From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling

Combrisson, Etienne; Perrone‐Bertolotti, Marcela; Soto, Juan L.P.; Alamian, Golnoush; Kahane, Philippe; Lachaux, Jean-Philippe; Guillot, Aymeric; Jerbi, Karim

doi:10.1016/j.neuroimage.2016.11.042

Cited by 70 publications

(78 citation statements)

References 113 publications

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“…As phase-amplitude coupling is believed to play a fundamental role in the transfer of neural information across diverse spatial and temporal processing scales, thereby serving the dynamic integration of global computations with fast local processing, it may be extremely relevant for cognitive functioning [42]. Recent evidence has started to support this claim by hinting at its functional significance for visual perception [26], feedback processing [57], memory recall [58], visuomotor mapping [59] and movement planning and execution [60].…”

Section: Discussionmentioning

confidence: 99%

Phase-Amplitude Coupling of Neural Oscillations can be Effectively Probed with Concurrent TMS-EEG

Glim

Okazaki

Nakagawa

et al. 2018

Preprint

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Despite the widespread use of transcranial magnetic stimulation (TMS), knowledge of its neurophysiological mode of action is still incomplete. Recently, TMS has been proposed to synchronise neural oscillators, and to thereby increase the detectability of corresponding oscillations at the population level. As oscillations in the human brain are known to interact within nested hierarchies via phase-amplitude coupling, TMS might also be able to increase the macroscopic detectability of such coupling. In a concurrent TMS-electroencephalography study, we therefore examined the technique's influence on theta-gamma, alpha-gamma and beta-gamma phase-amplitude coupling by delivering single-pulse TMS (sTMS) and repetitive TMS (rTMS) over the left motor cortex and right visual cortex of healthy participants. The rTMS pulse trains were of 5 Hz, 11 Hz and 23 Hz for the three coupling variations, respectively. Relative to sham stimulation, all conditions showed transient but significant increases in phase-amplitude coupling at the stimulation site. In addition, we observed enhanced coupling over various other cortical sites, with a more extensive propagation during rTMS than during sTMS. By indicating that scalp-recorded phase-amplitude coupling can be effectively probed with TMS, these findings open the door to the technique's application in manipulative dissections of such coupling during human cognition and behaviour.

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Section: Discussionmentioning

confidence: 99%

Phase-Amplitude Coupling of Neural Oscillations can be Effectively Probed with Concurrent TMS-EEG

Glim

Okazaki

Nakagawa

et al. 2018

Preprint

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“…However, similar to the cross frequency interactions observed between delta-theta-gamma bands in the current study, it has previously been shown that delta phase modulates theta amplitude, and theta phase modulates gamma amplitude (Lakatos et al, 2005). Slow frequency phase modulation of high frequency amplitude has also been demonstrated across sensory modalities, brain regions, and species (Canolty et al, 2006; Lakatos et al, 2008; Tort et al, 2008, 2009; Händel and Haarmeier, 2009; Axmacher et al, 2010; Canolty and Knight, 2010; Voytek et al, 2010; Scheffzük et al, 2011; Yanagisawa et al, 2012; Lisman and Jensen, 2013; López-Azcárate et al, 2013; Purdon et al, 2013; Blain-Moraes et al, 2014, 2015; van Wingerden et al, 2014; Berman et al, 2015; Takeuchi et al, 2015; Combrisson et al, 2016), which considered together suggest that PAC may indeed serve a mechanistic role in local as well as inter-regional information transfer. Furthermore, our findings have translational potential because the anesthetic-invariant PAC pattern identified in this study is: (1) in frontal cortex, which is more clinically relevant because it can be assessed through a clinically-accessible site of recording, and (2) in bandwidths that can be measured using scalp EEG in humans.…”

Section: Discussionmentioning

confidence: 99%

“…Long-range slow oscillations have been shown to entrain local fast oscillations through cross-frequency coupling (CFC), which is likely to have a mechanistic influence on intracortical as well as cortical-subcortical connectivity (Canolty and Knight, 2010; Hyafil et al, 2015). Consistent with its potential ability to facilitate neural communication, CFC has been implicated in a wide variety of cognitive functions, including mnemonic processes (Canolty et al, 2006; Tort et al, 2008; Axmacher et al, 2010; Canolty and Knight, 2010; Lisman and Jensen, 2013; van Wingerden et al, 2014), sensory processing (Lakatos et al, 2008), input discrimination (Händel and Haarmeier, 2009), and motor planning and execution (Yanagisawa et al, 2012; Combrisson et al, 2016). …”

Section: Introductionmentioning

confidence: 99%

Propofol, Sevoflurane, and Ketamine Induce a Reversible Increase in Delta-Gamma and Theta-Gamma Phase-Amplitude Coupling in Frontal Cortex of Rat

Pal

2017

Front. Syst. Neurosci.

