A Whole Head Ultra-High Density Diffuse Optical Tomography System for Naturalistic and Resting State Functional Human Brain Mapping

Fogarty, Morgan; Rafferty, Sean M.; O'Sullivan, Anthony C.; Svoboda, Calamity; Markow, Zachary E.; Richter, Edward J.; George, T.; King, Kevin F.; Wilhelm, David; Tripathy, Kalyan; Trobaugh, Jason W.; Eggebrecht, Adam T.; Culver, Joseph P.

doi:10.1364/brain.2023.bm2b.5

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“…Deep learning approaches 4,28 will also improve and expand decoding, but were not evaluated here because our dataset did not provide the large, broad pool of training data they require. 29…”

Section: Discussionmentioning

confidence: 99%

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

Markow,

Tripathy,

Svoboda

et al. 2023

Preprint

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Modern neuroimaging modalities, particularly functional MRI (fMRI), can decode detailed human experiences. Thousands of viewed images can be identified or classified, and sentences can be reconstructed. Decoding paradigms often leverage encoding models that reduce the stimulus space into a smaller yet generalizable feature set. However, the neuroimaging devices used for detailed decoding are non-portable, like fMRI, or invasive, like electrocorticography, excluding application in naturalistic use. Wearable, non-invasive, but lower-resolution devices such as electroencephalography and functional near-infrared spectroscopy (fNIRS) have been limited to decoding between stimuli used during training. Herein we develop and evaluate model-based decoding with high-density diffuse optical tomography (HD-DOT), a higher-resolution expansion of fNIRS with demonstrated promise as a surrogate for fMRI. Using a motion energy model of visual content, we decoded the identities of novel movie clips outside the training set with accuracy far above chance for single-trial decoding. Decoding was robust to modulations of testing time window, different training and test imaging sessions, hemodynamic contrast, and optode array density. Our results suggest that HD-DOT can translate detailed decoding into naturalistic use.

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Section: Discussionmentioning

confidence: 99%

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

Markow,

Tripathy,

Svoboda

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

A Whole Head Ultra-High Density Diffuse Optical Tomography System for Naturalistic and Resting State Functional Human Brain Mapping

Abstract: High-density diffuse optical tomography uses a dense array of overlapping measurements that provides functional brain images validated against fMRI. We doubled this optode density, improving resolution and expanding the field of view to whole-head coverage.

Cited by 1 publication

References 4 publications

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

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