Literature DB >> 25453036

Sensitivity of near-infrared spectroscopy and diffuse correlation spectroscopy to brain hemodynamics: simulations and experimental findings during hypercapnia.

Juliette Selb1, David A Boas1, Suk-Tak Chan1, Karleyton C Evans2, Erin M Buckley1, Stefan A Carp1.   

Abstract

Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) are two diffuse optical technologies for brain imaging that are sensitive to changes in hemoglobin concentrations and blood flow, respectively. Measurements for both modalities are acquired on the scalp, and therefore hemodynamic processes in the extracerebral vasculature confound the interpretation of cortical hemodynamic signals. The sensitivity of NIRS to the brain versus the extracerebral tissue and the contrast-to-noise ratio (CNR) of NIRS to cerebral hemodynamic responses have been well characterized, but the same has not been evaluated for DCS. This is important to assess in order to understand their relative capabilities in measuring cerebral physiological changes. We present Monte Carlo simulations on a head model that demonstrate that the relative brain-to-scalp sensitivity is about three times higher for DCS (0.3 at 3 cm) than for NIRS (0.1 at 3 cm). However, because DCS has higher levels of noise due to photon-counting detection, the CNR is similar for both modalities in response to a physiologically realistic simulation of brain activation. Even so, we also observed higher CNR of the hemodynamic response during graded hypercapnia in adult subjects with DCS than with NIRS.

Entities:  

Keywords:  diffuse correlation spectroscopy; functional brain imaging; hypercapnia; near-infrared spectroscopy

Year:  2014        PMID: 25453036      PMCID: PMC4247161          DOI: 10.1117/1.NPh.1.1.015005

Source DB:  PubMed          Journal:  Neurophotonics        ISSN: 2329-423X            Impact factor:   3.593


  82 in total

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3.  Determination of the wavelength dependence of the differential pathlength factor from near-infrared pulse signals.

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4.  Diffuse Optics for Tissue Monitoring and Tomography.

Authors:  T Durduran; R Choe; W B Baker; A G Yodh
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5.  Estimation of optical pathlength through tissue from direct time of flight measurement.

Authors:  D T Delpy; M Cope; P van der Zee; S Arridge; S Wray; J Wyatt
Journal:  Phys Med Biol       Date:  1988-12       Impact factor: 3.609

6.  Dynamics of the cerebral blood flow response to step changes in end-tidal PCO2 and PO2 in humans.

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7.  Simultaneously extracting multiple parameters via fitting one single autocorrelation function curve in diffuse correlation spectroscopy.

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8.  Variance of time-of-flight distribution is sensitive to cerebral blood flow as demonstrated by ICG bolus-tracking measurements in adult pigs.

Authors:  Jonathan T Elliott; Daniel Milej; Anna Gerega; Wojciech Weigl; Mamadou Diop; Laura B Morrison; Ting-Yim Lee; Adam Liebert; Keith St Lawrence
Journal:  Biomed Opt Express       Date:  2013-01-02       Impact factor: 3.732

9.  Direct measurement of tissue blood flow and metabolism with diffuse optics.

Authors:  Rickson C Mesquita; Turgut Durduran; Guoqiang Yu; Erin M Buckley; Meeri N Kim; Chao Zhou; Regine Choe; Ulas Sunar; Arjun G Yodh
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.019

10.  Due to intravascular multiple sequential scattering, Diffuse Correlation Spectroscopy of tissue primarily measures relative red blood cell motion within vessels.

Authors:  Stefan A Carp; Nadàege Roche-Labarbe; Maria-Angela Franceschini; Vivek J Srinivasan; Sava Sakadžić; David A Boas
Journal:  Biomed Opt Express       Date:  2011-06-24       Impact factor: 3.732

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  56 in total

1.  Pressure modulation algorithm to separate cerebral hemodynamic signals from extracerebral artifacts.

Authors:  Wesley B Baker; Ashwin B Parthasarathy; Tiffany S Ko; David R Busch; Kenneth Abramson; Shih-Yu Tzeng; Rickson C Mesquita; Turgut Durduran; Joel H Greenberg; David K Kung; Arjun G Yodh
Journal:  Neurophotonics       Date:  2015-08-04       Impact factor: 3.593

2.  Optimized multimodal functional magnetic resonance imaging/near-infrared spectroscopy probe for ultrahigh-resolution mapping.

