Template-based and model-based decoding of movie clip identities from brain hemodynamics with high-density diffuse optical tomography

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

doi:10.1117/12.2609038

28 April 2022 Template-based and model-based decoding of movie clip identities from brain hemodynamics with high-density diffuse optical tomography

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

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Proceedings Volume PC11946, Neural Imaging and Sensing 2022; PC119460I (2022) https://doi.org/10.1117/12.2609038
Event: SPIE BiOS, 2022, San Francisco, California, United States

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 movie clips was viewed by human subjects. Over 85% average decoding accuracy was achieved using a template-matching decoder. Average accuracy remained above 60% and above chance using a model-based decoder to identify 4 and 40 clips outside the decoder's training set, respectively. DOT therefore has potential for more-complex neural decoding tasks.

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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 "Template-based and model-based decoding of movie clip identities from brain hemodynamics with high-density diffuse optical tomography", Proc. SPIE PC11946, Neural Imaging and Sensing 2022, PC119460I (28 April 2022); https://doi.org/10.1117/12.2609038

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KEYWORDS

Brain

Diffuse optical tomography

Functional magnetic resonance imaging

Model-based design

Hemodynamics

Neuroimaging

Electroencephalography

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