Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.
Bottom Line: Thus, the total number of parameters in the model does not depend on the number of voxels.The results strongly suggest that, compared with occipitotemporal regions, the frontal ones are less homogeneous, requiring two HPM prototypes per region.Spatio-temporal heterogeneity in the frontal regions seems to be associated with diverse dynamic localizations of the two hidden processes in different subregions of frontal ROIs.
Affiliation: School of Computer Science, The University of Birmingham, Birmingham, UK. Electronic address: email@example.com.Show MeSH
Mentions: to which degree the temporal evolution of response magnitudes of the prototypes in the model is cross-correlated for a particular process, i.e. visual–perceptual process (referred as process 1) and decision-motor response process (referred as process 2). The computed correlation coefficients are displayed in Fig. 8 in terms of the mean and double standard deviation across runs and subjects.
Affiliation: School of Computer Science, The University of Birmingham, Birmingham, UK. Electronic address: firstname.lastname@example.org.