Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training. Most publications have demonstrated the efficacy of BCI technology in post-stroke rehabilitation using output devices such as Functional Electrical Stimulation, robot, and orthosis. The aim of this review is to focus on the progress of BCI-based rehabilitation strategies and to underline future challenges. A brief history of clinical BCI-approaches is presented focusing on stroke motor rehabilitation. A context for three approaches of a BCI-based motor rehabilitation program is outlined: the substitutive strategy, classical conditioning and operant conditioning. Furthermore, we include an overview of a pilot study concerning a new neuro-forcefeedback strategy. This pilot study involved healthy participants. Finally we address some challenges for future BCI-based rehabilitation.
We conducted a pilot telerehabilitation study with post-stroke patients with arm motor impairment. We compared the degree of satisfaction of patients undergoing a virtual reality (VR) therapy programme at home (Tele-VR group) to satisfaction experienced by those undergoing the same VR therapy in a hospital setting (VR-group). The rehabilitation equipment used a 3D motion tracking system to create a virtual environment in which the patient's movement was represented. In tele-therapy, the patient equipment was installed in their homes, connected to the hospital by four ISDN lines at a total bandwidth of 512 kbit/s. Rehabilitation data were transmitted via one line and videoconferencing via the other three. Ten patients with mild to intermediate arm motor impairment due to an ischaemic stroke, were randomized into VR or Tele-VR groups. A questionnaire was used at the end of treatment to measure each patient's degree of satisfaction. Tele-VR treated patients showed median values equal to or higher than the VR group patients in all 12 items investigated, except one. In motor performance, the Tele-VR group improved significantly (P < or = 0.05), while the VR group showed no significant change. Patients assigned to the Tele-VR group were able to engage in therapy at home and the videoconferencing system ensured a good relationship between the patient and the physical therapist whose physical proximity was not required.
To describe results of training and 1-year follow-up of brain-communication in a larger group of early and middle stage amyotrophic lateral sclerosis (ALS) patients using a P300-based brain–computer interface (BCI), and to investigate the relationship between clinical status, age and BCI performance. A group of 21 ALS patients were tested with a BCI-system using two-dimensional cursor movements. A four choice visual paradigm was employed to training and test the brain-communication abilities. The task consisted of reaching with the cursor one out of four icons representing four basic needs. Five patients performed a follow-up test 1 year later. The clinical severity in all patients were assessed with a battery of clinical tests. A comparable control group of nine healthy subjects was employed to investigate performance differences. Nineteen patients and nine healthy subjects were able to achieve good and excellent cursor movements' control, acquiring at least communication abilities above chance level; during follow-up the patients maintained their BCI-skill. We found mild cognitive impairments in the ALS group which may be attributed to motor deficiencies, while no relevant correlation has been found between clinical data and BCI performance. A positive correlation between age and the BCI-skill in patients was found. Time since training acquisition and clinical status did not affect the patients brain-communication skill at early and middle stage of the disease. A brain-communication tool can be used in most ALS patients at early and middle stage of the disease before entering the locked-in stage.
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