Literature DB >> 20463205

Measuring phase-amplitude coupling between neuronal oscillations of different frequencies.

Adriano B L Tort1, Robert Komorowski, Howard Eichenbaum, Nancy Kopell.   

Abstract

Neuronal oscillations of different frequencies can interact in several ways. There has been particular interest in the modulation of the amplitude of high-frequency oscillations by the phase of low-frequency oscillations, since recent evidence suggests a functional role for this type of cross-frequency coupling (CFC). Phase-amplitude coupling has been reported in continuous electrophysiological signals obtained from the brain at both local and macroscopic levels. In the present work, we present a new measure for assessing phase-amplitude CFC. This measure is defined as an adaptation of the Kullback-Leibler distance-a function that is used to infer the distance between two distributions-and calculates how much an empirical amplitude distribution-like function over phase bins deviates from the uniform distribution. We show that a CFC measure defined this way is well suited for assessing the intensity of phase-amplitude coupling. We also review seven other CFC measures; we show that, by some performance benchmarks, our measure is especially attractive for this task. We also discuss some technical aspects related to the measure, such as the length of the epochs used for these analyses and the utility of surrogate control analyses. Finally, we apply the measure and a related CFC tool to actual hippocampal recordings obtained from freely moving rats and show, for the first time, that the CA3 and CA1 regions present different CFC characteristics.

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Year:  2010        PMID: 20463205      PMCID: PMC2941206          DOI: 10.1152/jn.00106.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  25 in total

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2.  Statistical method for detection of phase-locking episodes in neural oscillations.

Authors:  Jose M Hurtado; Leonid L Rubchinsky; Karen A Sigvardt
Journal:  J Neurophysiol       Date:  2004-04       Impact factor: 2.714

3.  High gamma power is phase-locked to theta oscillations in human neocortex.

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Journal:  Hippocampus       Date:  2005       Impact factor: 3.899

5.  An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex.

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Journal:  J Neurophysiol       Date:  2005-05-18       Impact factor: 2.714

6.  Theta-gamma coupling increases during the learning of item-context associations.

Authors:  Adriano B L Tort; Robert W Komorowski; Joseph R Manns; Nancy J Kopell; Howard Eichenbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-23       Impact factor: 11.205

Review 7.  Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony.

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9.  Storage of 7 +/- 2 short-term memories in oscillatory subcycles.

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10.  Gamma amplitudes are coupled to theta phase in human EEG during visual perception.

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Journal:  Int J Psychophysiol       Date:  2006-09-07       Impact factor: 2.997

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5.  Age-Related Changes in 1/f Neural Electrophysiological Noise.

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Journal:  Anesthesiology       Date:  2019-04       Impact factor: 7.892

7.  Cholinergic blockade reduces theta-gamma phase amplitude coupling and speed modulation of theta frequency consistent with behavioral effects on encoding.

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Journal:  J Neurosci       Date:  2013-12-11       Impact factor: 6.167

8.  Traumatic Brain Injury Preserves Firing Rates But Disrupts Laminar Oscillatory Coupling and Neuronal Entrainment in Hippocampal CA1.

Authors:  Paul F Koch; Carlo Cottone; Christopher D Adam; Alexandra V Ulyanova; Robin J Russo; Maura T Weber; John D Arena; Victoria E Johnson; John A Wolf
Journal:  eNeuro       Date:  2020-09-02

9.  Electrographic Features of Spontaneous Recurrent Seizures in a Mouse Model of Extended Hippocampal Kindling.

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Journal:  Cereb Cortex Commun       Date:  2021-01-22

10.  Persistent aberrant cortical phase-amplitude coupling following seizure treatment in absence epilepsy models.

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Journal:  J Physiol       Date:  2017-09-19       Impact factor: 5.182

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