Review on the Use of Brain Computer Interface Rehabilitation Methods for Treating Mental and Neurological Conditions

Autor: Vladimir Khorev, Semen Kurkin, Artem Badarin, Vladimir Antipov, Elena Pitsik, Andrey Andreev, Vadim Grubov, Oxana Drapkina, Anton Kiselev, Alexander Hramov
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Integrative Neuroscience, Vol 23, Iss 7, p 125 (2024)
Druh dokumentu: article
ISSN: 0219-6352
DOI: 10.31083/j.jin2307125
Popis: This review provides a comprehensive examination of recent developments in both neurofeedback and brain-computer interface (BCI) within the medical field and rehabilitation. By analyzing and comparing results obtained with various tools and techniques, we aim to offer a systematic understanding of BCI applications concerning different modalities of neurofeedback and input data utilized. Our primary objective is to address the existing gap in the area of meta-reviews, which provides a more comprehensive outlook on the field, allowing for the assessment of the current landscape and developments within the scope of BCI. Our main methodologies include meta-analysis, search queries employing relevant keywords, and a network-based approach. We are dedicated to delivering an unbiased evaluation of BCI studies, elucidating the primary vectors of research development in this field. Our review encompasses a diverse range of applications, incorporating the use of brain-computer interfaces for rehabilitation and the treatment of various diagnoses, including those related to affective spectrum disorders. By encompassing a wide variety of use cases, we aim to offer a more comprehensive perspective on the utilization of neurofeedback treatments across different contexts. The structured and organized presentation of information, complemented by accompanying visualizations and diagrams, renders this review a valuable resource for scientists and researchers engaged in the domains of biofeedback and brain-computer interfaces.
Databáze: Directory of Open Access Journals