Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation
Hemodynamic models provide a mathematical representation and computational framework that describe the changes in blood flow, blood volume, and oxygenation levels that occur in response to neural activity and systemic changes, while near-infrared spectroscopy (NIRS) measures deoxyhemoglobin, oxyhemo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/22/12303 |
| _version_ | 1797460356570808320 |
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| author | Nima Khalifehsoltani Olivia Rennie Rohit Mohindra Steve Lin Vladislav Toronov |
| author_facet | Nima Khalifehsoltani Olivia Rennie Rohit Mohindra Steve Lin Vladislav Toronov |
| author_sort | Nima Khalifehsoltani |
| collection | DOAJ |
| description | Hemodynamic models provide a mathematical representation and computational framework that describe the changes in blood flow, blood volume, and oxygenation levels that occur in response to neural activity and systemic changes, while near-infrared spectroscopy (NIRS) measures deoxyhemoglobin, oxyhemoglobin, and other chromophores to analyze cerebral hemodynamics and metabolism. In this study, we apply a dynamic hemometabolic model to NIRS data acquired during cardiac arrest and cardiopulmonary resuscitation (CPR) in pigs. Our goals were to test the model’s ability to accurately describe the observed phenomena, to gain an understanding of the intricate behavior of cerebral microvasculature, and to compare the obtained parameters with known values. By employing the inverse of the hemometabolic model, we measured a range of significant physiological parameters, such as the rate of oxygen diffusion from blood to tissue, the arteriole and venule volume fractions, and the Fåhraeus factor. Statistical analysis uncovered significant differences in the baseline and post-cardiac arrest values of some of the parameters. |
| first_indexed | 2024-03-09T17:03:53Z |
| format | Article |
| id | doaj.art-cce2a889b47d4033a2b48dd5e7582e0d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:03:53Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cce2a889b47d4033a2b48dd5e7582e0d2023-11-24T14:27:07ZengMDPI AGApplied Sciences2076-34172023-11-0113221230310.3390/app132212303Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary ResuscitationNima Khalifehsoltani0Olivia Rennie1Rohit Mohindra2Steve Lin3Vladislav Toronov4Department of Physics, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, CanadaTemerty Faculty of Medicine, University of Toronto, 1 King’s College Cir., Toronto, ON M5S 1A8, CanadaSchwartz Reisman Emergency Institute, Toronto, ON M5G 1X5, CanadaKeenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 30 Bond St., Toronto, ON M5B 1W8, CanadaDepartment of Physics, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, CanadaHemodynamic models provide a mathematical representation and computational framework that describe the changes in blood flow, blood volume, and oxygenation levels that occur in response to neural activity and systemic changes, while near-infrared spectroscopy (NIRS) measures deoxyhemoglobin, oxyhemoglobin, and other chromophores to analyze cerebral hemodynamics and metabolism. In this study, we apply a dynamic hemometabolic model to NIRS data acquired during cardiac arrest and cardiopulmonary resuscitation (CPR) in pigs. Our goals were to test the model’s ability to accurately describe the observed phenomena, to gain an understanding of the intricate behavior of cerebral microvasculature, and to compare the obtained parameters with known values. By employing the inverse of the hemometabolic model, we measured a range of significant physiological parameters, such as the rate of oxygen diffusion from blood to tissue, the arteriole and venule volume fractions, and the Fåhraeus factor. Statistical analysis uncovered significant differences in the baseline and post-cardiac arrest values of some of the parameters.https://www.mdpi.com/2076-3417/13/22/12303near-infrared spectroscopyNIRSbrainneuronal activitycardiac arresthemodynamic model |
| spellingShingle | Nima Khalifehsoltani Olivia Rennie Rohit Mohindra Steve Lin Vladislav Toronov Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation Applied Sciences near-infrared spectroscopy NIRS brain neuronal activity cardiac arrest hemodynamic model |
| title | Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation |
| title_full | Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation |
| title_fullStr | Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation |
| title_full_unstemmed | Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation |
| title_short | Tracking Cerebral Microvascular and Metabolic Parameters during Cardiac Arrest and Cardiopulmonary Resuscitation |
| title_sort | tracking cerebral microvascular and metabolic parameters during cardiac arrest and cardiopulmonary resuscitation |
| topic | near-infrared spectroscopy NIRS brain neuronal activity cardiac arrest hemodynamic model |
| url | https://www.mdpi.com/2076-3417/13/22/12303 |
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