Poster Session A, Saturday, March 23, 1:30 pm - 3:30 pm, Pacific Concourse
mindHIVE: An accessible cognitive neuroscience research platform for students and researchers
Suzanne Dikker1, Henry Valk1, Dano Morrison, Kimberly Burgas, Steven Azeka1, Teon Brooks, Wendy Suzuki1, Ido Davidesco1, David Poeppel1; 1New York University
Recent technological developments have made electroencephalography (EEG) equipment increasingly affordable and accessible. For example, our group has successfully introduced low-cost EEG devices into schools both for research and educational purposes, engaging students in scientific inquiry in a hands-on manner. However, EEG experimentation still requires extensive in-person support from someone with an advanced neuroscience degree and substantial programming skills: Each step—study design, data collection, analysis—is typically handled by different applications, often without a graphical user interface (GUI). To bridge this hardware-software gap, we developed an all-in-one GUI-based platform that guides users through the process of conducting cognitive neuroscience research via (a) intuitive experiment design features (e.g., sliders and ‘drag-and-drop’ components to adapt stimuli, duration, etc.); (b) a data visualizer that supports automatic and visual cleaning; (c) a simple analysis engine that computes Event-Related Potentials (ERPs), frequency spectra, and behavioral results; (d) a workspace that assists in generating research reports. The platform is offered alongside a comprehensive neuroscience curriculum, BrainWaves, currently implemented in 30 underserved schools in New York. We also developed a ready-to-use wireless EEG device (OpenBCI amplifier) that addresses remaining limitations of existing low-cost hardware (data access, accommodation for all hair/head types, electrode locations, fragile components). Initial testing demonstrates its ability to obtain several canonical ERPs and a signal-to-noise ratio comparable to research-grade EEG equipment. In sum, mindHIVE is a comprehensive software/hardware solution that enables students to independently conduct neuroscience/behavioral studies, paving the way for a range of real-world citizen science research and educational applications.
Topic Area: METHODS: Electrophysiology