Abstract
This paper presents a cognitive training based on a brain–computer interface (BCI) that was developed for an adult subject with an attention disorder. According to the neurofeedback methodology, the user processes in real time his own electrical brain activity, which is detected through a non-invasive EEG device. The subject was trained in actively self modulating his own electrical patterns within a play therapy by using a reward–based virtual environment. Moreover, a consumer easy–to–use EEG headset was used, in order to assess its suitability for a concrete clinical application. At the end of the training, the patient obtained a significant improvement in attention.
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Benedetti, F., Catenacci Volpi, N., Parisi, L., Sartori, G. (2014). Attention Training with an Easy–to–Use Brain Computer Interface. In: Shumaker, R., Lackey, S. (eds) Virtual, Augmented and Mixed Reality. Applications of Virtual and Augmented Reality. VAMR 2014. Lecture Notes in Computer Science, vol 8526. Springer, Cham. https://doi.org/10.1007/978-3-319-07464-1_22
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DOI: https://doi.org/10.1007/978-3-319-07464-1_22
Publisher Name: Springer, Cham
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