Literature DB >> 18061683

Assessing transient cross-frequency coupling in EEG data.

Michael X Cohen1.   

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.

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Year:  2007        PMID: 18061683     DOI: 10.1016/j.jneumeth.2007.10.012

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  81 in total

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5.  Hierarchical organization of gamma and theta oscillatory dynamics in schizophrenia.

Authors:  Kenji Kirihara; Anthony J Rissling; Neal R Swerdlow; David L Braff; Gregory A Light
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6.  Redistribution of neural phase coherence reflects establishment of feedforward map in speech motor adaptation.

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Journal:  J Neurophysiol       Date:  2015-01-28       Impact factor: 2.714

7.  Assessment of cross-frequency coupling with confidence using generalized linear models.

Authors:  M A Kramer; U T Eden
Journal:  J Neurosci Methods       Date:  2013-09-03       Impact factor: 2.390

8.  Comparing spiking and slow wave activity from invasive electroencephalography in patients with and without seizures.

Authors:  Brian Nils Lundstrom; Christian Meisel; Jamie Van Gompel; Matt Stead; Greg Worrell
Journal:  Clin Neurophysiol       Date:  2018-02-27       Impact factor: 3.708

Review 9.  The θ-γ neural code.

Authors:  John E Lisman; Ole Jensen
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

10.  Testing for nested oscillation.

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Journal:  J Neurosci Methods       Date:  2008-07-15       Impact factor: 2.390

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