A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping

Available online 13 August 2019.

Detalles Bibliográficos
Autores: Caballero Gaudes, César, Moia, Stefano, Panwar, Puja, Bandettini, Peter A., Gonzalez-Castillo, Javier
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/38274
Acceso en línea:http://hdl.handle.net/10810/38274
Access Level:acceso abierto
Palabra clave:BOLD fMRI
Multi-echo
Deconvolution
Single-trial
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spelling A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free MappingCaballero Gaudes, CésarMoia, StefanoPanwar, PujaBandettini, Peter A.Gonzalez-Castillo, JavierBOLD fMRIMulti-echoDeconvolutionSingle-trialAvailable online 13 August 2019.This work introduces a novel algorithm for deconvolution of the BOLD signal in multi-echo fMRI data: Multi-echo Sparse Paradigm Free Mapping (ME-SPFM). Assuming a linear dependence of the BOLD percent signal change on the echo time (TE) and using sparsity-promoting regularized least squares estimation, ME-SPFM yields voxelwise time-varying estimates of the changes in the apparent transverse relaxation (⁎) without prior knowledge of the timings of individual BOLD events. Our results in multi-echo fMRI data collected during a multi-task event-related paradigm at 3 Tesla demonstrate that the maps of ⁎ changes obtained with ME-SPFM at the times of the stimulus trials show high spatial and temporal concordance with the activation maps and BOLD signals obtained with standard model-based analysis. This method yields estimates of ⁎ having physiologically plausible values. Owing to its ability to blindly detect events, ME-SPFM also enables us to map ⁎ associated with spontaneous, transient BOLD responses occurring between trials. This framework is a step towards deciphering the dynamic nature of brain activity in naturalistic paradigms, resting-state or experimental paradigms with unknown timing of the BOLD events.We thank Prof. Penny A. Gowland for helpful discussion regarding the contents of this manuscript, as well as the anonymous reviewers for their valuable comments and feedback. This research was possible thanks to the support of the Spanish Ministry of Economy and Competitiveness through the Juan de la Cierva Fellowship (IJCI-2014-20821) and Ramon y Cajal Fellowship (RYC-2017-21845), the Spanish State Research Agency through the BCBL ”Severo Ochoa” excellence accreditation (SEV-2015-490), the Basque Government through the BERC 2018- 2021 program, the National Institute of Mental Health Intramural Research Program (NIH clinical protocol number NCT00001360, protocol ID 93-M-0170, Annual report ZIAMH002783-16), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713673, and a fellowship from La Caixa Foundation (ID 100010434) (fellowship code LCF/BQ/IN17/11620063). Portions of this study used the highperformance computational capabilities of the NIH High Performance Cluster (Biowulf) at the National Institutes Health, Bethesda, MD (http://hpc.nih.gov).NeuroImage202020202019info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/38274reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MINECO/IJCI-2014-20821/info:eu-repo/grantAgreement/MINECO/ RYC-2017-21845/info:eu-repo/grantAgreement/MINECO/SEV-2015-0490/info:eu-repo/grantAgreement/EC/H2020/MChttps://www.sciencedirect.com/journal/neuroimageinfo:eu-repo/semantics/openAccess© 2019 Elsevier Inc. All rights reserved.oai:addi.ehu.eus:10810/382742026-06-18T09:23:17Z
dc.title.none.fl_str_mv A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
title A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
spellingShingle A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
Caballero Gaudes, César
BOLD fMRI
Multi-echo
Deconvolution
Single-trial
title_short A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
title_full A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
title_fullStr A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
title_full_unstemmed A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
title_sort A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping
dc.creator.none.fl_str_mv Caballero Gaudes, César
Moia, Stefano
Panwar, Puja
Bandettini, Peter A.
Gonzalez-Castillo, Javier
author Caballero Gaudes, César
author_facet Caballero Gaudes, César
Moia, Stefano
Panwar, Puja
Bandettini, Peter A.
Gonzalez-Castillo, Javier
author_role author
author2 Moia, Stefano
Panwar, Puja
Bandettini, Peter A.
Gonzalez-Castillo, Javier
author2_role author
author
author
author
dc.subject.none.fl_str_mv BOLD fMRI
Multi-echo
Deconvolution
Single-trial
topic BOLD fMRI
Multi-echo
Deconvolution
Single-trial
description Available online 13 August 2019.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/38274
url http://hdl.handle.net/10810/38274
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO/IJCI-2014-20821/
info:eu-repo/grantAgreement/MINECO/ RYC-2017-21845/
info:eu-repo/grantAgreement/MINECO/SEV-2015-0490/
info:eu-repo/grantAgreement/EC/H2020/MC
https://www.sciencedirect.com/journal/neuroimage
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© 2019 Elsevier Inc. All rights reserved.
eu_rights_str_mv openAccess
rights_invalid_str_mv © 2019 Elsevier Inc. All rights reserved.
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv NeuroImage
publisher.none.fl_str_mv NeuroImage
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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