Brain Oximetry and the Quest for Quantified Metabolic Rate: Applications Using MRI and Near-Infrared Spectroscopy
Cerebral metabolic rate of oxygen (CMRO 2 ) is a robust marker of brain health. It represents the amount of oxygen consumed by the brain, and it has been proved to be more sensitive indicator than oxygenation level and cerebral blood flow alone. Quantitative assessment of CMRO 2 provides a useful in...
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Veröffentlicht in: | Applied magnetic resonance 2021-10, Vol.52 (10), p.1343-1377 |
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description | Cerebral metabolic rate of oxygen (CMRO
2
) is a robust marker of brain health. It represents the amount of oxygen consumed by the brain, and it has been proved to be more sensitive indicator than oxygenation level and cerebral blood flow alone. Quantitative assessment of CMRO
2
provides a useful insight into the viability of the brain tissue, the progression of a brain disease or action of a treatment. Therefore, there is a growing interest in developing methods that can quantify CMRO
2
, despite its complexity. Over the past years, many magnetic resonance imaging (MRI)-based methods and near-infrared spectroscopy (NIRS)-based methods have been developed for CMRO
2
quantification. Here, we review the available approaches based on these two techniques, their advantages, and disadvantages. Examples of application of these approaches in animal models, neonates and adults under normal and different physiological conditions are provided. Physiological correlates such as cerebral blood flow, venous oxygen saturation and oxygen extraction fraction in addition to CMRO
2
values found in the literature, are presented as well. We also show how the benefits of these two techniques can be combined to create a multimodal NIRS-MRI technique that can provide novel data, allowing better understanding of CMRO
2
and oxidative metabolism in the brain. |
doi_str_mv | 10.1007/s00723-021-01345-y |
format | Article |
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2
) is a robust marker of brain health. It represents the amount of oxygen consumed by the brain, and it has been proved to be more sensitive indicator than oxygenation level and cerebral blood flow alone. Quantitative assessment of CMRO
2
provides a useful insight into the viability of the brain tissue, the progression of a brain disease or action of a treatment. Therefore, there is a growing interest in developing methods that can quantify CMRO
2
, despite its complexity. Over the past years, many magnetic resonance imaging (MRI)-based methods and near-infrared spectroscopy (NIRS)-based methods have been developed for CMRO
2
quantification. Here, we review the available approaches based on these two techniques, their advantages, and disadvantages. Examples of application of these approaches in animal models, neonates and adults under normal and different physiological conditions are provided. Physiological correlates such as cerebral blood flow, venous oxygen saturation and oxygen extraction fraction in addition to CMRO
2
values found in the literature, are presented as well. We also show how the benefits of these two techniques can be combined to create a multimodal NIRS-MRI technique that can provide novel data, allowing better understanding of CMRO
2
and oxidative metabolism in the brain.</description><identifier>ISSN: 0937-9347</identifier><identifier>EISSN: 1613-7507</identifier><identifier>DOI: 10.1007/s00723-021-01345-y</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Atoms and Molecules in Strong Fields ; Blood ; Blood flow ; Brain ; Calibration ; Harold M. Swartz: On the Occasion of His 85th Birthday ; Hyperoxia ; Infrared spectra ; Infrared spectroscopy ; Laser Matter Interaction ; Magnetic resonance imaging ; Metabolism ; Near infrared radiation ; Organic Chemistry ; Oximetry ; Oxygen ; Oxygen content ; Oxygenation ; Physical Chemistry ; Physics ; Physics and Astronomy ; Physiology ; Review ; Solid State Physics ; Spectroscopy/Spectrometry ; Spectrum analysis ; Veins & arteries</subject><ispartof>Applied magnetic resonance, 2021-10, Vol.52 (10), p.1343-1377</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-6b90f494c23580e67d3faff4fadee0ec777fbc6636737a06cc26dc76fb94a3673</citedby><cites>FETCH-LOGICAL-c319t-6b90f494c23580e67d3faff4fadee0ec777fbc6636737a06cc26dc76fb94a3673</cites><orcidid>0000-0001-9728-2654</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00723-021-01345-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2917947820?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Hashem, Mada</creatorcontrib><creatorcontrib>Dunn, Jeff F.</creatorcontrib><title>Brain Oximetry and the Quest for Quantified Metabolic Rate: Applications Using MRI and Near-Infrared Spectroscopy</title><title>Applied magnetic resonance</title><addtitle>Appl Magn Reson</addtitle><description>Cerebral metabolic rate of oxygen (CMRO
2
) is a robust marker of brain health. It represents the amount of oxygen consumed by the brain, and it has been proved to be more sensitive indicator than oxygenation level and cerebral blood flow alone. Quantitative assessment of CMRO
2
provides a useful insight into the viability of the brain tissue, the progression of a brain disease or action of a treatment. Therefore, there is a growing interest in developing methods that can quantify CMRO
2
, despite its complexity. Over the past years, many magnetic resonance imaging (MRI)-based methods and near-infrared spectroscopy (NIRS)-based methods have been developed for CMRO
2
quantification. Here, we review the available approaches based on these two techniques, their advantages, and disadvantages. Examples of application of these approaches in animal models, neonates and adults under normal and different physiological conditions are provided. Physiological correlates such as cerebral blood flow, venous oxygen saturation and oxygen extraction fraction in addition to CMRO
