Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64375
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWilliams, Rebecca Jen
dc.contributor.authorSpecht, Jacinta Len
dc.contributor.authorMazerolle, Erin Len
dc.contributor.authorLebel, R Marcen
dc.contributor.authorMacDonald, M Ethanen
dc.contributor.authorPike, G Bruceen
dc.date.accessioned2025-01-07T23:46:58Z-
dc.date.available2025-01-07T23:46:58Z-
dc.date.issued2023-05-09-
dc.identifier.citationFrontiers in Physiology, v.14, p. 1-18en
dc.identifier.issn1664-042Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/64375-
dc.description.abstract<p>BOLD sensitivity to baseline perfusion and blood volume is a well-acknowledged fMRI confound. Vascular correction techniques based on cerebrovascular reactivity (CVR) might reduce variance due to baseline cerebral blood volume, however this is predicated on an invariant linear relationship between CVR and BOLD signal magnitude. Cognitive paradigms have relatively low signal, high variance and involve spatially heterogenous cortical regions; it is therefore unclear whether the BOLD response magnitude to complex paradigms can be predicted by CVR. The feasibility of predicting BOLD signal magnitude from CVR was explored in the present work across two experiments using different CVR approaches. The first utilized a large database containing breath-hold BOLD responses and 3 different cognitive tasks. The second experiment, in an independent sample, calculated CVR using the delivery of a fixed concentration of carbon dioxide and a different cognitive task. An atlas-based regression approach was implemented for both experiments to evaluate the shared variance between task-invoked BOLD responses and CVR across the cerebral cortex. Both experiments found significant relationships between CVR and task-based BOLD magnitude, with activation in the right cuneus (<i>R<sup>2</sup></i> = 0.64) and paracentral gyrus (<i>R<sup>2</sup></i> = 0.71), and the left pars opercularis (<i>R<sup>2</sup></i> = 0.67), superior frontal gyrus (<i>R<sup>2</sup></i> = 0.62) and inferior parietal cortex (<i>R<sup>2</sup></i> = 0.63) strongly predicted by CVR. The parietal regions bilaterally were highly consistent, with linear regressions significant in these regions for all four tasks. Group analyses showed that CVR correction increased BOLD sensitivity. Overall, this work suggests that BOLD signal response magnitudes to cognitive tasks are predicted by CVR across different regions of the cerebral cortex, providing support for the use of correction based on baseline vascular physiology.</p>en
dc.languageenen
dc.publisherFrontiers Research Foundationen
dc.relation.ispartofFrontiers in Physiologyen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleCorrespondence between BOLD fMRI task response and cerebrovascular reactivity across the cerebral cortexen
dc.typeJournal Articleen
dc.identifier.doi10.3389/fphys.2023.1167148en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameRebecca Jen
local.contributor.firstnameJacinta Len
local.contributor.firstnameErin Len
local.contributor.firstnameR Marcen
local.contributor.firstnameM Ethanen
local.contributor.firstnameG Bruceen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailrwilli90@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber1167148en
local.format.startpage1en
local.format.endpage18en
local.peerreviewedYesen
local.identifier.volume14en
local.access.fulltextYesen
local.contributor.lastnameWilliamsen
local.contributor.lastnameSpechten
local.contributor.lastnameMazerolleen
local.contributor.lastnameLebelen
local.contributor.lastnameMacDonalden
local.contributor.lastnamePikeen
dc.identifier.staffune-id:rwilli90en
local.profile.orcid0000-0002-8949-1197en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/64375en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleCorrespondence between BOLD fMRI task response and cerebrovascular reactivity across the cerebral cortexen
local.relation.fundingsourcenoteEM is funded by the Natural Science and Engineering Research Council (NSERC) and the StFX University Council for Research. MM holds an NSERC Discovery Grant (RGPIN-2022-03552). GP would like to acknowledge financial support from the Canadian Institutes for Health Research (CIHR FDN-143290), the Natural Science and Engineering Research Council (NSERC RGPIN-2017- 03880), and the Campus Alberta Innovation Program (CAIP).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorWilliams, Rebecca Jen
local.search.authorSpecht, Jacinta Len
local.search.authorMazerolle, Erin Len
local.search.authorLebel, R Marcen
local.search.authorMacDonald, M Ethanen
local.search.authorPike, G Bruceen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/d04d9393-ac2e-4db1-a30f-007c102f2080en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/d04d9393-ac2e-4db1-a30f-007c102f2080en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/d04d9393-ac2e-4db1-a30f-007c102f2080en
local.subject.for20203209 Neurosciencesen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2025-01-08en
Appears in Collections:Journal Article
School of Science and Technology
Files in This Item:
2 files
File Description SizeFormat 
openpublished/CorrespondenceWilliams2023JournalArticle.pdfPublished Version3.74 MBAdobe PDF
Download Adobe
View/Open
Show simple item record
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons