EEG Event-Related Desynchronization of patients with stroke during motor imagery of hand movement

Tabernig, Carolina B.; Carrere, L. Carolina; Lopez, Camila A; Ballario, Carlos

doi:10.1088/1742-6596/705/1/012059

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…Movements and images of motor activity, the so‐called motor imagery (MI), lead to changes in SMR. A decrease in the power of this band is called desynchronisation (ERD), while an increase in synchronisation (ERS) [10]. The mu rhythm also called rolandic, is a variant of the alpha rhythm.…”

Section: Motor Imagerymentioning

confidence: 99%

Brain–computer technology-based training system in the field of motor imagery

Paszkiel

Dobrakowski

2020

IET Science, Measurement &Amp; Technology

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The proposed training system helps the examined people to generate motor images based on the example maps of the activity of neuronal cell fractions presented to them. The study involved 16 students at the Laboratory of Neuroinformatics and Decision Systems of the Technical University of Opole. The group was divided into two equal subgroups, one of which was acquainted with the operation of the system, while the other -considered as a control -was not. Electroencephalographic signals were recorded when users were imagining the upper limb movement for two subgroups before and after the imagery training in order to verify the introduction of the proposed training system. The area used for data acquisition as part of the monitoring session implemented with the use of the Emotiv EPOC Flex device is a sensorimotor cortex. As it results from the carried-out literature analysis, it was the first attempt to use the 32-channel Emotive EPOC Flex device in the scope of the training system construction in the field of motor imagery.

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Section: Motor Imagerymentioning

confidence: 99%

Brain–computer technology-based training system in the field of motor imagery

Paszkiel

Dobrakowski

2020

IET Science, Measurement &Amp; Technology

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“…MI produces the desynchronization of the sensorimotor rhythms in the electroencephalogram (EEG). Sensorimotor rhythms refer to oscillations recorded on brain activity in somatic sensorimotor areas, concentrated in the frequency bands mu (8)(9)(10)(11)(12) and beta (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30). This desynchronization is evidenced as a decrease in the power of the EEG signal related to rest.…”

Section: Introductionmentioning

confidence: 99%

“…15 Recent works have reported topographic maps obtained during MI and movement of foot in healthy subjects, 16 and of hands in people with stroke sequelae. 17,18 They concluded that despite damage to the motor cortex due to stroke, it is feasible to detect the ERD associated with the MI of the affected limb. In addition, previous studies with BCI showed that correct training to generate the desynchronization of the electroencephalographic rhythm in patients with stroke by MI, could prove beneficial in their rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Neurorehabilitation therapy of patients with severe stroke based on functional electrical stimulation commanded by a brain computer interface

Tabernig

Lopez²,

Carrere

et al. 2018

Journal of Rehabilitation and Assistive Technologies Engineerin

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Introduction Brain computer interface is an emerging technology to treat the sequelae of stroke. The purpose of this study was to explore the motor imagery related desynchronization of sensorimotor rhythms of stroke patients and to assess the efficacy of an upper limb neurorehabilitation therapy based on functional electrical stimulation controlled by a brain computer interface. Methods Eight severe chronic stroke patients were recruited. The study consisted of two stages: screening and therapy. During screening, the ability of patients to desynchronize the contralateral oscillatory sensorimotor rhythms by motor imagery of the most affected hand was assessed. In the second stage, a therapeutic intervention was performed. It involved 20 sessions where an electrical stimulator was activated when the patient's cerebral activity related to motor imagery was detected. The upper limb was assessed, before and after the intervention, by the Fugl–Meyer score (primary outcome). Spasticity, motor activity, range of movement and quality of life were also evaluated (secondary outcomes). Results Desynchronization was identified in all screened patients. Significant post-treatment improvement ( p < 0.05) was detected in the primary outcome measure and in the majority of secondary outcome scores. Conclusions The results suggest that the proposed therapy could be beneficial in the neurorehabilitation of stroke individuals.

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“…This was addressed not only in terms of ERD power, but also ERD speed and ERD lateralization across sessions. Moreover, although early prior research has shown the impact of ERD patterns during MI of stroke patients, most of them are in the acute phase [57] [58]. During the acute phase, spontaneous recovery can occur due to the reorganization of the damaged hemisphere [59] [60], making it hard to relate any ERD activation patterns to MI-BCI training.…”

Section: Discussionmentioning

confidence: 99%

Influence of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome in Chronic Stroke: A Longitudinal Study of Single Cases

Vourvopoulos

Blanco-Mora

Aldridge

et al. 2022

Preprint

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Background: Restorative Brain-Computer Interfaces (BCI's) can provide an alternative non-muscular channel for patients who lack volitional movement by reinforcing the modulation of sensorimotor rhythms through motor-imagery (MI). MI practice can be augmented through embodied feedback delivered by virtual reality (VR). Nonetheless, detailed information concerning the impact of VR-BCI training in clinical outcome is still largely missing. This paper investigates the long-term effect of VR-BCI training in brain activity patterns measured by the electroencephalogram (EEG) and clinical scales of stroke patients. Methods: Four chronic stroke patients underwent a 3-week VR-BCI intervention. Fugl-Meyer Assessment (FMA) was conducted pre-, post- intervention, and a follow-up, one-month later. The VR-BCI training consisted of a bimanual rowing task (NeuRow) involving MI and motor observation. From the EEG, the Event-related Desynchronization (ERD) was extracted from the Mu band (8-12 Hz). Finally, the BCI performance was computed from the BCI training session. Results: All patients showed significantly increased Mu ERD compared to baseline, however, the affected side showed reduced ERD during the contralateral MI. Significant ERD differences originating from both the lesioned and the healthy hemisphere were found when comparing post- with pre- intervention in all patients, and decreasing ERD was found for patients with no clinical improvement. Patients with decreased lateralization of ERD had no improvement of the FMA score. Conclusion: Stroke patients in the chronic phase can modulate their brain activity patterns using MI in a VR-BCI task, with observable patient-specific differences between brain activity and clinical outcome. Nonetheless, only patients with increased ERD lateralization showed clinical improvement.

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EEG Event-Related Desynchronization of patients with stroke during motor imagery of hand movement

Cited by 7 publications

References 4 publications

Brain–computer technology-based training system in the field of motor imagery

Brain–computer technology-based training system in the field of motor imagery

Neurorehabilitation therapy of patients with severe stroke based on functional electrical stimulation commanded by a brain computer interface

Influence of VR-based Brain-Computer Interfaces Training in Brain Activity and Clinical Outcome in Chronic Stroke: A Longitudinal Study of Single Cases

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