dc.contributor.author | Zvolanek, Kristina M. | |
dc.contributor.author | Moia, Stefano | |
dc.contributor.author | Dean, Joshua N. | |
dc.contributor.author | Stickland, Rachael C. | |
dc.contributor.author | Caballero-Gaudes, César | |
dc.contributor.author | Bright, Molly G. | |
dc.date.accessioned | 2023-04-21T10:05:52Z | |
dc.date.available | 2023-04-21T10:05:52Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Kristina M. Zvolanek, Stefano Moia, Joshua N. Dean, Rachael C. Stickland, César Caballero-Gaudes, Molly G. Bright, Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI, NeuroImage, Volume 272, 2023, 120038, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2023.120038 | es_ES |
dc.identifier.citation | NeuroImage | |
dc.identifier.issn | 1053-8119 | |
dc.identifier.uri | http://hdl.handle.net/10810/60823 | |
dc.description | Available online 22 March 2023 | es_ES |
dc.description.abstract | Cerebrovascular reactivity (CVR), defined as the cerebral blood flow response to a vasoactive stimulus, is an imag- ing biomarker with demonstrated utility in a range of diseases and in typical development and aging processes. A robust and widely implemented method to map CVR involves using a breath-hold task during a BOLD fMRI scan. Recording end-tidal CO 2 (P ET CO 2 ) changes during the breath-hold task is recommended to be used as a refer- ence signal for modeling CVR amplitude in standard units (%BOLD/mmHg) and CVR delay in seconds. However, obtaining reliable P ET CO 2 recordings requires equipment and task compliance that may not be achievable in all settings. To address this challenge, we investigated two alternative reference signals to map CVR amplitude and delay in a lagged general linear model (lagged-GLM) framework: respiration volume per time (RVT) and average gray matter BOLD response (GM-BOLD). In 8 healthy adults with multiple scan sessions, we compare spatial agreement of CVR maps from RVT and GM-BOLD to those generated with P ET CO 2 . We define a threshold to determine whether a P ET CO 2 recording has “sufficient ”quality for CVR mapping and perform these comparisons in 16 datasets with sufficient P ET CO 2 and 6 datasets with insufficient P ET CO 2 . When P ET CO 2 quality is sufficient, both RVT and GM-BOLD produce CVR amplitude maps that are nearly identical to those from P ET CO 2 (after accounting for differences in scale), with the caveat they are not in standard units to facilitate between-group comparisons. CVR delays are comparable to P ET CO 2 with an RVT regressor but may be underestimated with the average GM-BOLD regressor. Importantly, when P ET CO 2 quality is insufficient, RVT and GM-BOLD CVR recover reasonable CVR amplitude and delay maps, provided the participant attempted the breath-hold task. Therefore, our framework offers a solution for achieving high quality CVR maps in both retrospective and prospective stud- ies where sufficient P ET CO 2 recordings are not available and especially in populations where obtaining reliable measurements is a known challenge (e.g., children). Our results have the potential to improve the accessibility of CVR mapping and to increase the prevalence of this promising metric of vascular health. | es_ES |
dc.description.sponsorship | This research was supported by the European Union’s Horizon 2020 research and innovation program (Marie Sk ł odowska-Curie grant agreement No. 713673 ), a fellowship from La Caixa Foundation (ID 100010434 , fellowship code LCF/BQ/IN17/11620063 ), the Spanish Ministry of Economy and Competitiveness (Ramon y Cajal Fellowship, RYC-2017–21845 ), the Spanish State Research Agency (BCBL “Severo Ochoa ”excellence accreditation, SEV-2015–490 ), the Basque Govern- ment ( BERC 2018–2021 and PIBA_2019_104 ), the Spanish Ministry of Science, Innovation and Universities (MICINN; PID2019–105520GB- 100 and FJCI-2017–31814 ). K.M.Z. was supported by the National In- stitutes of Health under a training program ( T32EB025766 ) and by the National Heart, Lung, And Blood Institute under Award Number F31HL166079 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National In- stitutes of Health. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | ELSEVIER | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020- MSCA-IF-713673 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/RYC-2017–21845 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2015-0490 | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/BERC2018-2021 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PID2019–105520GB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/FJCI-2017-31814 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Cerebrovascular reactivity | es_ES |
dc.subject | Breath-hold | es_ES |
dc.subject | BOLD fMRI | es_ES |
dc.subject | Respiration volume per time | es_ES |
dc.title | Comparing end-tidal CO 2 , respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ) | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/neuroimage | es_ES |
dc.identifier.doi | 10.1016/j.neuroimage.2023.120038 | |