Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

Pillette, Léa; Lotte, Fabien; N’Kaoua, Bernard; Joseph, Pierre-Alain; Jeunet, Camille; Glize, Bertrand

doi:10.1016/j.nicl.2020.102417

Cited by 26 publications

(22 citation statements)

References 71 publications

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“…Gait and balance impairments due to limb deficits after a stroke are one of the main determinants associated with poorer functional recovery [ 40 , 41 ]. Since the survival rates of stroke patients have increased, developing more effective treatments to improve walking is one of the major goals of stroke rehabilitation [ 42 , 43 ]. However, there is a lack of well-defined rehabilitation protocols.…”

Section: Discussionmentioning

confidence: 99%

Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial

Zhao

Sun

et al. 2022

Neurol Ther

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Introduction: Stroke is always associated with a difficult functional recovery process. A brain-computer interface (BCI) is a technology which provides a direct connection between the human brain and external devices. The primary aim of this study was to determine whether training with a BCI-controlled robot can improve functions in patients with subacute stroke. Methods: Subacute stroke patients aged 32--68 years with a course of 2 weeks to 3 months were randomly assigned to the BCI group or to the sham group for a 4-week course. The primary outcome measures were Loewenstein Occupational Therapy Cognitive Assessment (LOCTA) and Fugl-Meyer Assessment for Lower Chen-Guang Zhao and Fen Ju contributed equally to this article as the co-first authors.

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Section: Discussionmentioning

confidence: 99%

Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial

Zhao

Sun

et al. 2022

Neurol Ther

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“…However, another controlled study found that visual feedback alone is not sufficient to evoke functional improvements [53]. Since somatosensory abilities are essential for patients to perceive the feedback provided by the BCI system, somatosensory impairments may significantly alter the efficiency of BCI-based rehabilitation [54]. Therefore, in this study, we adopted multiple modalities of feedback such as vision, hearing, and somatosensory.…”

Section: Discussionmentioning

confidence: 99%

Effect of BCI-Controlled Pedaling Training System With Multiple Modalities of Feedback on Motor and Cognitive Function Rehabilitation of Early Subacute Stroke Patients

Yuan¹,

Wang

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Furthermore, it can be assumed that the characteristics of the learners, particularly in terms of perceptual and processing resources, could influence the modality that should be favored to provide feedback [13,34]. The ability to imagine movements encompasses two components.…”

Section: Influence Of the Participants' Profile On Bci User Trainingmentioning

confidence: 99%

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

Pillette

N’Kaoua

Sabau

et al. 2021

MTI

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By performing motor-imagery tasks, for example, imagining hand movements, Motor-Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies, for example, neuroprosthesis, using their brain activity only. MI-BCI users need to train, usually using a unimodal visual feedback, to produce brain activity patterns that are recognizable by the system. The literature indicates that multimodal vibrotactile and visual feedback is more effective than unimodal visual feedback, at least for short term training. However, the multi-session influence of such multimodal feedback on MI-BCI user training remained unknown, so did the influence of the order of presentation of the feedback modalities. In our experiment, 16 participants trained to control a MI-BCI during five sessions with a realistic visual feedback and five others with both a realistic visual feedback and a vibrotactile one. training benefits from a multimodal feedback, in terms of performances and self-reported mindfulness. There is also a significant influence of the order presentation of the modality. Participants who started training with a visual feedback had higher performances than those who started training with a multimodal feedback. We recommend taking into account the order of presentation for future experiments assessing the influence of several modalities of feedback.

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Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

Cited by 26 publications

References 71 publications

Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial

Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial

Effect of BCI-Controlled Pedaling Training System With Multiple Modalities of Feedback on Motor and Cognitive Function Rehabilitation of Early Subacute Stroke Patients

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

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