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 in | Frontiers in Neuroscience Vol. 16; p. 932119 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media SA
01.08.2022
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
ISSN | 1662-453X 1662-4548 1662-453X |
DOI | 10.3389/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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |