Use of Electroencephalography Brain‐Computer Interface Systems as a Rehabilitative Approach for Upper Limb Function After a Stroke: A Systematic Review

  title={Use of Electroencephalography Brain‐Computer Interface Systems as a Rehabilitative Approach for Upper Limb Function After a Stroke: A Systematic Review},
  author={Esther Monge-Pereira and Jaime Iba{\~n}ez-Pereda and Isabel M. Alguacil-Diego and Jos{\'e} Ignacio Serrano and Mar{\'i}a P Spottorno-Rubio and Francisco Molina-Rueda},

Brain-Computer Interfaces for upper limb motor rehabilitation of stroke patients

A review of up-to-date assessments of BCI for upper limb stroke rehabilitation is presented from the perspective of analyzing common and different design variables presented across studies, finding a trend towards significant rehabilitation outcomes with BCI systems can be highlighted.

Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: A systematic review

Neurofeedback training with brain-computer interface systems seem to promote clinical and neurophysiologic changes in stroke patients, in particular those with long-term efficacy.

Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review

The first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement identifies large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes.

Brain-Computer Interface Coupled to a Robotic Hand Orthosis for Stroke Patients’ Neurorehabilitation: A Crossover Feasibility Study

Outcome measurements implied that a BCI intervention using a robotic hand orthosis as feedback has the potential to elicit neuroplasticity-related mechanisms, similar to those observed during conventional therapy, even in a group of severely impaired stroke patients.

Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis

Evidence was showed that BCI training added to conventional therapy may enhance motor functioning of the upper extremity and brain function recovery in patients after a stroke, and a standardised evaluation of motor imagery ability of included patients was recommended.

Towards a mechanistic approach for the development of non‐invasive brain‐computer interfaces for motor rehabilitation

A classification of current BCI paradigms for plasticity induction and motor rehabilitation based on the expected neural plastic changes promoted is proposed and aims to serve as a starting point for future studies trying to elucidate the underlying plastic changes following BCI interventions.

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

The results suggest that the proposed therapy could be beneficial in the neurorehabilitation of stroke individuals.

Reorganization of Bioelectrical Activity in the Neocortex after Stroke by Rehabilitation Using a Brain–Computer Interface Controlling a Wrist Exoskeleton

Rehabilitation courses were followed by restoration of bioelectrical activity in the primary motor cortex due to recovery of efficient connections with the premotor and superior parietal zones and decreases in the pathological influences of the contralateral hemisphere.



Post-acute stroke patients use brain-computer interface to activate electrical stimulation

Through certain mental actions, our electroencephalogram (EEG) can be regulated to operate a brain-computer interface (BCI), which translates the EEG patterns into commands that can be used to

Brain–machine interface in chronic stroke rehabilitation: A controlled study

Evaluated efficacy of daily brain–machine interface (BMI) training to increase the hypothesized beneficial effects of physiotherapy alone in patients with severe paresis in a double‐blind sham‐controlled design proof of concept study.

Brain-Computer Interface in Stroke Rehabilitation

This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reports on data collected from stroke patients and clinical studies that reported on the motor improvements of stroke patients.

Brain-Computer Interface in Stroke: A Review of Progress

Brain-computer interface technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training, including an overview of a pilot study concerning a new neuro-forcefeedback strategy.

Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.

EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb

  • F. CincottiF. Pichiorri D. Mattia
  • Medicine, Psychology
    2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2012
It is found that the rehabilitation exercise based on BCI mediated neurofeedback mechanisms enables a better engagement of motor areas with respect to motor imagery alone and thus it can promote neuroplasticity in brain regions affected by a cerebrovascular accident.

Is motor-imagery brain-computer interface feasible in stroke rehabilitation?

  • W. TeoE. Chew
  • Medicine, Psychology
    PM & R : the journal of injury, function, and rehabilitation
  • 2014

Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study.

Brain-computer interface training appears to have yielded some improvement in motor function and brain plasticity in outpatients with chronic stroke.

Chronic stroke recovery after combined BCI training and physiotherapy: a case report.

A case of partial recovery after stroke and its associated brain reorganization in a chronic patient after combined brain computer interface (BCI) training and physiotherapy is presented, and a convergent association between functional and structural data in the ipsilesional premotor areas is observed.

Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study

It can be concluded that the BCI supported MI is a feasible intervention as part of a post-stroke rehabilitation protocol combining both PP and MI practice of rehabilitation tasks.