Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses

Handle URI:
http://hdl.handle.net/10754/624150
Title:
Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses
Authors:
Djellouli, Rabia; Zambri, Brian; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 ) ; Admin, Wiley
Abstract:
We propose a computational strategy that falls into the category of prediction/correction iterative-type approaches, for calibrating the hemodynamic model introduced by Friston et al. (2000). The proposed method is employed to estimate consecutively the values of the biophysiological system parameters and the external stimulus characteristics of the model. Numerical results corresponding to both synthetic and real functional Magnetic Resonance Imaging (fMRI) measurements for a single stimulus as well as for multiple stimuli are reported to highlight the capability of this computational methodology to fully calibrate the considered hemodynamic model.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Djellouli, R., Zambri, B., Meriem Taous Laleg-Kirati, & Admin, W. (2017). Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. Figshare. https://doi.org/10.6084/m9.figshare.c.3734509
Publisher:
Figshare
Issue Date:
2017
DOI:
10.6084/m9.figshare.c.3734509
Type:
Dataset
Is Supplement To:
Zambri B, Djellouli R, Laleg-Kirati M (2017) An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. International Journal for Numerical Methods in Biomedical Engineering. Available: http://dx.doi.org/10.1002/cnm.2875.; DOI:10.1002/cnm.2875; HANDLE:http://hdl.handle.net/10754/622936
Appears in Collections:
Datasets; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDjellouli, Rabiaen
dc.contributor.authorZambri, Brianen
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.contributor.authorAdmin, Wileyen
dc.date.accessioned2017-06-06T07:44:34Z-
dc.date.available2017-06-06T07:44:34Z-
dc.date.created2017-04-05en
dc.date.issued2017en
dc.identifier.citationDjellouli, R., Zambri, B., Meriem Taous Laleg-Kirati, & Admin, W. (2017). Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. Figshare. https://doi.org/10.6084/m9.figshare.c.3734509en
dc.identifier.doi10.6084/m9.figshare.c.3734509en
dc.identifier.urihttp://hdl.handle.net/10754/624150-
dc.description.abstractWe propose a computational strategy that falls into the category of prediction/correction iterative-type approaches, for calibrating the hemodynamic model introduced by Friston et al. (2000). The proposed method is employed to estimate consecutively the values of the biophysiological system parameters and the external stimulus characteristics of the model. Numerical results corresponding to both synthetic and real functional Magnetic Resonance Imaging (fMRI) measurements for a single stimulus as well as for multiple stimuli are reported to highlight the capability of this computational methodology to fully calibrate the considered hemodynamic model.en
dc.publisherFigshareen
dc.rightsCC BYen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectBiological Engineeringen
dc.subjectNumerical Analysisen
dc.titleDataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responsesen
dc.typeDataseten
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
kaust.authorLaleg-Kirati, Taous-Meriemen
dc.type.resourceCollectionen
dc.relation.isSupplementToZambri B, Djellouli R, Laleg-Kirati M (2017) An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses. International Journal for Numerical Methods in Biomedical Engineering. Available: http://dx.doi.org/10.1002/cnm.2875.en
dc.relation.isSupplementToDOI:10.1002/cnm.2875en
dc.relation.isSupplementToHANDLE:http://hdl.handle.net/10754/622936en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.