Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Brain Dynamics and Cognition Team, F-69500 Lyon-Bron, France.
Prog Neurobiol. 2012 Sep;98(3):279-301. doi: 10.1016/j.pneurobio.2012.06.008. Epub 2012 Jun 26.
Human intracranial EEG (iEEG) recordings are primarily performed in epileptic patients for presurgical mapping. When patients perform cognitive tasks, iEEG signals reveal high-frequency neural activities (HFAs, between around 40 Hz and 150 Hz) with exquisite anatomical, functional and temporal specificity. Such HFAs were originally interpreted in the context of perceptual or motor binding, in line with animal studies on gamma-band ('40 Hz') neural synchronization. Today, our understanding of HFA has evolved into a more general index of cortical processing: task-induced HFA reveals, with excellent spatial and time resolution, the participation of local neural ensembles in the task-at-hand, and perhaps the neural communication mechanisms allowing them to do so. This review promotes the claim that studying HFA with iEEG provides insights into the neural bases of cognition that cannot be derived as easily from other approaches, such as fMRI. We provide a series of examples supporting that claim, drawn from studies on memory, language and default-mode networks, and successful attempts of real-time functional mapping. These examples are followed by several guidelines for HFA research, intended for new groups interested by this approach. Overall, iEEG research on HFA should play an increasing role in cognitive neuroscience in humans, because it can be explicitly linked to basic research in animals. We conclude by discussing the future evolution of this field, which might expand that role even further, for instance through the use of multi-scale electrodes and the fusion of iEEG with MEG and fMRI.
人类颅内脑电图 (iEEG) 记录主要在癫痫患者中进行术前定位。当患者执行认知任务时,iEEG 信号揭示了具有精细解剖学、功能和时间特异性的高频神经活动 (HFAs,约在 40 Hz 到 150 Hz 之间)。这些 HFAs 最初是在感知或运动绑定的背景下解释的,与动物研究中的γ波段 ('40 Hz') 神经同步一致。如今,我们对 HFA 的理解已经发展成为皮质处理的更一般指标:任务诱导的 HFA 以出色的空间和时间分辨率揭示了局部神经集合体参与手头任务的情况,也许还有允许它们这样做的神经通信机制。这篇综述主张,使用 iEEG 研究 HFA 可以深入了解认知的神经基础,而这些基础无法轻易从 fMRI 等其他方法中得出。我们提供了一系列支持这一说法的例子,这些例子来自于对记忆、语言和默认模式网络的研究,以及实时功能映射的成功尝试。这些例子之后是一些针对 HFA 研究的指南,旨在为对此方法感兴趣的新团体提供参考。总体而言,iEEG 对 HFA 的研究应该在人类认知神经科学中发挥越来越重要的作用,因为它可以与动物基础研究明确联系起来。我们最后讨论了该领域的未来发展,例如通过使用多尺度电极以及将 iEEG 与 MEG 和 fMRI 融合,该领域的作用可能会进一步扩大。