Tools
Tools
Gitelman, Darren R, Penny, William D 
ORCID: https://orcid.org/0000-0001-9064-1191, Ashburner, John and Friston, Karl J
(2003)
Modeling regional and psychophysiologic interactions in fMRI: The importance of hemodynamic deconvolution.
NeuroImage, 19 (1).
pp. 200-207.
ISSN 1053-8119
Abstract
The analysis of functional magnetic resonance imaging (fMRI) time-series data can provide information not only about task-related activity, but also about the connectivity (functional or effective) among regions and the influences of behavioral or physiologic states on that connectivity. Similar analyses have been performed in other imaging modalities, such as positron emission tomography. However, fMRI is unique because the information about the underlying neuronal activity is filtered or convolved with a hemodynamic response function. Previous studies of regional connectivity in fMRI have overlooked this convolution and have assumed that the observed hemodynamic response approximates the neuronal response. In this article, this assumption is revisited using estimates of underlying neuronal activity. These estimates use a parametric empirical Bayes formulation for hemodynamic deconvolution.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | bayes theorem,brain mapping,hemodynamics,humans,magnetic resonance imaging,neurological models,neurons,psychophysiology |
| Faculty \ School: | Faculty of Social Sciences > School of Psychology |
| UEA Research Groups: | Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences |
| Depositing User: | Pure Connector |
| Date Deposited: | 23 Aug 2017 05:04 |
| Last Modified: | 19 Apr 2023 22:33 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/64635 |
| DOI: | 10.1016/S1053-8119(03)00058-2 |
Actions (login required)
 |
View Item |