Functional Time Domain Diffuse Correlation Spectroscopy

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-DC...

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Published inFrontiers in Neuroscience Vol. 16; p. 932119
Main Authors Ozana, Nisan, Lue, Niyom, Renna, Marco, Robinson, Mitchell B., Martin, Alyssa, Zavriyev, Alexander I., Carr, Bryce, Mazumder, Dibbyan, Blackwell, Megan H., Franceschini, Maria A., Carp, Stefan A.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media SA 01.08.2022
Frontiers Media S.A
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ISSN1662-453X
1662-4548
1662-453X
DOI10.3389/fnins.2022.932119

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Summary: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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Edited by: Yumie Ono, Meiji University, Japan
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
Reviewed by: Goro Nishimura, Hokkaido University, Japan; Veronika Parfentyeva, The Institute of Photonic Sciences (ICFO), Spain
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2022.932119