Cited by 631Neuroscience and Neural EngineeringNeural dynamics and brain functionEEG and Brain-Computer Interfaces

Promises and limitations of human intracranial electroencephalography

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Parvizi, Josef, Kastner, Sabine·2018·Nature Neuroscience

Abstract

Intracranial electroencephalography (iEEG), also known as electrocorticography when using subdural grid electrodes or stereotactic EEG when using depth electrodes, is blossoming in various fields of human neuroscience. In this article, we highlight the potentials of iEEG in exploring functions of the human brain while also considering its limitations. The iEEG signal provides anatomically precise information about the selective engagement of neuronal populations at the millimeter scale and the temporal dynamics of their engagement at the millisecond scale. If several nodes of a given network are monitored simultaneously with implanted electrodes, the iEEG signals can also reveal information about functional interactions within and across networks during different stages of neural computation. As such, human iEEG can complement other methods of neuroscience beyond simply replicating what is already known, or can be known, from noninvasive lines of research in humans or from invasive recordings in nonhuman mammalian brains.

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  • Data on long-term safety and stability of ECoG primarily came from its application in epilepsy, including paddle-style surface strip electrodes with the Neuropace responsive neurostimulation system, which has demonstrated safety and signal stability for at least 9 years.

    “Previously, data on the long-term safety and stability of ECoG primarily came from its application in epilepsy82,90–92, including the paddle-style surface strip electrodes with the Neuropace responsive neurostimulation system, which has demonstrated safety and signal stability for at least 9 years92.”

    From The speech neuroprosthesis (2024) · cites this paper as [82]

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  1. [44]Raichle ME Neuroscience. The brain’s dark energy. Science 314, 1249– 1250 (2006). 17124311

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Authors
Parvizi, J., & Kastner, S.
Affiliations
Stanford Medicine (US)
Corresponding author
Parvizi, Josef
Venue
Nature Neuroscience
Published
2018-03-05
Volume
21
Issue
4
Pages
474-483
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2790682483
Cited by
631
References
104
Citations by year
2026: 82 · 2025: 108 · 2024: 89 · 2023: 86 · 2022: 80 · 2021: 83 · 2020: 51 · 2019: 35 · 2018: 16
FWCI
6.01
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (4r01ns078396-05, 2r01ey017699-14)
  • National Institute of Mental Health (R01MH064043, P50MH109429, R01MH109954)
  • National Eye Institute (R01EY-017699)
  • National Institute of Neurological Disorders and Stroke (R01-NS078396)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
intracranial EEG, electrocorticography, stereoelectroencephalography, depth electrodes, subdural grid electrodes, human brain function, neural network interactions, neural population dynamics, temporal dynamics of neural activity
MeSH terms
Animals, Brain, Brain Mapping, Electrodes, Implanted, Electroencephalography, Humans, Models, Neurological, Neurons, Brain Waves

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