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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377452/ https://www.ncbi.nlm.nih.gov/pubmed/35979338 http://dx.doi.org/10.3389/fnins.2022.932119 |
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author | 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. |
author_facet | 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. |
author_sort | Ozana, Nisan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9377452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93774522022-08-16 Functional Time Domain Diffuse Correlation Spectroscopy 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. Front Neurosci Neuroscience 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. Frontiers Media S.A. 2022-08-01 /pmc/articles/PMC9377452/ /pubmed/35979338 http://dx.doi.org/10.3389/fnins.2022.932119 Text en Copyright © 2022 Ozana, Lue, Renna, Robinson, Martin, Zavriyev, Carr, Mazumder, Blackwell, Franceschini and Carp. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience 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. Functional Time Domain Diffuse Correlation Spectroscopy |
title | Functional Time Domain Diffuse Correlation Spectroscopy |
title_full | Functional Time Domain Diffuse Correlation Spectroscopy |
title_fullStr | Functional Time Domain Diffuse Correlation Spectroscopy |
title_full_unstemmed | Functional Time Domain Diffuse Correlation Spectroscopy |
title_short | Functional Time Domain Diffuse Correlation Spectroscopy |
title_sort | functional time domain diffuse correlation spectroscopy |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377452/ https://www.ncbi.nlm.nih.gov/pubmed/35979338 http://dx.doi.org/10.3389/fnins.2022.932119 |
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