Sensorimotor and cognitive involvement of the beta–gamma oscillation in the frontal N30 component of somatosensory evoked potentials

Cebolla, Ana Maria; Chéron, Guy

doi:10.1016/j.neuropsychologia.2015.04.033

Cited by 21 publications

(11 citation statements)

References 119 publications

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“…In addition, beta phase-locking (ITC) was found in a large region including the premotor, motor, and somatosensory cortex and the angular gyrus (BA39) considered as an important node in the mirror neuron network (MNN) (Cebolla et al, 2014 ). These results demonstrate that beta oscillation participates in the top-down influence exerted by the MNN on the early evoked SEP component (Cebolla and Cheron, 2015 ).…”

Section: Beta Oscillationmentioning

confidence: 53%

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

et al. 2016

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Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The non-invasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu), and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.

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Section: Beta Oscillationmentioning

confidence: 53%

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

et al. 2016

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“…These differences in sensorimotor integration between distal and proximal muscles are further demonstrated through a lack of changes in the N30 SEP peak for the shoulder tracing task. The N30 peak is a complex loop with multiple neural generators, linking the premotor and motor areas, the thalamus, and the basal ganglia, which reflects changes in sensorimotor integration within the cortex [ 28 , 36 , 39 , 40 ]. Previous research has shown changes in the N30 SEP peak following complex motor acquisition tasks performed with the thumb muscle [ 8 , 9 , 15 ].…”

Section: Discussionmentioning

confidence: 99%

Proximal Upper Limb Sensorimotor Integration in Response to Novel Motor Skill Acquisition

et al. 2020

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Previous studies have shown significant changes in cortical and subcortical evoked potential activity levels in response to motor training with the distal upper-limb muscles. However, no studies to date have assessed the neurological processing changes in somatosensory evoked potentials (SEPs) associated with motor training whole-arm movements utilizing proximal upper-limb muscles. The proximal upper-limb muscles are a common source of work-related injuries, due to repetitive glenohumeral movements. Measuring neurophysiological changes following performance of a proximal motor task provide insight into potential neurophysiological changes associated with occupational postures and movements involving proximal upper limb muscles. This study sought to assess the impact of a novel motor skill acquisition task on neural processing of the proximal upper-limb muscle groups, through the measurement of short-latency median nerve SEPs. One group of 12 participants completed a novel motor training task, consisting of tracing a sinusoidal waveform varying in amplitude and frequency. Baseline SEP measurements were recorded from each participant, followed by a mental recitation control task. Pre-test SEP measurements were then recorded, followed by the motor training task, and post-test SEP recordings. The participants completed the tracing with their right thumb, using glenohumeral rotation only to move their hand. Significant improvements in task accuracy were demonstrated, indicating that motor acquisition had occurred. Significant changes were also seen in the N11, N13, N20, N24, P25, and the N30 SEP peaks were seen following the motor training task. Conclusion: Early SEPs appear to be a sensitive measure of changes in sensorimotor integration in response to novel motor skill acquisition within the proximal upper-limb muscles.

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“…Along this line, there is evidence suggesting that modulation of beta power could be related to the amplitude of somatosensory evoked potentials components representing sensorimotor integration (Rossi et al. ; Cebolla and Cheron ). Such early components are suppressed during active, passive and observed movements (Abbruzzese et al …”

Section: Discussionmentioning

confidence: 99%

“…In this context, beta ERD would reflect, concomitantly, activation of the motor areas and attenuation of the sensory afferences during movement; beta ERS instead, would reflect postmovement reactivation of somatosensory areas that, in turn, would induce inhibition or idle state of the motor areas. Along this line, there is evidence suggesting that modulation of beta power could be related to the amplitude of somatosensory evoked potentials components representing sensorimotor integration (Rossi et al 2002;Cebolla and Cheron 2015). Such early components are suppressed during active, passive and observed movements (Abbruzzese et al1981;Rushton et al 1981Brown et al 2015.…”

Section: Beta Movement-related Modulation Is Reduced In Pdmentioning

confidence: 95%

Practice changes beta power at rest and its modulation during movement in healthy subjects but not in patients with Parkinson's disease

et al. 2015

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Background PD (Parkinson's disease) is characterized by impairments in cortical plasticity, in beta frequency at rest and in beta power modulation during movement (i.e., event‐related ERS [synchronization] and ERD [desynchronization]). Recent results with experimental protocols inducing long‐term potentiation in healthy subjects suggest that cortical plasticity phenomena might be reflected by changes of beta power recorded with EEG during rest. Here, we determined whether motor practice produces changes in beta power at rest and during movements in both healthy subjects and patients with PD. We hypothesized that such changes would be reduced in PD.MethodsWe thus recorded EEG in patients with PD and age‐matched controls before, during and after a 40‐minute reaching task. We determined posttask changes of beta power at rest and assessed the progressive changes of beta ERD and ERS during the task over frontal and sensorimotor regions.ResultsWe found that beta ERS and ERD changed significantly with practice in controls but not in PD. In PD compared to controls, beta power at rest was greater over frontal sensors but posttask changes, like those during movements, were far less evident. In both groups, kinematic characteristics improved with practice; however, there was no correlation between such improvements and the changes in beta power.ConclusionsWe conclude that prolonged practice in a motor task produces use‐dependent modifications that are reflected in changes of beta power at rest and during movement. In PD, such changes are significantly reduced; such a reduction might represent, at least partially, impairment of cortical plasticity.

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Sensorimotor and cognitive involvement of the beta–gamma oscillation in the frontal N30 component of somatosensory evoked potentials

Cited by 21 publications

References 119 publications

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

Proximal Upper Limb Sensorimotor Integration in Response to Novel Motor Skill Acquisition

Practice changes beta power at rest and its modulation during movement in healthy subjects but not in patients with Parkinson's disease

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