Modulation of event-related desynchronization during kinematic and kinetic hand movements

Nakayashiki, Kosei; Saeki, Midori; Takata, Yohei; Hayashi, Yoshikatsu; Kondo, Toshiyuki

doi:10.1186/1743-0003-11-90

Cited by 94 publications

(84 citation statements)

References 23 publications

(38 reference statements)

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“…During self-paced movements however, ERD has been observed to precede movement onset [22, 31-33]. Pre-movement ERD has also been observed previously before cued predictable movements [16, 21], including passive movements imposed on the subject [17, 18]. This study built on these findings, showing that ERD appeared in advance of a predictable imposed movement from a robotic orthosis when the subject was instructed to remain passive.…”

Section: Discussionsupporting

confidence: 72%

“…The mean secondary synchronization was greatest in the passive subject/active robot condition, followed by the active subject/active robot condition. ERD and ERS in relation to kinematic and kinetic hand movements were recently characterized by use of a 3×4 factorial design experiment in which the subjects repeated hand grasping movements at different speeds and forces [16]. The authors found that although grasping force did not affect the magnitude or time course of ERD/ERS, repeating grasping motions caused repeated up-modulation of the signal power.…”

Section: Discussionmentioning

confidence: 99%

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Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy

Norman

Dennison

Wolbrecht

et al. 2016

IEEE Trans. Neural Syst. Rehabil. Eng.

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Brain-computer interfacing is a technology that has the potential to improve patient engagement in robot-assisted rehabilitation therapy. For example, movement intention reduces mu (8-13 Hz) oscillation amplitude over the sensorimotor cortex, a phenomenon referred to as event-related desynchronization (ERD). In an ERD-contingent assistance paradigm, initial BCI-enhanced robotic therapy studies have used ERD to provide robotic assistance for movement. Here we investigated how ERD changed as a function of audio-visual stimuli, overt movement from the participant, and robotic assistance. Twelve unimpaired subjects played a computer game designed for rehabilitation therapy with their fingers using the FINGER robotic exoskeleton. In the game, the participant and robot matched movement timing to audio-visual stimuli in the form of notes approaching a target on the screen set to the consistent beat of popular music. The audio-visual stimulation of the game alone did not cause ERD, before or after training. In contrast, overt movement by the subject caused ERD, whether or not the robot assisted the finger movement. Notably, ERD was also present when the subjects remained passive and the robot moved their fingers to play the game. This ERD occurred in anticipation of the passive finger movement with similar onset timing as for the overt movement conditions. These results demonstrate that ERD can be contingent on expectation of robotic assistance; that is, the brain generates an anticipatory ERD in expectation of a robot-imposed but predictable movement. This is a caveat that should be considered in designing BCIs for enhancing patient effort in roboticallyassisted therapy.

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy

Norman

Dennison

Wolbrecht

et al. 2016

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…What makes this line of enquiry interesting is to investigate a link between a simple experiment task in laboratory and quality of life represented by the assessment of hand writing. In our recent work (Nakayashiki, Saeki, Takata, Hayashi, & Kondo, 2014), it was found that the ERD reflected the motor planning (speed and trajectories) rather than motor command generation therefore, we anticipate that the assessment in handwriting task would be a comprehensive marker which is correlated with the strength of ERD production.…”

Section: Discussionmentioning

confidence: 97%

Effect of instructive visual stimuli on neurofeedback training for motor imagery-based brain–computer interface

Kondo

Saeki

Hayashi

et al. 2015

Human Movement Science

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Event-related desynchronization (ERD) of the electroencephalogram (EEG) from the motor cortex is associated with execution, observation, and mental imagery of motor tasks. Generation of ERD by motor imagery (MI) has been widely used for brain-computer interfaces (BCIs) linked to neuroprosthetics and other motor assistance devices. Control of MI-based BCIs can be acquired by neurofeedback training to reliably induce MI-associated ERD. To develop more effective training conditions, we investigated the effect of static and dynamic visual representations of target movements (a picture of forearms or a video clip of hand grasping movements) during the BCI neurofeedback training. After 4 consecutive training days, the group that performed MI while viewing the video showed significant improvement in generating MI-associated ERD compared with the group that viewed the static image. This result suggests that passively observing the target movement during MI would improve the associated mental imagery and enhance MI-based BCIs skills.

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“…During the motor imagery, distinct Mu/Beta event related (de)synchronization phenomena are generally present around the motor cortex, which can be used for the classification of individual intention [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Channels selection for motor imagery paradigm — An Itakura distance based method

Eva

Lazar

2015

2015 E-Health and Bioengineering Conference (EHB)

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An offline analysis method is proposed for a brain computer interface paradigm. Changes that appear in brain during the motor tasks should be reflected in the EEG signals. The sequences of EEG data are modeled by autoregressive (AR) processes. Based on Itakura distance (ID), the differences that occur during mental tasks (left and right hand movement imagination) versus relaxation period are measured. After applying statistical tests, channels selection is performed. The data contained in the chosen channels are classified with linear discriminant classifier (LDA), quadratic discriminant classifier (QDA) and Mahalanobis distance classifier (MD). The advantage of channels selection based on ID is that the picked channels contain relevant features. The effectiveness of the method is sustained by the classification rates obtained.

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Modulation of event-related desynchronization during kinematic and kinetic hand movements

Cited by 94 publications

References 23 publications

Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy

Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy

Effect of instructive visual stimuli on neurofeedback training for motor imagery-based brain–computer interface

Channels selection for motor imagery paradigm — An Itakura distance based method

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