Functional Time Domain Diffuse Correlation Spectroscopy

Nisan Ozana; Niyom Lue; Marco Renna; Mitchell B. Robinson; Alyssa Martin; Alexander I. Zavriyev; Bryce Carr; Dibbyan Mazumder; Megan H. Blackwell; Maria A. Franceschini; Stefan A. Carp

doi:10.3389/fnins.2022.932119

Functional Time Domain Diffuse Correlation Spectroscopy

Nisan Ozana, Niyom Lue, Marco Renna, Mitchell B. Robinson, Alyssa Martin, Alexander I. Zavriyev, Bryce Carr, Dibbyan Mazumder, Megan H. Blackwell, Maria A. Franceschini, Stefan A. Carp

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Time-domain diffuse correlation spectroscopy (TD-DCS) offers a novel approach to high-spatial resolution functional brain imaging based on the direct quantification of cerebral blood flow (CBF) changes in response to neural activity. However, the signal-to-noise ratio (SNR) offered by previous TD-DCS instruments remains a challenge to achieving the high temporal resolution needed to resolve perfusion changes during functional measurements. Here we present a next-generation optimized functional TD-DCS system that combines a custom 1,064 nm pulse-shaped, quasi transform-limited, amplified laser source with a high-resolution time-tagging system and superconducting nanowire single-photon detectors (SNSPDs). System characterization and optimization was conducted on homogenous and two-layer intralipid phantoms before performing functional CBF measurements in six human subjects. By acquiring CBF signals at over 5 Hz for a late gate start time of the temporal point spread function (TPSF) at 15 mm source-detector separation, we demonstrate for the first time the measurement of blood flow responses to breath-holding and functional tasks using TD-DCS.

Original language	English
Article number	932119
Journal	Frontiers in Neuroscience
Volume	16
DOIs	https://doi.org/10.3389/fnins.2022.932119
State	Published - 1 Aug 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
Copyright © 2022 Ozana, Lue, Renna, Robinson, Martin, Zavriyev, Carr, Mazumder, Blackwell, Franceschini and Carp.

Funding

This work was supported by the National Institutes of Health (NIH), U01EB028660 and R01NS100750. MBR was supported by Grant F31NS118753.

Funders	Funder number
National Institutes of Health	R01NS100750, U01EB028660, F31NS118753

Keywords

cerebral blood flow
diffuse correlation spectroscopy (DCS)
fNIRS (functional near infrared spectroscopy)
neuroimaging (anatomic and functional)
optical neuroimaging

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abstract = "Time-domain diffuse correlation spectroscopy (TD-DCS) offers a novel approach to high-spatial resolution functional brain imaging based on the direct quantification of cerebral blood flow (CBF) changes in response to neural activity. However, the signal-to-noise ratio (SNR) offered by previous TD-DCS instruments remains a challenge to achieving the high temporal resolution needed to resolve perfusion changes during functional measurements. Here we present a next-generation optimized functional TD-DCS system that combines a custom 1,064 nm pulse-shaped, quasi transform-limited, amplified laser source with a high-resolution time-tagging system and superconducting nanowire single-photon detectors (SNSPDs). System characterization and optimization was conducted on homogenous and two-layer intralipid phantoms before performing functional CBF measurements in six human subjects. By acquiring CBF signals at over 5 Hz for a late gate start time of the temporal point spread function (TPSF) at 15 mm source-detector separation, we demonstrate for the first time the measurement of blood flow responses to breath-holding and functional tasks using TD-DCS.",

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doi = "10.3389/fnins.2022.932119",

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Functional Time Domain Diffuse Correlation Spectroscopy

Abstract

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Keywords

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