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Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition
OBJECTIVE: To improve quantitative cerebrovascular reactivity (CVR) measurements and CO (2) arrival times, we present an iterative analysis capable of decomposing different temporal components of the dynamic carbon dioxide‐ Blood Oxygen‐Level Dependent (CO (2)‐BOLD) relationship. EXPERIMENTAL DESIGN...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607533/ https://www.ncbi.nlm.nih.gov/pubmed/28948064 http://dx.doi.org/10.1002/brb3.705 |
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author | van Niftrik, Christiaan Hendrik Bas Piccirelli, Marco Bozinov, Oliver Pangalu, Athina Fisher, Joseph A. Valavanis, Antonios Luft, Andreas R. Weller, Michael Regli, Luca Fierstra, Jorn |
author_facet | van Niftrik, Christiaan Hendrik Bas Piccirelli, Marco Bozinov, Oliver Pangalu, Athina Fisher, Joseph A. Valavanis, Antonios Luft, Andreas R. Weller, Michael Regli, Luca Fierstra, Jorn |
author_sort | van Niftrik, Christiaan Hendrik Bas |
collection | PubMed |
description | OBJECTIVE: To improve quantitative cerebrovascular reactivity (CVR) measurements and CO (2) arrival times, we present an iterative analysis capable of decomposing different temporal components of the dynamic carbon dioxide‐ Blood Oxygen‐Level Dependent (CO (2)‐BOLD) relationship. EXPERIMENTAL DESIGN: Decomposition of the dynamic parameters included a redefinition of the voxel‐wise CO (2) arrival time, and a separation from the vascular response to a stepwise increase in CO (2) (Delay to signal Plateau – DTP) and a decrease in CO (2) (Delay to signal Baseline –DTB). Twenty‐five (normal) datasets, obtained from BOLD MRI combined with a standardized pseudo‐square wave CO (2) change, were co‐registered to generate reference atlases for the aforementioned dynamic processes to score the voxel‐by‐voxel deviation probability from normal range. This analysis is further illustrated in two subjects with unilateral carotid artery occlusion using these reference atlases. PRINCIPAL OBSERVATIONS: We have found that our redefined CO (2) arrival time resulted in the best data fit. Additionally, excluding both dynamic BOLD phases (DTP and DTB) resulted in a static CVR, that is maximal response, defined as CVR calculated only over a normocapnic and hypercapnic calibrated plateau. CONCLUSION: Decomposition and novel iterative modeling of different temporal components of the dynamic CO (2)‐BOLD relationship improves quantitative CVR measurements. |
format | Online Article Text |
id | pubmed-5607533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56075332017-09-25 Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition van Niftrik, Christiaan Hendrik Bas Piccirelli, Marco Bozinov, Oliver Pangalu, Athina Fisher, Joseph A. Valavanis, Antonios Luft, Andreas R. Weller, Michael Regli, Luca Fierstra, Jorn Brain Behav Original Research OBJECTIVE: To improve quantitative cerebrovascular reactivity (CVR) measurements and CO (2) arrival times, we present an iterative analysis capable of decomposing different temporal components of the dynamic carbon dioxide‐ Blood Oxygen‐Level Dependent (CO (2)‐BOLD) relationship. EXPERIMENTAL DESIGN: Decomposition of the dynamic parameters included a redefinition of the voxel‐wise CO (2) arrival time, and a separation from the vascular response to a stepwise increase in CO (2) (Delay to signal Plateau – DTP) and a decrease in CO (2) (Delay to signal Baseline –DTB). Twenty‐five (normal) datasets, obtained from BOLD MRI combined with a standardized pseudo‐square wave CO (2) change, were co‐registered to generate reference atlases for the aforementioned dynamic processes to score the voxel‐by‐voxel deviation probability from normal range. This analysis is further illustrated in two subjects with unilateral carotid artery occlusion using these reference atlases. PRINCIPAL OBSERVATIONS: We have found that our redefined CO (2) arrival time resulted in the best data fit. Additionally, excluding both dynamic BOLD phases (DTP and DTB) resulted in a static CVR, that is maximal response, defined as CVR calculated only over a normocapnic and hypercapnic calibrated plateau. CONCLUSION: Decomposition and novel iterative modeling of different temporal components of the dynamic CO (2)‐BOLD relationship improves quantitative CVR measurements. John Wiley and Sons Inc. 2017-07-26 /pmc/articles/PMC5607533/ /pubmed/28948064 http://dx.doi.org/10.1002/brb3.705 Text en © 2017 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research van Niftrik, Christiaan Hendrik Bas Piccirelli, Marco Bozinov, Oliver Pangalu, Athina Fisher, Joseph A. Valavanis, Antonios Luft, Andreas R. Weller, Michael Regli, Luca Fierstra, Jorn Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title | Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title_full | Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title_fullStr | Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title_full_unstemmed | Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title_short | Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
title_sort | iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607533/ https://www.ncbi.nlm.nih.gov/pubmed/28948064 http://dx.doi.org/10.1002/brb3.705 |
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