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Studies from human and non-human species have demonstrated a breakdown of functional corticocortical connectivity during general anesthesia induced by anesthetics with diverse molecular, neurophysiological, and pharmacological profiles. Recent studies have demonstrated that changes in long-range neural communication, and by corollary, functional connectivity, might be influenced by cross-frequency coupling (CFC) between the phase of slow oscillations and the amplitude of local fast oscillations. Phase-amplitude coupling (PAC) between slow oscillations and alpha rhythm during general anesthesia reveal distinct patterns depending on the anesthetic. In this study, we analyzed the effect of three clinically used anesthetics (propofol: n = 6, sevoflurane: n = 10, and ketamine: n = 8) with distinct molecular mechanisms on changes in PAC in the frontal cortex of rat. The loss of righting reflex was used as a surrogate for unconsciousness. PAC was calculated using the modulation index (MI) algorithm between delta (1–4 Hz), theta (4–10 Hz), low gamma (25–55 Hz), and high gamma (65–125 Hz) bands. A linear mixed model with fixed effects was used for statistical comparisons between waking, anesthetized, and post-anesthesia recovery epochs. All three anesthetics increased the coupling between delta and low gamma (p < 0.0001) as well as between theta and low gamma (p < 0.0001) oscillations, which returned to baseline waking levels during the post-anesthetic recovery period. In addition, a reversible reduction in high gamma power (p < 0.0001) was a consistent change during anesthesia induced by all three agents. The changes in delta-high gamma and theta-high gamma PAC as well as power spectral changes in delta, theta, and low gamma bandwidths did not show a uniform response across the three anesthetics. These results encourage the study of alternative PAC patterns as drug-invariant markers of general anesthesia in humans.

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“…Over the last decade, PAC has been shown to mediate a variety of task-related and cognitive functions including attention and decision making [9,10], learning and memory [11][12][13][14][15][16][17][18], motor and visuomotor tasks [5,[19][20][21][22][23][24][25], as well as mental disorders such as Parkinson disease and schizophrenia [26][27][28][29][30][31][32][33]. It has been proposed that PAC reflects the regulation of high frequency local computations by a larger network, oscillating at lower frequencies [34].…”

Section: Introductionmentioning

confidence: 99%

Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Coupling measurement in electrophysiological brain signals

Combrisson

Nest

Brovelli

et al. 2020

Preprint

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Despite being the focus of a thriving field of research, the biological mechanisms that underlie information integration in the brain are not yet fully understood. A theory that has gained a lot of traction in recent years suggests that multi-scale integration is regulated by a hierarchy of mutually interacting neural oscillations. In particular, there is accumulating evidence that phase-amplitude coupling (PAC), a specific form of cross-frequency interaction, plays a key role in numerous cognitive processes. Current research in the field is not only hampered by the absence of a gold standard for PAC analysis, but also by the computational costs of running exhaustive computations on large and high-dimensional electrophysiological brain signals. In addition, various signal properties and analyses parameters can lead to spurious PAC. Here, we present Tensorpac, an open-source Python toolbox dedicated to PAC analysis of neurophysiological data. The advantages of Tensorpac include (1) higher computational efficiency thanks to software design that combines tensor computations and parallel computing, (2) the implementation of all most widely used PAC methods in one package, (3) the statistical analysis of PAC measures, and (4) extended PAC visualization capabilities. Tensorpac is distributed under a BSD-3-Clause license and can be launched on any operating system (Linux, OSX and Windows). It can be installed directly via pip or downloaded from Github (https://github.com/EtienneCmb/tensorpac). By making Tensorpac available, we aim to enhance the reproducibility and quality of PAC research, and provide open tools that will accelerate future method development in neuroscience.

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From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling

Cited by 70 publications

References 113 publications

Phase-Amplitude Coupling of Neural Oscillations can be Effectively Probed with Concurrent TMS-EEG

Phase-Amplitude Coupling of Neural Oscillations can be Effectively Probed with Concurrent TMS-EEG

Propofol, Sevoflurane, and Ketamine Induce a Reversible Increase in Delta-Gamma and Theta-Gamma Phase-Amplitude Coupling in Frontal Cortex of Rat

Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Coupling measurement in electrophysiological brain signals

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