Cited by 262Neural dynamics and brain functionEEG and Brain-Computer InterfacesHeart Rate Variability and Autonomic Control

Assessing transient cross-frequency coupling in EEG data

Cohen, Michael X·2008·Journal of Neuroscience Methods

Abstract

Synchronization of oscillatory EEG signals across different frequency bands is receiving waxing interest in cognitive neuroscience and neurophysiology, and cross-frequency coupling is being increasingly linked to cognitive and perceptual processes. Several methods exist to examine cross-frequency coupling, although each has its limitations, typically by being flexible only over time or over frequency. Here, a method for assessing transient cross-frequency coupling is presented, which allows one to test for the presence of multiple, dynamic, and flexible cross-frequency coupling structure over both time and frequency. The method is applied to intracranial EEG data, and strong coupling between gamma ( approximately 40-80 Hz) and upper theta ( approximately 7-9 Hz) was observed. This method might have useful applications in uncovering the electrophysiological correlates of cognitive processes.

Integrity signals

Registry

Crossref · 10.1016/j.jneumeth.2007.10.012

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cohen, M. X.
Affiliations
University of Bonn (DE)
Corresponding author
Cohen, Michael X
Venue
Journal of Neuroscience Methods
Publisher
Elsevier BV
Published
2008-03
Volume
168
Issue
2
Pages
494-499
ISSN
0165-0270 (ISSN-L)
OpenAlex
W2002704374
Cited by
262
References
25
Citations by year
2026: 10 · 2025: 7 · 2024: 13 · 2023: 14 · 2022: 25 · 2021: 26 · 2020: 24 · 2019: 27 · 2018: 14 · 2017: 20 · 2016: 17 · 2015: 13 · 2014: 6 · 2013: 9 · 2012: 16
FWCI
1.84
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neuroscience Methods (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
cross-frequency coupling, EEG synchronization, gamma oscillations, intracranial EEG, time-frequency analysis, cognitive processes
MeSH terms
Adult, Algorithms, Cognition, Data Interpretation, Statistical, Electrodes, Implanted, Electroencephalography, Epilepsy, Humans, Male, Perception, Theta Rhythm

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review