多通道时序列分析方法，该方法基于从详细频率分量集恢复信号的精确傅里叶变换和相干分析。通过磁脑图对自发和诱发活动的磁场记录表明，多通道精确傅里叶谱包含一组具有高相干性的非常大的谐波。基于相干谐波可以非常精确地解决逆问题，因此该技术是脑成像中通用分析的一个很有前途的平台。该分析方法使得重建由自发和诱发脑功能在大脑不同深度产生的电活动的部位和时间成为可能，时间范围在毫秒级。
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