Stroke Clinical Trial
Official title:
Neurofeedback Training of Alpha-band Coherence After Stroke: a Randomized Controlled Crossover Trial
Background: The technology of brain-computer interfaces (BCI) enables the monitoring of
brain activity and the generation of a real-time output about specific changes in activity
patterns. The recorded subject receives a feedback about the neural activity associated
his/her efforts and can thus learn to voluntarily modulate brain activity. There is
accumulating evidence that training of motor cortex activations with brain-computer
interface systems can enhance recovery in stroke patients. Here we propose a new approach
which trains resting-state correlates of motor performance instead of activations related to
movements. Previous studies have shown that the more resting-state alpha oscillations in the
motor cortex are coherent with the rest of the brain, the better stroke patients perform in
motor tasks. Furthermore, observational studies have suggested that training of alpha-band
coherence in the motor cortex with neurofeedback has beneficial effects on motor
performance.
Objective : This randomized controlled study aims to test the usefulness of training
functional connectivity between the motor cortex and the rest of the brain with a
brain-computer interface in patients with chronic stroke. We hypothesized that this network
variant of neurofeedback training will lead to region and frequency specific increases in
functional connectivity and to an improved function of the affected upper extremity.
Methods : 10 patients with chronic stroke and significant unilateral deficit of upper
extremity motor function will perform two periods of neurofeedback training in a randomized
cross-over design. In one period, they will train alpha-band coherence between intact areas
around the affected motor cortex and the rest of the brain. In a control period, they will
train alpha-band coherence between a control region not directly related to motor function
(the medial prefrontal cortex of the healthy hemisphere) and the rest of the brain. In each
period, two training sessions per week will be performed for 4 weeks. The periods are
separated by at least 4 weeks. Oscillations in the brain will be reconstructed from 128 EEG
channels using an adaptive spatial filter and the coherence between the target area and the
rest of the brain will be calculated in real time. Coherence magnitude will be displayed in
the form of a cursor on a computer screen.
Significance: This study may provide causal evidence for a role of functional connectivity
in motor learning and may lead to new strategies for rehabilitation.
n/a
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Crossover Assignment, Masking: Double Blind (Subject, Outcomes Assessor), Primary Purpose: Treatment
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