Estimation of fMRI responses related to epileptic discharges using Bayesian hierarchical modeling.
BOLD percentage change
Bayesian workflow
EEG-fMRI
IEDs
epilepsy
hierarchical model
presurgical evaluation
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 12 2023
01 12 2023
Historique:
revised:
16
08
2023
received:
11
04
2023
accepted:
07
09
2023
medline:
2
11
2023
pubmed:
26
9
2023
entrez:
26
9
2023
Statut:
ppublish
Résumé
Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a unique and noninvasive method for epilepsy presurgical evaluation. When selecting voxels by null-hypothesis tests, the conventional analysis may overestimate fMRI response amplitudes related to interictal epileptic discharges (IEDs), especially when IEDs are rare. We aimed to estimate fMRI response amplitudes represented by blood oxygen level dependent (BOLD) percentage changes related to IEDs using a hierarchical model. It involves the local and distributed hemodynamic response homogeneity to regularize estimations. Bayesian inference was applied to fit the model. Eighty-two epilepsy patients who underwent EEG-fMRI and subsequent surgery were included in this study. A conventional voxel-wise general linear model was compared to the hierarchical model on estimated fMRI response amplitudes and on the concordance between the highest response cluster and the surgical cavity. The voxel-wise model overestimated fMRI responses compared to the hierarchical model, evidenced by a practically and statistically significant difference between the estimated BOLD percentage changes. Only the hierarchical model differentiated brief and long-lasting IEDs with significantly different BOLD percentage changes. Overall, the hierarchical model outperformed the voxel-wise model on presurgical evaluation, measured by higher prediction performance. When compared with a previous study, the hierarchical model showed higher performance metric values, but the same or lower sensitivity. Our results demonstrated the capability of the hierarchical model of providing more physiologically reasonable and more accurate estimations of fMRI response amplitudes induced by IEDs. To enhance the sensitivity of EEG-fMRI for presurgical evaluation, it may be necessary to incorporate more appropriate spatial priors and bespoke decision strategies.
Identifiants
pubmed: 37750611
doi: 10.1002/hbm.26490
pmc: PMC10619415
doi:
Substances chimiques
Oxygen
S88TT14065
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
5982-6000Subventions
Organisme : CIHR
ID : FDN 143208
Pays : Canada
Informations de copyright
© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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