Scalable, modular continuous wave functional near-infrared spectroscopy system (Spotlight)
Daniel Anaya, Gautam Batra, Peter Bracewell, Ryan Catoen, Dev P. Chakraborty, Mark A. Chevillet, Pradeep Damodara, Alvin Dominguez, Laurence Emms, Zifan Jiang, Ealgoo Kim, Keith Klumb, Frances Lau, Rosemary Le, Jamie Li, Brett Mateo, Laura Y. Matloff, Asha Mehta, Emily M. Mugler, Akansh Murthy, Sho Nakagome, Ryan Orendorff, E-Fann Saung, Roland F. Schwarz, Ruben Sethi, Rudy Sevile, A. K. Srivastava, John P. Sundberg, Ying Yang, Allen Yin
Abstract
Significance: We present a fiberless, portable, and modular continuous wave-functional near-infrared spectroscopy system, Spotlight, consisting of multiple palm-sized modules-each containing high-density light-emitting diode and silicon photomultiplier detector arrays embedded in a flexible membrane that facilitates optode coupling to scalp curvature. Aim: Spotlight's goal is to be a more portable, accessible, and powerful functional near-infrared spectroscopy (fNIRS) device for neuroscience and brain-computer interface (BCI) applications. We hope that the Spotlight designs we share here can spur more advances in fNIRS technology and better enable future non-invasive neuroscience and BCI research. Approach: We report sensor characteristics in system validation on phantoms and motor cortical hemodynamic responses in a human finger-tapping experiment, where subjects wore custom 3D-printed caps with two sensor modules. Results: The task conditions can be decoded offline with a median accuracy of 69.6%, reaching 94.7% for the best subject, and at a comparable accuracy in real time for a subset of subjects. We quantified how well the custom caps fitted to each subject and observed that better fit leads to more observed task-dependent hemodynamic response and better decoding accuracy. Conclusions: The advances presented here should serve to make fNIRS more accessible for BCI applications.