Presentation
5 March 2021 Decoding naturalistic movie clip identities from diffuse optical tomography measures of human brain activity
Zachary E. Markow, Kalyan Tripathy, Jason W. Trobaugh, Alexa M. Svoboda, Mariel L. Schroeder, Sean M. Rafferty, Edward J. Richter, Adam T. Eggebrecht, Mark A. Anastasio, Joseph P. Culver
Author Affiliations +
Abstract
Functional magnetic resonance imaging has decoded complex information about naturalistic stimuli using brain responses, but other non-invasive technologies have not achieved similar decoding capabilities. To evaluate feasibility of naturalistic visual decoding with diffuse optical tomography (DOT), a 6.5-mm-spaced optode grid was employed to decode which of four naturalistic, 90-second, audio-free movie clips was viewed by human subjects. Over 85% average decoding accuracy was achieved using a simple template-matching decoder, and this exceeded the accuracy from a sparser optode grid with 13-mm spacing. High-density DOT is therefore promising for more-complex neural decoding tasks in the future.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zachary E. Markow, Kalyan Tripathy, Jason W. Trobaugh, Alexa M. Svoboda, Mariel L. Schroeder, Sean M. Rafferty, Edward J. Richter, Adam T. Eggebrecht, Mark A. Anastasio, and Joseph P. Culver "Decoding naturalistic movie clip identities from diffuse optical tomography measures of human brain activity", Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116291K (5 March 2021); https://doi.org/10.1117/12.2578609
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KEYWORDS
Brain

Functional magnetic resonance imaging

Neuroimaging

Electroencephalography

Blood

Diffuse optical tomography

Interfaces

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