Non-invasive detection of high gamma band activity during motor imagery.
Non-invasive detection of high gamma band activity during motor imagery.
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DOI：
10.3389/fnhum.2014.00817
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发表时间：
2014
影响因子：
2.9
通讯作者：
Darvas F
中科院分区：
文献类型：
--
作者：
Smith MM;Weaver KE;Grabowski TJ;Rao RP;Darvas F
高伽马振荡(70-150赫兹；HG)是快速演化的、空间局部化的神经生理信号，被认为是参与神经群体的最具代表性的信号。由于HG带在绕过头皮和头骨时所产生的信噪比增加，因此HG带在侵入性电生理方法(如皮质脑电图术)中具有最好的特征。尽管最近观察到脑电可以非侵入性地检测到HG活动，但目前还不清楚EEG在多大程度上能够准确地分辨主动任务投入过程中HG信号的空间分布。我们已经克服了通过利用个体头部解剖结合反向建模方法获取头皮上的HG信号所固有的一些限制。我们将线性约束最小方差(LCMV)波束形成器方法应用于运动成像范式中的脑电数据，以提取大脑皮层上每个体素位置的时频谱图。为了确认HG反应的空间分布模式，我们将EEG HG信号的重叠地图与从同一组神经学正常受试者在单独会话期间获得的血氧水平依赖(BOLD)功能磁共振成像(FMRI)数据进行了对比。我们发现在运动图像中脑电检测到的基于头皮的HG带活动与BOLD fMRI数据在空间上是共定位的。综上所述，这些结果表明，脑电可以准确地解析局部皮质高频信号的空间特异性估计，潜在地开辟了一条无创测量不同神经受损人群的HG电位的途径，用于诊断和治疗目的。
High gamma oscillations (70–150 Hz; HG) are rapidly evolving, spatially localized neurophysiological signals that are believed to be the best representative signature of engaged neural populations. The HG band has been best characterized from invasive electrophysiological approaches such as electrocorticography because of the increased signal-to-noise ratio that results when by-passing the scalp and skull. Despite the recent observation that HG activity can be detected non-invasively by electroencephalography (EEG), it is unclear to what extent EEG can accurately resolve the spatial distribution of HG signals during active task engagement. We have overcome some of the limitations inherent to acquiring HG signals across the scalp by utilizing individual head anatomy in combination with an inverse modeling method. We applied a linearly constrained minimum variance (LCMV) beamformer method on EEG data during a motor imagery paradigm to extract a time-frequency spectrogram at every voxel location on the cortex. To confirm spatially distributed patterns of HG responses, we contrasted overlapping maps of the EEG HG signal with blood oxygen level dependence (BOLD) functional magnetic resonance imaging (fMRI) data acquired from the same set of neurologically normal subjects during a separate session. We show that scalp-based HG band activity detected by EEG during motor imagery spatially co-localizes with BOLD fMRI data. Taken together, these results suggest that EEG can accurately resolve spatially specific estimates of local cortical high frequency signals, potentially opening an avenue for non-invasive measurement of HG potentials from diverse sets of neurologically impaired populations for diagnostic and therapeutic purposes.
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DOI：
10.1523/jneurosci.2041-09.2009
发表时间：
2009-10-28
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Manning JR;Jacobs J;Fried I;Kahana MJ
通讯作者：
Kahana MJ
细胞外田地和电流的起源-EEG，ECOG，LFP和尖峰。
DOI：
10.1038/nrn3241
发表时间：
2012-05-18
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Buzsáki G;Anastassiou CA;Koch C
通讯作者：
Koch C
影响因子：
5.3
作者：
Miller, K. J.;Zanos, S.;Ojemann, J. G.
通讯作者：
Ojemann, J. G.
影响因子：
--
作者：
Bullier, J
通讯作者：
Bullier, J
影响因子：
5.3
作者：
Miller, Kai J.;Leuthardt, Eric C.;Ojemann, Jeffrey G.
通讯作者：
Ojemann, Jeffrey G.