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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 (2017). Iterative analysis of cerebrovascular reactivity dynamic response by temporal decomposition. Brain and Behavior:Epub ahead of print.

Abstract

Objective: To improve quantitative cerebrovascular reactivity (CVR) measurements and CO2 arrival times, we present an iterative analysis capable of decomposing different temporal components of the dynamic carbon dioxide-Blood Oxygen-Level Dependent (CO2-BOLD) relationship.
Experimental Design: Decomposition of the dynamic parameters included a redefinition of the voxel-wise CO2 arrival time, and a separation from the vascular response to a stepwise increase in CO2 (Delay to signal Plateau – DTP) and a decrease in CO2 (Delay to signal Baseline –DTB). Twenty-five (normal) datasets, obtained from BOLD MRI combined with a standardized pseudo-square wave CO2 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 CO2 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 CO2-BOLD relationship improves quantitative CVR measurements.

Abstract

Objective: To improve quantitative cerebrovascular reactivity (CVR) measurements and CO2 arrival times, we present an iterative analysis capable of decomposing different temporal components of the dynamic carbon dioxide-Blood Oxygen-Level Dependent (CO2-BOLD) relationship.
Experimental Design: Decomposition of the dynamic parameters included a redefinition of the voxel-wise CO2 arrival time, and a separation from the vascular response to a stepwise increase in CO2 (Delay to signal Plateau – DTP) and a decrease in CO2 (Delay to signal Baseline –DTB). Twenty-five (normal) datasets, obtained from BOLD MRI combined with a standardized pseudo-square wave CO2 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 CO2 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 CO2-BOLD relationship improves quantitative CVR measurements.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neurosurgery
Dewey Decimal Classification:610 Medicine & health
Uncontrolled Keywords:blood-oxygen-level-dependent, carbon dioxide, cerebrovascular reactivity, functional magnetic resonance imaging, humans
Language:English
Date:1 March 2017
Deposited On:20 Sep 2017 19:28
Last Modified:21 Sep 2017 19:15
Publisher:Wiley Open Access
ISSN:2162-3279
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/brb3.705

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