Modulation of the Intracortical LFP during Action Execution and Observation

Waldert, Stephan; Vigneswaran, Ganesh; Philipp, Roland; Lemon, Roger; Kraskov, Alexander

doi:10.1523/jneurosci.5137-14.2015

Cited by 28 publications

(21 citation statements)

References 48 publications

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“…As described for the mu rhythm, beta ERD also occur during both movement execution (Ofori et al, 2015 ) and observation (Zarka et al, 2014 ; Cevallos et al, 2015 ; Babiloni et al, 2016 ). This evidence was recently reinforced by LFP recordings in the monkey showing modulation of beta power in M1 and premotor cortex during action execution and observation (Waldert et al, 2015 ).…”

Section: Beta Oscillationmentioning

confidence: 73%

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: 73%

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

et al. 2016

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“…These differences between studies could be due to the disparity of cortical area sampled in the SEEG study (disjoint sites, 62-92 deep electrode) vs. the ECoG study (continuous sites, 112 contacts with 7.1 mm inter-electrode distance). A study of sustained hand grasp in non-human primates showed distinct peaks of gamma modulations at both grasp onset and offset (Waldert et al, 2015). Others also briefly mentioned the presence of biphasic peaks of ERS in human ECoG during hand grasp (Flint et al, 2017).…”

Section: Temporal Dynamics Of Lfb-erd and Hfb-ersmentioning

confidence: 99%

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

et al. 2020

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It is well-known that motor cortical oscillatory components are modulated in their amplitude during voluntary and imagined movements. These patterns have been used to develop brain-machine interfaces (BMI) which focused mostly on movement kinematics. In contrast, there have been only a few studies on the relation between brain oscillatory activity and the control of force, in particular, grasping force, which is of primary importance for common daily activities. In this study, we recorded intraoperative high-density electrocorticography (ECoG) from the sensorimotor cortex of four patients while they executed a voluntary isometric hand grasp following verbal instruction. The grasp was held for 2 to 3 s before being instructed to relax. We studied the power modulations of neural oscillations during the whole time-course of the grasp (onset, hold, and offset phases). Phasic event-related desynchronization (ERD) in the low-frequency band (LFB) from 8 to 32 Hz and event-related synchronization (ERS) in the high-frequency band (HFB) from 60 to 200 Hz were observed at grasp onset and offset. However, during the grasp holding period, the magnitude of LFB-ERD and HFB-ERS decreased near or at the baseline level. Overall, LFB-ERD and HFB-ERS show phasic characteristics related to the changes of grasp force (onset/offset) in all four patients. More precisely, the fluctuations of HFB-ERS primarily, and of LFB-ERD to a lesser extent, correlated with the time-course of the first time-derivative of force (yank), rather than with force itself. To the best of our knowledge, this is the first study that establishes such a correlation. These results have fundamental implications for the decoding of grasp in brain oscillatory activity-based neuroprosthetics.

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“…Although the primary motor cortex (M1) is not classically considered an integral part of the core parietofrontal MNS (Iacoboni, ; Rizzolatti & Sinigaglia, ), there is accumulating evidence for M1 activity during action observation. Electrophysiological studies in monkeys demonstrated the existence of cells with mirroring properties in this region (Dushanova & Donoghue, ; Tkach et al., ; Vigneswaran et al., ; Waldert, Vigneswaran, Philipp, Lemon, & Kraskov, ). TMS studies further support the role of M1 in observational learning.…”

Section: Discussionmentioning

confidence: 99%

Activity in primary motor cortex during action observation covaries with subsequent behavioral changes in execution

Aridan

Mukamel

2016

Brain and Behavior

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Introduction: Observing someone else perform a movement facilitates motor planning, execution, and motor memory formation. Rate, an important feature in the execution of repeated movements, has been shown to vary following movement observation although the underlying neural mechanisms are unclear. In the current study, we examined how the rate of self-paced index finger pressing is implicitly modified following passive observation of a similar action performed at a different rate.Methods: Fifty subjects performed a finger pressing sequence with their right hand at their own pace before and after passive observation of either a 1-min video depicting the task performed at 3 Hz by someone else or a black screen. An additional set of 15 subjects performed the task in an MRI scanner.Results: Across all 50 subjects, the spontaneous execution rate prior to video observation had a bimodal distribution with modes around 2 and 4 Hz. Following video observation, the slower subjects performed the task at an increased rate. In the 15 subjects who performed the task in the MRI scanner, we found positive correlation between fMRI signal in the left primary motor strip during passive video observation and subsequent behavioral changes in task performance rate. Conclusion:We conclude that observing someone else perform an action at a higher rate implicitly increases the spontaneous rate of execution, and that this implicit induction is mediated by activity in the contralateral primary motor cortex. K E Y W O R D Sfunctional magnetic resonance imaging, imitation, mirror neurons, motor system

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Modulation of the Intracortical LFP during Action Execution and Observation

Cited by 28 publications

References 48 publications

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

Brain Oscillations in Sport: Toward EEG Biomarkers of Performance

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

Activity in primary motor cortex during action observation covaries with subsequent behavioral changes in execution

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