Tactile Sensation Assisted Motor Imagery Training for Enhanced BCI Performance: A Randomized Controlled Study

Zhong, Yucun; Yao, Lin; Wang, Ji; Wang, Yueming

doi:10.1109/tbme.2022.3201241

Cited by 11 publications

(15 citation statements)

References 46 publications

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“…We suppose that somatosensory mental images are easier to perform and the learning of tactile imagery is more regulated and understandable compared to motor imagery, thus TIbased BCIs could be more useful and lower barriers to entry compared to MI-BCIs. There are a lot of studies showing the usefulness of tactile feedback and tactile stimulation during motor imagery training and MI-BCI control [69][70][71]. We believe that the positive effect of TS on the learning on kinesthetic imagination of movements may be associated with the use of mental tactile sensations (i.e.…”

Section: Tactile Imagery Perspectivesmentioning

confidence: 97%

Event-Related Desynchronization induced by Tactile Imagery: an EEG Study

Yakovlev

Syrov

Miroshnikov

et al. 2022

Preprint

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It is well known that both the movement of the hand itself and the mental representation of it lead to event-related desynchronization (ERD) of EEG recorded over the corresponding motor areas of the cerebral cortex. Similarly, in somatosensory cortical areas, ERD occurs upon tactile stimulation of the hand, but whether this effect is caused by mental representation of sensations from tactile stimulation remains poorly understood. In the present study, the effects on the EEG of imaginary vibrotactile sensations on the right hand were compared with the effects of real vibrotactile stimulation. Both actual vibrotactile stimulation and mental representation of it have been found to elicit contralateral ERD patterns, particularly prominent in the μ-band and most pronounced in the C3 region. The paper discusses tactile imagery as a part of the complex sensorimotor mental image and its prospects for using EEG patterns of imagery-induced tactile sensations as control signals in BCI circuits independently and when combined with ERD based on movement imagination to improve the efficiency of neurointerface technologies in rehabilitation medicine, in particular, to restore movements after a stroke and neurotrauma.

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Section: Tactile Imagery Perspectivesmentioning

confidence: 97%

Event-Related Desynchronization induced by Tactile Imagery: an EEG Study

Yakovlev

Syrov

Miroshnikov

et al. 2022

Preprint

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“…Additionally, our approach is methodologically different from other tactile BCIs that utilize ERPs (mainly P300) for control, since we employed equal probability of target and distractor stimulus occurrence. This approach is different from classical oddball paradigm employed in other tactile ERP BCIs where the target (deviant, odd) stimuli is less frequent than the standard, and different from studies employing several targets of the same, smaller, probability compared to distractor stimuli (Guger et al, 2017;Spataro et al, 2018;Yao et al, 2022;Zhong et al, 2023). Guger et al (2017) and Spataro et al (2018) in one of their paradigms utilized vibrotactile stimulation on left/right wrists (targets) and distractor on the shoulder or back in order to induce P300 responses.…”

Section: Discussionmentioning

confidence: 99%

Novel electrotactile brain-computer interface with somatosensory event-related potential based control

Savić

Novičić

Ðorđević

et al. 2023

Front. Hum. Neurosci.

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ObjectiveA brain computer interface (BCI) allows users to control external devices using non-invasive brain recordings, such as electroencephalography (EEG). We developed and tested a novel electrotactile BCI prototype based on somatosensory event-related potentials (sERP) as control signals, paired with a tactile attention task as a control paradigm.ApproachA novel electrotactile BCI comprises commercial EEG device, an electrical stimulator and custom software for EEG recordings, electrical stimulation control, synchronization between devices, signal processing, feature extraction, selection, and classification. We tested a novel BCI control paradigm based on tactile attention on a sensation at a target stimulation location on the forearm. Tactile stimuli were electrical pulses delivered at two proximal locations on the user’s forearm for stimulating branches of radial and median nerves, with equal probability of the target and distractor stimuli occurrence, unlike in any other ERP-based BCI design. We proposed a compact electrical stimulation electrodes configuration for delivering electrotactile stimuli (target and distractor) using 2 stimulation channels and 3 stimulation electrodes. We tested the feasibility of a single EEG channel BCI control, to determine pseudo-online BCI performance, in ten healthy subjects. For optimizing the BCI performance we compared the results for two classifiers, sERP averaging approaches, and novel dedicated feature extraction/selection methods via cross-validation procedures.Main resultsWe achieved a single EEG channel BCI classification accuracy in the range of 75.1 to 88.1% for all subjects. We have established an optimal combination of: single trial averaging to obtain sERP, feature extraction/selection methods and classification approach.SignificanceThe obtained results demonstrate that a novel electrotactile BCI paradigm with equal probability of attended (target) and unattended (distractor) stimuli and proximal stimulation sites is feasible. This method may be used to drive restorative BCIs for sensory retraining in stroke or brain injury, or assistive BCIs for communication in severely disabled users.

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“…Several works have also shown that it can improve the accuracy of motor attempt/imagination when performing BCI experiments. Notable examples are the studies presented in Yao et al ( 2017 ), Shu et al ( 2018 ), Yao et al ( 2018b ), and Zhong et al ( 2022 ), showing the advantage of including tactile sensation concurrent to the performance of motor tasks.…”

Section: Design Of Brain-based Neural Interfaces For Motor Rehabilita...mentioning

confidence: 99%

“…Thus, rehabilitation schemes that involve multisensory feedback might have the potential to improve current outcomes. Examples of those are systems combining robot-driven actuations and electric or magnetic stimulation, immersive visual and auditory feedback by, e.g., embedding the training in a virtual world, or tactile stimulation (Hu et al, 2015 ; Resqúın et al, 2016 ; Straudi et al, 2016 ; Nam et al, 2017 ; Zhong et al, 2022 ).…”

Section: Design Of Brain-based Neural Interfaces For Motor Rehabilita...mentioning

confidence: 99%

Challenges of neural interfaces for stroke motor rehabilitation

Vidaurre,

Irastorza-Landa,

Sarasola-Sanz

et al. 2023

Front. Hum. Neurosci.

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More than 85% of stroke survivors suffer from different degrees of disability for the rest of their lives. They will require support that can vary from occasional to full time assistance. These conditions are also associated to an enormous economic impact for their families and health care systems. Current rehabilitation treatments have limited efficacy and their long-term effect is controversial. Here we review different challenges related to the design and development of neural interfaces for rehabilitative purposes. We analyze current bibliographic evidence of the effect of neuro-feedback in functional motor rehabilitation of stroke patients. We highlight the potential of these systems to reconnect brain and muscles. We also describe all aspects that should be taken into account to restore motor control. Our aim with this work is to help researchers designing interfaces that demonstrate and validate neuromodulation strategies to enforce a contingent and functional neural linkage between the central and the peripheral nervous system. We thus give clues to design systems that can improve or/and re-activate neuroplastic mechanisms and open a new recovery window for stroke patients.

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Tactile Sensation Assisted Motor Imagery Training for Enhanced BCI Performance: A Randomized Controlled Study

Cited by 11 publications

References 46 publications

Event-Related Desynchronization induced by Tactile Imagery: an EEG Study

Event-Related Desynchronization induced by Tactile Imagery: an EEG Study

Novel electrotactile brain-computer interface with somatosensory event-related potential based control

Challenges of neural interfaces for stroke motor rehabilitation

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