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Using ECG-derived respiration for explaining BOLD-fMRI fluctuations during rest and respiratory modulations

2025-11-11Artigo científico Acesso aberto
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorEsteves, Inês
dc.contributor.authorRodrigues Fouto, Ana Lúcia
dc.contributor.authorRuiz-Tagle, Amparo
dc.contributor.authorCaetano, Gina
dc.contributor.authorFigueiredo, Patrícia
dc.date.accessioned2026-03-09T11:11:29Z
dc.date.available2026-03-09T11:11:29Z
dc.date.issued2025-11-11
dc.description.abstractRecording physiological signals during fMRI is valuable for multiple purposes but often requires additional setup, increasing complexity and participant discomfort. This is particularly challenging in simultaneous EEG-fMRI studies, which typically already include electrocardiogram (ECG) recordings. Here, we aim to leverage the known modulation of ECG by respiration to obtain an ECG-derived respiration (EDR) signal without extra equipment. We acquired EEG-fMRI data from 15 healthy subjects during resting state and two respiratory challenges (slow-paced breathing and breath-holding), with simultaneous ECG and respiratory recordings. Multiple methods were used to extract EDR signals, and the results were evaluated by comparing them with recorded respiration and assessing the quality of physiological regressors for denoising and cerebrovascular reactivity estimation. Amplitude-based EDR methods showed lower correlations with respiration, likely due to ECG distortion in the MRI. Nevertheless, coherence analysis showed that EDR preserved the relevant spectral content. EDR-based regressors were similar to those obtained from measured respiration. Notably, a method based on heart rate variability performed best overall, yielding physiological noise correction and reactivity estimates comparable to those using recorded respiration. Our results demonstrate that meaningful respiratory information can be extracted from ECG within the MRI environment, benefiting EEG-fMRI studies when respiration cannot be reliably recorded.eng
dc.description.sponsorshipUIDP/50009/2020
dc.identifier.doi10.1038/s41598-025-23131-7
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.1/28380
dc.language.isoeng
dc.peerreviewedyes
dc.publisherNature Research
dc.relationCentre for Marine and Environmental Research
dc.relationLaboratory of Robotics and Engineering Systems
dc.relation.ispartofScientific Reports
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectFunctional magnetic resonance imaging (fMRI)
dc.subjectRespiration
dc.subjectElectrocardiogram (ECG)
dc.subjectECGderived respiration (EDR)
dc.subjectResting state
dc.subjectRespiratory fluctuation
dc.titleUsing ECG-derived respiration for explaining BOLD-fMRI fluctuations during rest and respiratory modulationseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberLA/P/0101/2020
oaire.awardNumberUIDB/50009/2020
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.citation.issue1
oaire.citation.startPage39420
oaire.citation.titleScientific Reports
oaire.citation.volume15
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRodrigues Fouto
person.givenNameAna Lúcia
person.identifier.orcid0000-0002-0362-9571
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication4b276c27-7999-4838-b5dc-7953c09c2633
relation.isAuthorOfPublication.latestForDiscovery4b276c27-7999-4838-b5dc-7953c09c2633
relation.isProjectOfPublication794d4c77-c731-471e-bc96-5a41dcd3d872
relation.isProjectOfPublication63f1f0ee-a2d4-4055-8a65-111048e05495
relation.isProjectOfPublication.latestForDiscovery794d4c77-c731-471e-bc96-5a41dcd3d872

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