Brain-Computer Interface-Based Procedure for The Improvement of Autism

Abstract

Brain-computer interface refers to the computer-based system that acquires neural signals in human brains, analyses and translates them into data and commands that can be further studies via algorithm. These features introduce new opportunities in the treatment of neuropsychological disorders, opening the door to many advances in the field. Although there have been many pharmacological and counselling therapies for psychological disorders over the last few decades, we are not aware of any complete cure programme that can cure some spontaneous neurological disorders such as autism (ASD). In contrast, there are new breakthroughs and significant advances in BCI technology, which uses external stimulation and guidance to treat internal neuronal problems. This paper highlights research conducted to provide knowledge on the application of BCI-based interventions for Memory, recognition, understanding, cooperation, correspondence, and emotional development. The application of non-invasive treatment of autism for BCI types is investigated based on representative, and latest research in the field. The paper also discusses the progress and further improvement of BCI research, while investigating different BCI paradigms, and the long-term effects of this technology. The future directions for researching BCI-based applications are discussed for reconstruction and mentoring of patients with ASD.