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Improving Efficiency of the Ideomotor Brain Computer Interface (BCI) in the Neurofeedback Paradigm

Student: Markina Anastasiia

Supervisor: Alexey Ossadtchi

Faculty: Faculty of Social Sciences

Educational Programme: Cognitive Sciences and Technologies: From Neuron to Cognition (Master)

Year of Graduation: 2018

In the present scientific research, we suggested that neurofeedback trainings in the direction of increasing the power of the sensorimotor rhythm (SMR) at the rest station will lead to an increase in the amplitude of the desynchronization signal, while performing or imagining the movement, which in turn will lead to an increase in the decoding accuracy in the ideomotor brain-computer interfaces (BCI). As a result it was found that training the SMR in the neurofeedback paradigm does indeed have a positive effect on the accuracy of the command classification (classificatory accuracy) in the ideomotor BCI. A positive result was observed in the experimental group, a negative result in the control group (subjects who received a feedback signal not associated with the current activity of the SMR). Moreover, for the first time we discovered an unexpected effect of the spatial reorganization of the SMR generator (by topography analysis) as a result of the trainings in the neurofeedback paradigm.

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