Authors:  Lia Maria Hocke; Kenroy Cayetano; Yunjie Tong; Blaise Frederick
Journal:  Neurophotonics       Date:  2015-12-10       Impact factor: 3.593

3.  Relationship Between Age and Cerebral Hemodynamic Response to Breath Holding: A Functional Near-Infrared Spectroscopy Study.

Authors:  Keerthana Deepti Karunakaran; Katherine Ji; Donna Y Chen; Nancy D Chiaravalloti; Haijing Niu; Tara L Alvarez; Bharat B Biswal
Journal:  Brain Topogr       Date:  2021-02-05       Impact factor: 3.020

4.  Effect of motion artifacts and their correction on near-infrared spectroscopy oscillation data: a study in healthy subjects and stroke patients.

Authors:  Juliette Selb; Meryem A Yücel; Dorte Phillip; Henrik W Schytz; Helle K Iversen; Mark Vangel; Messoud Ashina; David A Boas
Journal:  J Biomed Opt       Date:  2015-05       Impact factor: 3.170

5.  Modified Beer-Lambert law for blood flow.

Authors:  Wesley B Baker; Ashwin B Parthasarathy; David R Busch; Rickson C Mesquita; Joel H Greenberg; A G Yodh
Journal:  Biomed Opt Express       Date:  2014-10-28       Impact factor: 3.732

6.  BabyLux device: a diffuse optical system integrating diffuse correlation spectroscopy and time-resolved near-infrared spectroscopy for the neuromonitoring of the premature newborn brain.

Authors:  Martina Giovannella; Davide Contini; Marco Pagliazzi; Antonio Pifferi; Lorenzo Spinelli; Rainer Erdmann; Roger Donat; Ignacio Rocchetti; Matthias Rehberger; Niels König; Robert Schmitt; Alessandro Torricelli; Turgut Durduran; Udo M Weigel
Journal:  Neurophotonics       Date:  2019-05-10       Impact factor: 3.593

7.  Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy.

Authors:  Hossein S Yazdi; Thomas D O'Sullivan; Anais Leproux; Brian Hill; Amanda Durkin; Seraphim Telep; Jesse Lam; Siavash S Yazdi; Alice M Police; Robert M Carroll; Freddie J Combs; Tomas Strömberg; Arjun G Yodh; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

8.  Assessment of a multi-layered diffuse correlation spectroscopy method for monitoring cerebral blood flow in adults.

Authors:  Kyle Verdecchia; Mamadou Diop; Albert Lee; Laura B Morrison; Ting-Yim Lee; Keith St Lawrence
Journal:  Biomed Opt Express       Date:  2016-08-24       Impact factor: 3.732

9.  Using a simulation approach to optimize time-domain diffuse correlation spectroscopy measurement on human head.

Authors:  Lina Qiu; Huiyi Cheng; Alessandro Torricelli; Jun Li
Journal:  Neurophotonics       Date:  2018-05-14       Impact factor: 3.593

10.  Detection of Brain Hypoxia Based on Noninvasive Optical Monitoring of Cerebral Blood Flow with Diffuse Correlation Spectroscopy.

Authors:  David R Busch; Ramani Balu; Wesley B Baker; Wensheng Guo; Lian He; Mamadou Diop; Daniel Milej; Venkaiah Kavuri; Olivia Amendolia; Keith St Lawrence; Arjun G Yodh; W Andrew Kofke
Journal:  Neurocrit Care       Date:  2019-02       Impact factor: 3.210

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