@inproceedings{2220902739e84a84badc1819c44de402,
title = "Attention Training with an Easy–to–Use Brain Computer Interface",
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.",
keywords = "Play therapy, Attention training, Rehabilitation, Brain–computer interface (BCI), Neurofeedback",
author = "Filippo Benedetti and {Catenacci Volpi}, Nicola and Leonardo Parisi and Giuseppe Sartori",
year = "2014",
doi = "10.1007/978-3-319-07464-1_22",
language = "English",
isbn = "978-3-319-07463-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "236--247",
editor = "R. Shumaker and S. Lackey",
booktitle = "Virtual, Augmented and Mixed Reality. Applications of Virtual and Augmented Reality. VAMR 2014",
address = "Netherlands",
}