Movement-related changes in cortical oscillatory activity in ballistic, sustained and negative movements

Alegre, Manuel; Labarga, Alberto; Ig, Gurtubay; Iriarte, Jorge; Malanda, Armando; Artieda, Julio

doi:10.1007/s00221-002-1255-x

Cited by 86 publications

(11 citation statements)

References 37 publications

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“…This power increase is comparable to the classical beta rebound that follows movement offset [11], [21], [50], [54], [55]. In agreement with studies showing that sustained compared to brief movements elicit a weaker rebound (54,56], the beta rebound was of small amplitude in our task.…”

Section: Discussionsupporting

confidence: 91%

Modulations of EEG Beta Power during Planning and Execution of Grasping Movements

et al. 2013

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Although beta oscillations (≈ 13–35 Hz) are often considered as a sensorimotor rhythm, their functional role remains debated. In particular, the modulations of beta power during preparation and execution of complex movements in different contexts were barely investigated. Here, we analysed the beta oscillations recorded with electroencephalography (EEG) in a precued grasping task in which we manipulated two critical parameters: the grip type (precision vs. side grip) and the force (high vs. low force) required to pull an object along a horizontal axis. A cue was presented 3 s before a GO signal and provided full, partial or no information about the two movement parameters. We measured beta power over the centro-parietal areas during movement preparation and execution as well as during object hold. We explored the modulations of power in relation to the amount and type of prior information provided by the cue. We also investigated how beta power was affected by the grip and force parameters.We observed an increase in beta power around the cue onset followed by a decrease during movement preparation and execution. These modulations were followed by a transient power increase during object hold. This pattern of modulations did not differ between the 4 movement types (2 grips ×2 forces). However, the amount and type of prior information provided by the cue had a significant effect on the beta power during the preparatory delay. We discuss how these results fit with current hypotheses on the functional role of beta oscillations.

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Section: Discussionsupporting

confidence: 91%

Modulations of EEG Beta Power during Planning and Execution of Grasping Movements

et al. 2013

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“…During the preparation and the execution of movements, we found the same pattern of synchronization and desynchronization in both bands as reported previously (Pfurtscheller and Aranibar, 1977, 1979; Pfurtscheller et al, 1996; Stancák Jr and Pfurtscheller, 1997; Alegre et al, 2003, 2004a,b). This oscillatory activity has been largely considered an indicator of neural activation during motor tasks (Salmelin et al, 1995).…”

Section: Discussionsupporting

confidence: 90%

Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Amengual

Marco-Pallarés

Grau

et al. 2014

Front. Hum. Neurosci.

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The study of the movement related brain potentials (MRPBs) needs accurate technical approaches to disentangle the specific patterns of bran activity during the preparation and execution of movements. During the last forty years, synchronizing the electromyographic activation (EMG) of the muscle with electrophysiological recordings (EEG) has been commonly ussed for these purposes. However, new clinical approaches in the study of motor diseases and rehabilitation suggest the demand of new paradigms that might go further into the study of the brain activity associated with the kinematics of movements. As a response to this call, we have used a 3-D hand-tracking system with the aim to record continuously the position of an ultrasonic sender attached to the hand during the performance of multi-joint self-paced movements. We synchronized time-series of position and velocity of the sender with the EEG recordings, obtaining specific patterns of brain activity as a function of the fluctuations of the kinematics during natural movement performance. Additionally, the distribution of the brain activity during the preparation and execution phases of movements was similar that reported previously using the EMG, suggesting the validity of our technique. We claim that this paradigm could be usable in patients because of its simplicity and the potential knowledge that can be extracted from clinical protocols.

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“…In a previous study we found the same gait cycle related modulation in a 25–40 Hz frequency range during active and passive robot-assisted walking in the premotor cortex (Wagner et al, 2012). Central midline activity in the frequency range 30–45 Hz has been previously related to muscle activation during upper and lower limb movements (Pfurtscheller and Neuper, 1992; Pfurtscheller et al, 1993; Brown, 2000; Mima et al, 2000; Alegre et al, 2003; Müller-Putz et al, 2003, 2007; Raethjen et al, 2008). Results from Pfurtscheller and Lopes da Silva (1999) and Pfurtscheller et al (1996) suggest that activity in an overlapping frequency band is involved also in motor planning.…”

Section: Discussionmentioning

confidence: 94%

It's how you get there: walking down a virtual alley activates premotor and parietal areas

Wagner

Solis‐Escalante

Scherer

et al. 2014

Front. Hum. Neurosci.

144

169

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Voluntary drive is crucial for motor learning, therefore we are interested in the role that motor planning plays in gait movements. In this study we examined the impact of an interactive Virtual Environment (VE) feedback task on the EEG patterns during robot assisted walking. We compared walking in the VE modality to two control conditions: walking with a visual attention paradigm, in which visual stimuli were unrelated to the motor task; and walking with mirror feedback, in which participants observed their own movements. Eleven healthy participants were considered. Application of independent component analysis to the EEG revealed three independent component clusters in premotor and parietal areas showing increased activity during walking with the adaptive VE training paradigm compared to the control conditions. During the interactive VE walking task spectral power in frequency ranges 8–12, 15–20, and 23–40 Hz was significantly (p ≤ 0.05) decreased. This power decrease is interpreted as a correlate of an active cortical area. Furthermore activity in the premotor cortex revealed gait cycle related modulations significantly different (p ≤ 0.05) from baseline in the frequency range 23–40 Hz during walking. These modulations were significantly (p ≤ 0.05) reduced depending on gait cycle phases in the interactive VE walking task compared to the control conditions. We demonstrate that premotor and parietal areas show increased activity during walking with the adaptive VE training paradigm, when compared to walking with mirror- and movement unrelated feedback. Previous research has related a premotor-parietal network to motor planning and motor intention. We argue that movement related interactive feedback enhances motor planning and motor intention. We hypothesize that this might improve gait recovery during rehabilitation.

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Movement-related changes in cortical oscillatory activity in ballistic, sustained and negative movements

Cited by 86 publications

References 37 publications

Modulations of EEG Beta Power during Planning and Execution of Grasping Movements

Modulations of EEG Beta Power during Planning and Execution of Grasping Movements

Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

It's how you get there: walking down a virtual alley activates premotor and parietal areas

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