Evaluation of neural information content from the phase component of a 32-channel frequency-domain fNIRS system

Clara A. Scholl, Jeremiah J. Wathen, Michael J. Fitch, Griffin W. Milsap, Margaret C. Thompson, Marisel Villafañe-Delgado, Kachi Odoemene, Adam Eggebrecht, Zachary E. Markow, Edward J. Richter, Jason W. Trobaugh, Joseph P. Culver, David W. Blodgett, Scott M. Hendrickson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present a 32-transmitter, 32-receiver dual-wavelength frequency-domain (FD) fNIRS system comprised of commercially available avalanche photodiodes, laser drivers and laser mounts. The custom frequency domain (FD) fNIRS system is used to interrogate cerebral tissue with optodes positioned at the posterior occipital region of the head. Data are collected from human subjects watching movie scenes with no sound. We applied cross-validated PCA to identify the number of dimensions retained in the neural signal recorded using FD-fNIRS for the magnitude, phase, and FD (magnitude and phase combined) components of the recorded signal. Importantly, a comparison of the cross-validation error for each signal allows us quantify the dimensionality of the linear subspace spanned by each data type. The number of principal components producing the minimum cross-validation error for the held-out test runs represents the number of orthogonal signal dimensions preserved across training and held-out test data runs. We find that the FD signal captures a higher dimensional space compared to the magnitude or phase signals in isolation. Previous theoretical and empirical work suggest that signals extracted using FD-fNIRS contain higher fidelity neural information than CW-fNIRS in isolation. The findings reported here further support this hypothesis and extend beyond the findings reported in the literature, demonstrating that a higher dimension linear subspace is covered by FD-fNIRS above and beyond the baseline signal captured using traditional CW-fNIRS, assuming other optical performance metrics such as optical dynamic range, noise-equivalent power and cross-talk are comparable. This work was funded by a research contract under Facebook’s Sponsored Academic Research Agreement.

Original languageEnglish
Title of host publicationOptical Techniques in Neurosurgery, Neurophotonics, and Optogenetics
EditorsV. X. D. Yang, Q. M. Luo, S. K. Mohanty, J. Ding, A. W. Roe, J. M. Kainerstorfer, L. Fu, S. Shoham
PublisherSPIE
ISBN (Electronic)9781510640931
DOIs
StatePublished - 2021
EventOptical Techniques in Neurosurgery, Neurophotonics, and Optogenetics 2021 - Virtual, Online, United States
Duration: Mar 6 2021Mar 11 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11629
ISSN (Print)1605-7422

Conference

ConferenceOptical Techniques in Neurosurgery, Neurophotonics, and Optogenetics 2021
Country/TerritoryUnited States
CityVirtual, Online
Period03/6/2103/11/21

Keywords

  • Frequency domain
  • Functional imaging
  • Functional near-infrared imaging
  • Functional neuroimaging
  • Near infrared spectroscopy
  • Visual cortex

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