BCI2000Web and WebFM: Browser-Based Tools for Brain Computer Interfaces and Functional Brain Mapping

• Published in: Frontiers in neuroscience Vol. 12; p. 1030
• Main Authors: Milsap, Griffin, Collard, Max, Coogan, Christopher, Crone, Nathan E
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 13.02.2019; Frontiers Media S.A
• Subjects: brain computer interface (BCI); Brain mapping; Brain research; Communication; Computer music; Convulsions & seizures; electrocorticogram (ECoG); Electrodes; functional brain mapping; Interfaces; Language; Neuroscience; Open source software; Patients; Process controls; Signal processing; visualization; web browser; Web browsers; United States > US; Baltimore Maryland; electrocorticogram (ECoG); brain computer interface (BCI); visualization; web browser; functional brain mapping
• ISSN: 1662-4548; 1662-453X; 1662-453X
• DOI: 10.3389/fnins.2018.01030

BCI2000 has been a popular platform for development of real-time brain computer interfaces (BCIs). Since BCI2000's initial release, web browsers have evolved considerably, enabling rapid development of internet-enabled applications and interactive visualizations. Linking the amplifier abstraction and signal processing native to BCI2000 with the host of technologies and ease of development afforded by modern web browsers could enable a new generation of browser-based BCIs and visualizations. We developed a server and filter module called BCI2000Web providing an HTTP connection capable of escalation into an RFC6455 WebSocket, which enables direct communication between a browser and a BCI2000 distribution in real-time, facilitating a number of novel applications. We also present a JavaScript module, bci2k.js, that allows web developers to create paradigms and visualizations using this interface in an easy-to-use and intuitive manner. To illustrate the utility of BCI2000Web, we demonstrate a browser-based implementation of a real-time electrocorticographic (ECoG) functional mapping suite called WebFM. We also explore how the unique characteristics of our browser-based framework make BCI2000Web an attractive tool for future BCI applications. BCI2000Web leverages the advances of BCI2000 to provide real-time browser-based interactions with human neurophysiological recordings, allowing for web-based BCIs and other applications, including real-time functional brain mapping. Both BCI2000 and WebFM are provided under open source licenses. Enabling a powerful BCI suite to communicate with today's most technologically progressive software empowers a new cohort of developers to engage with BCI technology, and could serve as a platform for internet-enabled BCIs.