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Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

hal.structure.identifierEcole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et de Télécommunications [ENSEEIHT]
dc.contributor.authorCHAARI, Lotfi
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorBADILLO, Solveig
hal.structure.identifierModelling and Inference of Complex and Structured Stochastic Systems [MISTIS]
dc.contributor.authorVINCENT, Thomas
hal.structure.identifierModelling brain structure, function and variability based on high-field MRI data [PARIETAL]
dc.contributor.authorDEHAENE-LAMBERTZ, Ghislaine
hal.structure.identifierModelling and Inference of Complex and Structured Stochastic Systems [MISTIS]
dc.contributor.authorFORBES, Florence
hal.structure.identifierModelling brain structure, function and variability based on high-field MRI data [PARIETAL]
dc.contributor.authorCIUCIU, Philippe
dc.date.accessioned2024-04-04T03:16:59Z
dc.date.available2024-04-04T03:16:59Z
dc.date.created2015-11-12
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194266
dc.description.abstractEnIdentifying brain hemodynamics in event-related functional MRI (fMRI) data is a crucial issue to disentangle the vascular response from the neuronal activity in the BOLD signal. This question is usually addressed by estimating the so-called Hemodynamic Response Function (HRF). Voxelwise or region-/parcelwise inference schemes have been proposed to achieve this goal but so far all known contributions commit to pre-specified spatial supports for the hemodynamic territories by defining these supports either as individual voxels or a priori fixed brain parcels. In this paper, we introduce a Joint Parcellation-Detection-Estimation (JPDE) procedure that incorporates an adaptive parcel identification step based upon local hemodynamic properties. Efficient inference of both evoked activity, HRF shapes and supports is then achieved using variational approximations. Validation on synthetic and real fMRI data demonstrates the JPDE performance over standard detection estimation schemes and suggests it as a new brain exploration tool.
dc.language.isoen
dc.subject.enhemodynamic
dc.subject.enfMRI
dc.subject.enparcellation
dc.subject.enbrain
dc.subject.enPyhrf
dc.subject.enjoint detection-estimation (JDE)
dc.title.enHemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
dc.typeDocument de travail - Pré-publication
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-01228007
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01228007v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=CHAARI,%20Lotfi&BADILLO,%20Solveig&VINCENT,%20Thomas&DEHAENE-LAMBERTZ,%20Ghislaine&FORBES,%20Florence&rft.genre=preprint


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