High-frequency neural activity and human cognition

Past, present and possible future of intracranial EEG research

Jean Philippe Lachaux, Nikolai Axmacher, Florian Mormann, Eric Halgren, Nathan E Crone

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)279-301
Number of pages23
JournalProgress in Neurobiology
Volume98
Issue number3
DOIs
StatePublished - Sep 2012

Fingerprint

Human Activities
Cognition
Research
Magnetic Resonance Imaging
Insurance Claim Review
Electrodes
Language
Communication
Electrocorticography
Guidelines

Keywords

  • ECoG
  • Electrocorticography
  • Functional mapping
  • Gamma
  • High gamma
  • Oscillations

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

High-frequency neural activity and human cognition : Past, present and possible future of intracranial EEG research. / Lachaux, Jean Philippe; Axmacher, Nikolai; Mormann, Florian; Halgren, Eric; Crone, Nathan E.

In: Progress in Neurobiology, Vol. 98, No. 3, 09.2012, p. 279-301.

Research output: Contribution to journalArticle

Lachaux, Jean Philippe ; Axmacher, Nikolai ; Mormann, Florian ; Halgren, Eric ; Crone, Nathan E. / High-frequency neural activity and human cognition : Past, present and possible future of intracranial EEG research. In: Progress in Neurobiology. 2012 ; Vol. 98, No. 3. pp. 279-301.
@article{a33bada808764399af4624e20cb7a8ea,
title = "High-frequency neural activity and human cognition: Past, present and possible future of intracranial EEG research",
abstract = "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.",
keywords = "ECoG, Electrocorticography, Functional mapping, Gamma, High gamma, Oscillations",
author = "Lachaux, {Jean Philippe} and Nikolai Axmacher and Florian Mormann and Eric Halgren and Crone, {Nathan E}",
year = "2012",
month = "9",
doi = "10.1016/j.pneurobio.2012.06.008",
language = "English (US)",
volume = "98",
pages = "279--301",
journal = "Progress in Neurobiology",
issn = "0301-0082",
publisher = "Elsevier Limited",
number = "3",

}

TY - JOUR

T1 - High-frequency neural activity and human cognition

T2 - Past, present and possible future of intracranial EEG research

AU - Lachaux, Jean Philippe

AU - Axmacher, Nikolai

AU - Mormann, Florian

AU - Halgren, Eric

AU - Crone, Nathan E

PY - 2012/9

Y1 - 2012/9

N2 - 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.

AB - 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.

KW - ECoG

KW - Electrocorticography

KW - Functional mapping

KW - Gamma

KW - High gamma

KW - Oscillations

UR - http://www.scopus.com/inward/record.url?scp=84865376351&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865376351&partnerID=8YFLogxK

U2 - 10.1016/j.pneurobio.2012.06.008

DO - 10.1016/j.pneurobio.2012.06.008

M3 - Article

VL - 98

SP - 279

EP - 301

JO - Progress in Neurobiology

JF - Progress in Neurobiology

SN - 0301-0082

IS - 3

ER -