Using voxel-specific hemodynamic response function in EEG-fMRI data analysis

Most existing analytical techniques for EEG-fMRI data need specific assumptions about the hemodynamic response function (HRF). These assumptions may not be appropriate when the HRF varies from subject to subject or from region to region. In this article, we introduce a deconvolution method for EEG-f...

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 32; no. 1; pp. 238 - 247
Main Authors Lu, Yingli, Bagshaw, Andrew P., Grova, Christophe, Kobayashi, Eliane, Dubeau, François, Gotman, Jean
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.08.2006
Elsevier Limited
Subjects
Brain - anatomy & histology
Brain - pathology
Brain - physiology
Brain Mapping
Brain research
Cerebrovascular Circulation - physiology
Confidence intervals
Deconvolution
Electroencephalography
Epilepsies, Partial - pathology
Epilepsies, Partial - physiopathology
Epilepsy
Epilepsy - classification
Epilepsy - pathology
Epilepsy - physiopathology
fMRI
Gamma
Glover
Hemodynamic response function
Hemodynamics - physiology
Humans
Magnetic Resonance Imaging
Methods
NMR
Nuclear magnetic resonance
Reference Values
Software
SPM
Studies
fMRI
Gamma
SPM
Deconvolution
Hemodynamic response function
Glover
Online AccessGet full text
ISSN1053-8119
1095-9572
DOI10.1016/j.neuroimage.2005.11.040

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Summary:Most existing analytical techniques for EEG-fMRI data need specific assumptions about the hemodynamic response function (HRF). These assumptions may not be appropriate when the HRF varies from subject to subject or from region to region. In this article, we introduce a deconvolution method for EEG-fMRI activation detection, which can be implemented with voxel-specific HRFs. A comparison of performance is made between three fixed HRFs and the deconvolution method under the framework of the general linear model. The main results are as follows: (1) the volume of detected regions from the deconvolved HRFs is larger. (2) In some subjects, the deconvolution technique can find areas of activation that have not been detected with the three fixed HRFs at our threshold of significance. (3) Deconvolution obtained higher adjusted coefficients of multiple determination compared to those obtained with the three fixed HRFs. The results suggest that the fixed HRF methods may not be the most appropriate for the analysis of epileptic activity with EEG-fMRI, and the deconvolution method may be a better choice.
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ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2005.11.040