A New Framework to Explain Sensorimotor Beta Oscillations

Ce, Palmer; Zapparoli, Laura; Kilner, James M.

doi:10.1016/j.tics.2016.03.007

Cited by 42 publications

(39 citation statements)

References 10 publications

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“…In humans, large-scale oscillatory networks in several frequency bands characterize magnetoencephalography (MEG), electroencephalography (EEG), and stereo-EEG (SEEG) data during resting state (RS) activity [3][4][5][6][7][8] and in many cognitive functions [9][10][11][12][13]. Inter-areal synchronization of alpha (, 7-14 Hz) and beta (, [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Hz) oscillations in humans and non-human primates, respectively, is thought to regulate top-down or feedback communication [14][15][16][17][18][19]. In contrast, both  and gamma-band (, 30-100 Hz) oscillations and synchronization have been associated with bottom-up sensory processing and representation of object-specific sensory information [15,[20][21][22], and  oscillations are also with sensorimotor processing [23,24].…”

Section: Introductionmentioning

confidence: 99%

“…Inter-areal synchronization of alpha (, 7-14 Hz) and beta (, [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Hz) oscillations in humans and non-human primates, respectively, is thought to regulate top-down or feedback communication [14][15][16][17][18][19]. In contrast, both  and gamma-band (, 30-100 Hz) oscillations and synchronization have been associated with bottom-up sensory processing and representation of object-specific sensory information [15,[20][21][22], and  oscillations are also with sensorimotor processing [23,24]. Overall, brain-wide oscillation networks in multiple frequencies are proposed to be the core of cognition [10,11,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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

Siebenhuehner

Wang

Arnulfo

et al. 2019

Preprint

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AbstractPhase synchronization of neuronal oscillations in specific frequency bands coordinates anatomically distributed neuronal processing and communication. Typically, oscillations and synchronization take place concurrently in many distinct frequencies, which serve separate computational roles in cognitive functions. While within-frequency phase synchronization has been studied extensively, less is known about the mechanisms that govern neuronal processing distributed across frequencies and brain regions. Such integration of processing between frequencies could be achieved via cross-frequency coupling (CFC), either by phase-amplitude coupling (PAC) or by n:m-cross-frequency phase synchrony (CFS). So far, studies have mostly focused on local CFC in individual brain regions, whereas the presence and functional organization of CFC between brain areas have remained largely unknown. We posit that inter-areal CFC may be essential for large-scale coordination of neuronal activity and investigate here whether genuine CFC networks are present in human resting-state brain activity.To assess the functional organization of CFC networks, we identified brain-wide CFC networks at meso-scale resolution from stereo-electroencephalography (SEEG) and at macro-scale resolution from source-reconstructed magnetoencephalography (MEG) data. We developed a novel graph-theoretical method to distinguish genuine CFC from spurious CFC that may arise from non-sinusoidal signals ubiquitous in neuronal activity. We show that genuine inter-areal CFC is present in human resting-state activity in both MEG and SEEG data. Both CFS and PAC networks coupled theta and alpha oscillations with higher frequencies in large-scale networks connecting anterior and posterior brain regions. CFS and PAC networks had distinct spectral patterns and opposing distribution of low- and high frequency network hubs, implying that they constitute distinct CFC mechanisms. The strength of CFS networks was also predictive of cognitive performance in a separate neuropsychological assessment. In conclusion, these results provide evidence for inter-areal CFS and PAC being two distinct mechanisms for coupling oscillations across frequencies in large-scale brain networks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Siebenhuehner

Wang

Arnulfo

et al. 2019

Preprint

View full text Add to dashboard Cite

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“…It is well established that beta oscillations over sensorimotor cortex decrease prior to and during movement (Gastaut, ; Jasper & Penfield, ) and this modulation broadly correlates with the time course of SEP attenuation (Starr & Cohen, ). Previous research has also proposed that uncertainty in motor control is correlated with modulations in beta oscillatory power recorded from EEG overlying the sensorimotor cortex, with increasing uncertainty correlated with decreased beta oscillatory power (Palmer et al., ; Tan, Wade, & Brown, ). This implicates beta oscillatory activity as a promising candidate for this gating mechanism.…”

Section: Discussionmentioning

confidence: 98%

“…Within this framework increasing the estimate of the uncertainty surrounding the afferent input leads to an attenuation of the sensory signal, which is a necessary step in order to move. It has been proposed that an inability to modulate the gain of this sensory information underlies one of the cardinal symptoms of Parkinson's disease (PD): bradykinesia, the slowness of movement (Palmer, Zapparoli, & Kilner, ). Indeed, PD patients show a deficit in the gating of somatosensory evoked potentials (SEPs; Macerollo et al., ), which are known to be attenuated with movement (Starr & Cohen, ).…”

Section: Introductionmentioning

confidence: 99%

“…It has been suggested that the modulation of beta power over sensorimotor cortex prior to and during movement may mediate the sensory gating theorised to be necessary for movement (Palmer et al., ). We hypothesised that vibration may enhance movement speed by increasing preparatory beta desynchronisation placing the cortex in a more “ready‐to‐move” state.…”

Section: Introductionmentioning

confidence: 99%

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High‐frequency peripheral vibration decreases completion time on a number of motor tasks

Macerollo

Palmer

Foltynie

et al. 2018

Eur J of Neuroscience

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A recent theoretical account of motor control proposes that modulation of afferent information plays a role in affecting how readily we can move. Increasing the estimate of uncertainty surrounding the afferent input is a necessary step in being able to move. It has been proposed that an inability to modulate the gain of this sensory information underlies the cardinal symptoms of Parkinson's disease (PD). We aimed to test this theory by modulating the uncertainty of the proprioceptive signal using high‐frequency peripheral vibration, to determine the subsequent effect on motor performance. We investigated if this peripheral stimulus might modulate oscillatory activity over the sensorimotor cortex in order to understand the mechanism by which peripheral vibration can change motor performance. We found that 80 Hz peripheral vibration applied to the right wrist of a total of 54 healthy human participants reproducibly improved performance across four separate randomised experiments on a number of motor control tasks (nine‐hole peg task, box and block test, reaction time task and finger tapping). Improved performance on all motor tasks (except the amplitude of finger tapping) was also seen for a sample of 18PD patients ON medication. EEG data investigating the effect of vibration on oscillatory activity revealed a significant decrease in beta power (15–30 Hz) over the contralateral sensorimotor cortex at the onset and offset of 80 Hz vibration. This finding is consistent with a novel theoretical account of motor initiation, namely that modulating uncertainty of the proprioceptive afferent signal improves motor performance potentially by gating the incoming sensory signal and allowing for top‐down proprioceptive predictions.

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Performance Gains in an Open Skill Video-Game Task: The Role of Neural Efficiency and Neural Proficiency

Filho

Husselman

Zugic

et al. 2022

Appl Psychophysiol Biofeedback

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A New Framework to Explain Sensorimotor Beta Oscillations

Cited by 42 publications

References 10 publications

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

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

High‐frequency peripheral vibration decreases completion time on a number of motor tasks

Performance Gains in an Open Skill Video-Game Task: The Role of Neural Efficiency and Neural Proficiency

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