Attention Training with an Easy–to–Use Brain Computer Interface

Filippo Benedetti, Nicola Catenacci Volpi, Leonardo Parisi, Giuseppe Sartori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationVirtual, Augmented and Mixed Reality. Applications of Virtual and Augmented Reality. VAMR 2014
EditorsR. Shumaker, S. Lackey
PublisherSpringer Nature
Number of pages12
ISBN (Electronic)978-3-319-07464-1
ISBN (Print)978-3-319-07463-4
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham


  • Play therapy
  • Attention training
  • Rehabilitation
  • Brain–computer interface (BCI)
  • Neurofeedback


Dive into the research topics of 'Attention Training with an Easy–to–Use Brain Computer Interface'. Together they form a unique fingerprint.

Cite this