scholarly journals Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings

PLoS Biology ◽  
2020 ◽  
Vol 18 (5) ◽  
pp. e3000685 ◽  
Author(s):  
Felix Siebenhühner ◽  
Sheng H. Wang ◽  
Gabriele Arnulfo ◽  
Anna Lampinen ◽  
Lino Nobili ◽  
...  
Keyword(s):  
Resting State ◽  
Electrophysiological Recordings ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury

2016 ◽  
Vol 102 ◽  
pp. 1-11 ◽  
Author(s):  
Marios Antonakakis ◽  
Stavros I. Dimitriadis ◽  
Michalis Zervakis ◽  
Sifis Micheloyannis ◽  
Roozbeh Rezaie ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Resting State ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Multivariate cross-frequency coupling via generalized eigendecomposition

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Michael X Cohen
Keyword(s):  
Null Hypothesis ◽  
Brain Activity ◽  
Field Potential ◽  
Simulated Data ◽  
Electrophysiological Recordings ◽  
Null Hypothesis Testing ◽  
Frequency Coupling ◽  
Cross Frequency Coupling ◽  
Field Coherence ◽  
New Framework

This paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source-separation algorithms combined with dynamics of mesoscopic neurophysiological processes. It is unaffected by factors that confound traditional CFC methods—such as non-stationarities, non-sinusoidality, and non-uniform phase angle distributions—attractive properties considering that brain activity is neither stationary nor perfectly sinusoidal. The gedCFC framework opens new opportunities for conceptualizing CFC as network interactions with diverse spatial/topographical distributions. Five specific methods within the gedCFC framework are detailed, these are validated in simulated data and applied in several empirical datasets. gedCFC accurately recovers physiologically plausible CFC patterns embedded in noise that causes traditional CFC methods to perform poorly. The paper also demonstrates that spike-field coherence in multichannel local field potential data can be analyzed using the gedCFC framework, which provides significant advantages over traditional spike-field coherence analyses. Null-hypothesis testing is also discussed.

scholarly journals Dissociating harmonic and non-harmonic phase-amplitude coupling in the human brain

2020 ◽  
Author(s):  
Janet Giehl ◽  
Nima Noury ◽  
Markus Siegel
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Higher Harmonics ◽  
Spectral Leakage ◽  
Harmonic Phase ◽  
Harmonic Signals ◽  
Cast Doubt ◽  
Frequency Coupling ◽  
Phase Amplitude ◽  
Cross Frequency Coupling

AbstractPhase-amplitude coupling (PAC) has been hypothesized to coordinate cross-frequency interactions of neuronal activity in the brain. However, little is known about the distribution of PAC across the human brain and the frequencies involved. Furthermore, it remains unclear to what extend PAC may reflect spurious cross-frequency coupling induced by physiological artifacts or rhythmic non-sinusoidal signals with higher harmonics. Here, we combined MEG, source-reconstruction and different measures of cross-frequency coupling to systematically characterize PAC across the resting human brain. We show that cross-frequency measures of phase-amplitude, phase-phase, and amplitude-amplitude coupling are all sensitive to signals with higher harmonics. In conjunction, these measures allow to distinguish harmonic and non-harmonic PAC. Based on these insights, we found no evidence for non-harmonic PAC in resting-state MEG. Instead, we found cortically and spectrally wide-spread PAC driven by harmonic signals. Furthermore, we show how physiological artifacts and spectral leakage cause spurious PAC across wide frequency ranges. Our result clarify how different measures of cross-frequency interactions can be combined to characterize PAC and cast doubt on the presence of prominent non-harmonic phase-amplitude coupling in human resting-state MEG.

scholarly journals Multivariate cross-frequency coupling via generalized eigendecomposition

2017 ◽  
Author(s):  
Michael X Cohen
Keyword(s):  
Null Hypothesis ◽  
Brain Activity ◽  
Field Potential ◽  
Simulated Data ◽  
Electrophysiological Recordings ◽  
Null Hypothesis Testing ◽  
Frequency Coupling ◽  
Cross Frequency Coupling ◽  
Field Coherence ◽  
New Framework

AbstractThis paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source separation algorithms combined with dynamics of mesoscopic neurophysiological processes. It is unaffected by factors that confound traditional CFC methods such as non-stationarities, non-sinusoidality, and non-uniform phase angle distributions—attractive properties considering that brain activity is neither stationary nor perfectly sinusoidal. The gedCFC framework opens new opportunities for conceptualizing CFC as network interactions with diverse spatial/topographical distributions. five specific methods within the gedCFC framework are detailed, with validations in simulated data and applications in several empirical datasets. gedCFC accurately recovers physiologically plausible CFC patterns embedded in noise where traditional CFC methods perform poorly. It is also demonstrated that spike-field coherence in multichannel local field potential data can be analyzed using the gedCFC framework, with significant advantages over traditional spike-field coherence analyses. Null-hypothesis testing is also discussed.

scholarly journals The absence of resting-state high-gamma cross-frequency coupling in patients with tinnitus

2017 ◽  
Vol 356 ◽  
pp. 63-73 ◽  
Author(s):  
Min-Hee Ahn ◽  
Sung Kwang Hong ◽  
Byoung-Kyong Min
Keyword(s):  
Resting State ◽  
High Gamma ◽  
Frequency Coupling ◽  
Cross Frequency Coupling
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