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人类颅内脑电图中相位的精细时空结构

Fine spatiotemporal structure of phase in human intracranial EEG.

作者信息

Freeman Walter J, Holmes Mark D, West G Alexander, Vanhatalo Sampsa

机构信息

Department of Molecular and Cell Biology University of California at Berkeley, Berkeley, CA 94720-3206, USA.

出版信息

Clin Neurophysiol. 2006 Jun;117(6):1228-43. doi: 10.1016/j.clinph.2006.03.012.

Abstract

OBJECTIVE

To transfer to the clinic for humans the technology and theory for high-resolution EEG analysis that have been developed in the laboratory with animals.

METHODS

EEGs were recorded at high spatial resolution from a 1 x 1 cm 8 x 8 electrode array on the right inferior temporal gyrus of a patient undergoing preoperative monitoring for epilepsy surgery. Cosines were fitted to EEG segments to measure frequency and phase and compute location, size, latency, phase velocity, duration, and recurrence rate of radially symmetric spatial patterns called phase cones. The Hilbert transform was also used to get high temporal resolution.

RESULTS

In the awake state, the power spectral density (PSD) showed power-law decrease in log power with log frequency at 1/falpha, alpha approximately 2, but with peaks in the standard empirical ranges. The phase in beta and gamma ranges had spatial gradients in conic form. Resetting of these stable spatial patterns of phase cones was spatially coincident at intermittent discontinuities ('phase slip') recurring at theta rates. Cones had half power diameters from 2 to 50+ mm; their durations had power-law distributions with values ranging from 6 to 300+ ms depending on length of the analysis window. In slow wave sleep PSD decreased at 1/falpha, alpha approximately 3,with loss of beta-gamma spectral peaks and diminished or absent oscillations and spatiotemporal phase structure.

CONCLUSIONS

Spatiotemporal structures in awake human and rabbit EEG showed striking similarities. The only clear differences were ascribable to differing scales of measurement. These fine spatiotemporal structures of EEG were diminished or lost in slow wave sleep.

SIGNIFICANCE

The fine structure indicates that neocortical stability is sustained at self-organized criticality; that synaptic input in the awake state drives neocortex away from criticality causing beta-gamma oscillations in re-stabilizing 'neural avalanches'; and that diminished input in slow wave sleep allows return toward criticality but with some added risk of instability and seizure.

摘要

目的

将在实验室针对动物研发的高分辨率脑电图分析技术和理论应用于人类临床。

方法

对一名接受癫痫手术术前监测的患者,在其右侧颞下回以1×1厘米的8×8电极阵列进行高空间分辨率脑电图记录。用余弦函数拟合脑电图片段,以测量频率和相位,并计算称为相位锥的径向对称空间模式的位置、大小、潜伏期、相速度、持续时间和复发率。还使用希尔伯特变换来获得高时间分辨率。

结果

在清醒状态下,功率谱密度(PSD)显示对数功率随对数频率呈幂律下降,符合1/fα规律,α约为2,但在标准经验范围内有峰值。β和γ频段的相位呈圆锥形式的空间梯度。这些稳定的相位锥空间模式在以θ频率反复出现的间歇性不连续处(“相位滑移”)在空间上重合。相位锥的半功率直径为2至50多毫米;其持续时间具有幂律分布,根据分析窗口的长度,值范围为6至300多毫秒。在慢波睡眠中,PSD以1/fα规律下降,α约为3,β - γ频谱峰值消失,振荡和时空相位结构减弱或消失。

结论

清醒人类和兔子脑电图的时空结构显示出惊人的相似性。唯一明显的差异可归因于测量尺度的不同。脑电图的这些精细时空结构在慢波睡眠中减弱或消失。

意义

精细结构表明新皮层稳定性在自组织临界状态下得以维持;清醒状态下的突触输入使新皮层远离临界状态,导致在重新稳定的“神经雪崩”中出现β - γ振荡;慢波睡眠中输入减少使新皮层回归临界状态,但增加了不稳定和癫痫发作的风险。

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