The Study of Object-Oriented Motor Imagery Based on EEG Suppression

Li, Lili; Wang, Jing; Xu, Guanghua; Li, Min; Xie, Jun

doi:10.1371/journal.pone.0144256

Cited by 28 publications

(27 citation statements)

References 38 publications

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“…For similar reasons, we did not use the EEGs recorded from the 'Real Feedback' group for the replay for the 'Sham Feedback' group, because this would require the 'Real Feedback' and 'Sham Feedback' groups to be recorded in a specific order, making double-blinded design impossible. Third, without any feedback, visual attention to moving objects might induce a reduction in beta band activities in the 'Real Feedback' group, but not the control group (Li et al, 2015). So we used the replay of previously recorded EEGs in order to match the dynamics in the visual feedback provided to the 'Sham Feedback' and 'Real Feedback' groups, which would also help control other placebo effects.…”

Section: Sham Control In Neurofeedback Studiesmentioning

confidence: 99%

Neurofeedback-Linked Suppression of Cortical β Bursts Speeds Up Movement Initiation in Healthy Motor Control: A Double-Blind Sham-Controlled Study

Everest-Phillips

Clouter

et al. 2020

J. Neurosci.

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Abnormally increased beta bursts in cortical-basal ganglia-thalamic circuits are associated with rigidity and bradykinesia in patients with Parkinson's disease. Increased beta bursts detected in the motor cortex have also been associated with longer reaction times in healthy participants. Here we further hypothesize that suppressing beta bursts through neurofeedback training can improve motor performance in healthy subjects. We conducted a double-blind sham-controlled study on 20 human volunteers (10 females) using a sequential neurofeedback-behaviour task with the neurofeedback reflecting the occurrence of beta bursts over sensorimotor cortex quantified in real-time. The results show that neurofeedback training helps healthy participants learn to volitionally suppress beta bursts in the sensorimotor cortex, with training being accompanied by reduced reaction time in subsequent cued movements. These changes were only significant in the real feedback group but not in the sham group, confirming the effect of neurofeedback training over simple motor imagery. In addition, reaction times correlated with the rate and accumulated duration of beta bursts in the contralateral motor cortex before the Go cue, but not with averaged beta power. The reduced reaction times induced by neurofeedback training positively correlated with reduced beta bursts across all tested hemispheres. These results strengthen the link between the occurrence of beta bursts in the sensorimotor cortex before the Go cue and slowed movement initiation in healthy motor control. The results also highlight the potential benefit of neurofeedback training in facilitating voluntary suppression of beta bursts in order to speed up movement initiation. Significance This double-blind sham-controlled study suggested that neurofeedback training can facilitate volitional suppression of beta bursts in sensorimotor cortex in healthy motor control better 3 than sham feedback. The training was accompanied by reduced reaction time in subsequent cued movements, and the reduced reaction time positively correlated with the level of reduction in cortical beta bursts before the Go cue, but not with average beta power. These results provide further evidence of a causal link between sensorimotor beta bursts and movement initiation and suggest that neurofeedback training could potentially be used to train participants to speed up movement initiation.

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Section: Sham Control In Neurofeedback Studiesmentioning

confidence: 99%

Neurofeedback-Linked Suppression of Cortical β Bursts Speeds Up Movement Initiation in Healthy Motor Control: A Double-Blind Sham-Controlled Study

Everest-Phillips

Clouter

et al. 2020

J. Neurosci.

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“…Thus, any activity related to movement or imagined movement generates brain signals that are dominant in the motor cortex of the brain [8,9]. Movement related oscillating process in these regions is usually visible in Alpha (8)(9)(10)(11)(12) and Beta (12-30 Hz) frequency bands [12,13].To study the brain activity now a days brain computer interfaces (BCIs) is the most effective way. It detects and interprets signals and can generate commands to control external devices [4].…”

Section: Introductionmentioning

confidence: 99%

“…Similar study is done in [15] where authors used time domain features for classification of power of hand grasps. Lili Li et al [13] have performed object oriented motor imagery(OI) analysis using EEG data in four different cases of object, non-object(NI), simple imagery(SI) and visual observation(VO), authors claimed that there is significant suppression in mu rhythm for OI and NI. Sanjay et al [11] have performed an ERP based analysis to examine the EEG based responses to hand actions on objects.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Action Oriented Effects on Perceptual Process of Object Recognition Using Physiological Responses

Sharma¹,

Mishra²,

Kumar

et al. 2018

Intelligent Human Computer Interaction

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“…Four motions including wrist extension, flexion, radial deviation, and ulnar deviation are supported in the proposed brain-controlled wrist rehabilitation. Motor imagery can be enhanced based on visual guidance and thus promote motor recovery [17]- [19]. A motion demonstration shows on the screen.…”

Section: Introductionmentioning

confidence: 99%

Attention-Controlled Assistive Wrist Rehabilitation Using a Low-Cost EEG Sensor

Liang

Zhao

et al. 2019

IEEE Sensors J.

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Robotically assisted rehabilitation therapy is effective in recovering motor function following impairment. It is essential to make sure patients be actively involved in the motor training process using robot-assisted rehabilitation to achieve better rehabilitation outcomes. This paper introduces a brain-controlled wrist rehabilitation method using a low-cost EEG sensor. Active rehabilitation training is realized using a threshold of the attention level measured by the low-cost EEG sensor as a brain-controlled switch for a flexible wrist exoskeleton assisting wrist flexion/extension and radial/ulnar deviation. We present a prototype implementation of this active training method and provide a preliminary evaluation. The feasibility of the attention-based control is proven with the overall actuation success rate of 95% and the subjective score of 7.5 out of 10 given by the participants to assess whether the attention-based control for the wrist exoskeleton feels natural. Although the general threshold performed slightly better in the system evaluation experiment regarding the success rates, the time used before the robot actuation and the subjective scores showed no significant difference on the performance using a general threshold and using customized threshold.

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The Study of Object-Oriented Motor Imagery Based on EEG Suppression

Cited by 28 publications

References 38 publications

Neurofeedback-Linked Suppression of Cortical β Bursts Speeds Up Movement Initiation in Healthy Motor Control: A Double-Blind Sham-Controlled Study

Neurofeedback-Linked Suppression of Cortical β Bursts Speeds Up Movement Initiation in Healthy Motor Control: A Double-Blind Sham-Controlled Study

Analysis of Action Oriented Effects on Perceptual Process of Object Recognition Using Physiological Responses

Attention-Controlled Assistive Wrist Rehabilitation Using a Low-Cost EEG Sensor

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