High-frequency neural activity and human cognition: Past, present and possible future of intracranial EEG research

被引:324
作者
Lachaux, Jean-Philippe [1 ,2 ]
Axmacher, Nikolai [3 ,4 ]
Mormann, Florian [4 ]
Halgren, Eric [5 ,6 ]
Crone, Nathan E. [7 ]
机构
[1] INSERM, CNRS, UMR5292 U1028, Lyon Neurosci Res Ctr,Brain Dynam & Cognit Team, F-69500 Bron, France
[2] Univ Claude Bernard Lyon 1, Lyon, France
[3] Univ Bonn, Dept Epileptol, D-53105 Bonn, Germany
[4] German Ctr Neurodegenerat Dis DZNE, D-53175 Bonn, Germany
[5] Univ Calif San Diego, Dept Radiol, Multimodal Imaging Lab, La Jolla, CA 92037 USA
[6] Univ Calif San Diego, Dept Neurosci, Multimodal Imaging Lab, La Jolla, CA 92037 USA
[7] Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21287 USA
关键词
Electrocorticography; ECoG; High gamma; Functional mapping; Oscillations; Gamma; DEEP BRAIN-STIMULATION; MEDIAL TEMPORAL-LOBE; HUMAN HIPPOCAMPAL-FORMATION; ELECTROCORTICOGRAPHIC GAMMA ACTIVITY; DEPTH-RECORDED POTENTIALS; HUMAN SENSORIMOTOR CORTEX; EVENT-RELATED CAUSALITY; OSCILLATIONS; 100-500; HZ; DEFAULT-MODE NETWORK; WORKING-MEMORY;
D O I
10.1016/j.pneurobio.2012.06.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:279 / 301
页数:23
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