2
values found in the literature, are presented as well. We also show how the benefits of these two techniques can be combined to create a multimodal NIRS-MRI technique that can provide novel data, allowing better understanding of CMRO
2
and oxidative metabolism in the brain.</description><subject>Atoms and Molecules in Strong Fields</subject><subject>Blood</subject><subject>Blood flow</subject><subject>Brain</subject><subject>Calibration</subject><subject>Harold M. Swartz: On the Occasion of His 85th Birthday</subject><subject>Hyperoxia</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>Laser Matter Interaction</subject><subject>Magnetic resonance imaging</subject><subject>Metabolism</subject><subject>Near infrared radiation</subject><subject>Organic Chemistry</subject><subject>Oximetry</subject><subject>Oxygen</subject><subject>Oxygen content</subject><subject>Oxygenation</subject><subject>Physical Chemistry</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Physiology</subject><subject>Review</subject><subject>Solid State Physics</subject><subject>Spectroscopy/Spectrometry</subject><subject>Spectrum analysis</subject><subject>Veins & arteries</subject><issn>0937-9347</issn><issn>1613-7507</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UMtOAyEUJUYTa_UHXJG4RmGYgeKuNj6aVBurXROGgUrTzkyBJs7fSzsm7tzcV845994DwDXBtwRjfhdSyCjCGUGY0LxA3QkYEEYo4gXmp2CABeVI0Jyfg4sQ1hiTYkT4AOwevHI1nH-7rYm-g6quYPwy8H1vQoS28alSdXTWmQq-mqjKZuM0XKho7uG4bVOjomvqAJfB1Sv4upgeNd6M8mhaW698In60RkffBN203SU4s2oTzNVvHoLl0-Pn5AXN5s_TyXiGNCUiIlYKbHOR64wWI2wYr6hV1uZWVcZgoznnttSMUcYpV5hpnbFKc2ZLkavDcAhuet3WN7vDN3Ld7H2dVspMEC5yPspwQmU9SqfzgjdWtt5tle8kwfJgreytlclaebRWdolEe1JI4Hpl_J_0P6wfBcN9ow</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Hashem, Mada</creator><creator>Dunn, Jeff F.</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-9728-2654</orcidid></search><sort><creationdate>20211001</creationdate><title>Brain Oximetry and the Quest for Quantified Metabolic Rate: Applications Using MRI and Near-Infrared Spectroscopy</title><author>Hashem, Mada ; Dunn, Jeff F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-6b90f494c23580e67d3faff4fadee0ec777fbc6636737a06cc26dc76fb94a3673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Atoms and Molecules in Strong Fields</topic><topic>Blood</topic><topic>Blood flow</topic><topic>Brain</topic><topic>Calibration</topic><topic>Harold M. Swartz: On the Occasion of His 85th Birthday</topic><topic>Hyperoxia</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>Laser Matter Interaction</topic><topic>Magnetic resonance imaging</topic><topic>Metabolism</topic><topic>Near infrared radiation</topic><topic>Organic Chemistry</topic><topic>Oximetry</topic><topic>Oxygen</topic><topic>Oxygen content</topic><topic>Oxygenation</topic><topic>Physical Chemistry</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Physiology</topic><topic>Review</topic><topic>Solid State Physics</topic><topic>Spectroscopy/Spectrometry</topic><topic>Spectrum analysis</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashem, Mada</creatorcontrib><creatorcontrib>Dunn, Jeff F.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Applied magnetic resonance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashem, Mada</au><au>Dunn, Jeff F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Oximetry and the Quest for Quantified Metabolic Rate: Applications Using MRI and Near-Infrared Spectroscopy</atitle><jtitle>Applied magnetic resonance</jtitle><stitle>Appl Magn Reson</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>52</volume><issue>10</issue><spage>1343</spage><epage>1377</epage><pages>1343-1377</pages><issn>0937-9347</issn><eissn>1613-7507</eissn><abstract>Cerebral metabolic rate of oxygen (CMRO
2
) is a robust marker of brain health. It represents the amount of oxygen consumed by the brain, and it has been proved to be more sensitive indicator than oxygenation level and cerebral blood flow alone. Quantitative assessment of CMRO
2
provides a useful insight into the viability of the brain tissue, the progression of a brain disease or action of a treatment. Therefore, there is a growing interest in developing methods that can quantify CMRO
2
, despite its complexity. Over the past years, many magnetic resonance imaging (MRI)-based methods and near-infrared spectroscopy (NIRS)-based methods have been developed for CMRO
2
quantification. Here, we review the available approaches based on these two techniques, their advantages, and disadvantages. Examples of application of these approaches in animal models, neonates and adults under normal and different physiological conditions are provided. Physiological correlates such as cerebral blood flow, venous oxygen saturation and oxygen extraction fraction in addition to CMRO
2
values found in the literature, are presented as well. We also show how the benefits of these two techniques can be combined to create a multimodal NIRS-MRI technique that can provide novel data, allowing better understanding of CMRO
2
and oxidative metabolism in the brain.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00723-021-01345-y</doi><tpages>35</tpages><orcidid>https://orcid.org/0000-0001-9728-2654</orcidid></addata></record> |
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subjects | Atoms and Molecules in Strong Fields Blood Blood flow Brain Calibration Harold M. Swartz: On the Occasion of His 85th Birthday Hyperoxia Infrared spectra Infrared spectroscopy Laser Matter Interaction Magnetic resonance imaging Metabolism Near infrared radiation Organic Chemistry Oximetry Oxygen Oxygen content Oxygenation Physical Chemistry Physics Physics and Astronomy Physiology Review Solid State Physics Spectroscopy/Spectrometry Spectrum analysis Veins & arteries |
title | Brain Oximetry and the Quest for Quantified Metabolic Rate: Applications Using MRI and Near-Infrared Spectroscopy |
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