Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure

Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub&...
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Autor*in:	Deepshikha Acharya [verfasserIn] Ankita Mukherjea [verfasserIn] Jiaming Cao [verfasserIn] Alexander Ruesch [verfasserIn] Samantha Schmitt [verfasserIn] Jason Yang [verfasserIn] Matthew A. Smith [verfasserIn] Jana M. Kainerstorfer [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	cerebral metabolic rate of oxygen cerebral tissue oxygenation cerebral perfusion pressure cerebral autoregulation diffuse optics

Übergeordnetes Werk:	In: Metabolites - MDPI AG, 2012, 12(2022), 7, p 667
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:7, p 667

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/metabo12070667

Katalog-ID:	DOAJ026213257

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520			\|a Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub<2</sub< estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO<sub<2</sub< estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO<sub<2</sub< and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO<sub<2</sub</blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies.
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allfieldsSound	10.3390/metabo12070667 doi (DE-627)DOAJ026213257 (DE-599)DOAJ81739eac2cf942d6962ea16b249d9a5f DE-627 ger DE-627 rakwb eng QR1-502 Deepshikha Acharya verfasserin aut Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub<2</sub< estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO<sub<2</sub< estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO<sub<2</sub< and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO<sub<2</sub</blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies. cerebral metabolic rate of oxygen cerebral tissue oxygenation cerebral perfusion pressure cerebral autoregulation diffuse optics Microbiology Ankita Mukherjea verfasserin aut Jiaming Cao verfasserin aut Alexander Ruesch verfasserin aut Samantha Schmitt verfasserin aut Jason Yang verfasserin aut Matthew A. Smith verfasserin aut Jana M. Kainerstorfer verfasserin aut In Metabolites MDPI AG, 2012 12(2022), 7, p 667 (DE-627)718627164 (DE-600)2662251-8 22181989 nnns volume:12 year:2022 number:7, p 667 https://doi.org/10.3390/metabo12070667 kostenfrei https://doaj.org/article/81739eac2cf942d6962ea16b249d9a5f kostenfrei https://www.mdpi.com/2218-1989/12/7/667 kostenfrei https://doaj.org/toc/2218-1989 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 7, p 667
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callnumber-first	Q - Science
author	Deepshikha Acharya
spellingShingle	Deepshikha Acharya misc QR1-502 misc cerebral metabolic rate of oxygen misc cerebral tissue oxygenation misc cerebral perfusion pressure misc cerebral autoregulation misc diffuse optics misc Microbiology Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
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topic_title	QR1-502 Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure cerebral metabolic rate of oxygen cerebral tissue oxygenation cerebral perfusion pressure cerebral autoregulation diffuse optics
topic	misc QR1-502 misc cerebral metabolic rate of oxygen misc cerebral tissue oxygenation misc cerebral perfusion pressure misc cerebral autoregulation misc diffuse optics misc Microbiology
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title	Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
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title_full	Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
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title_sort	non-invasive spectroscopy for measuring cerebral tissue oxygenation and metabolism as a function of cerebral perfusion pressure
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title_auth	Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
abstract	Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub<2</sub< estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO<sub<2</sub< estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO<sub<2</sub< and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO<sub<2</sub</blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies.
abstractGer	Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub<2</sub< estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO<sub<2</sub< estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO<sub<2</sub< and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO<sub<2</sub</blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies.
abstract_unstemmed	Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO<sub<2</sub<) and cerebral autoregulation (CA). However, current mathematical models for CMRO<sub<2</sub< estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO<sub<2</sub< estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO<sub<2</sub< and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO<sub<2</sub</blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies.
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title_short	Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
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Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure

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