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Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.

Shen Y, Mayhew SD, Kourtzi Z, Tiňo P - Neuroimage (2013)

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.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, The University of Birmingham, Birmingham, UK. Electronic address: y.shen.2@cs.bham.ac.uk.

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95% confidence intervals of the estimated cross correlation coefficients between the time evolution of response magnitudes of process 1 (visual analysis and perceptual judgement) and process 2 (motor-response) from prototypes 1 and 2.
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f0040: 95% confidence intervals of the estimated cross correlation coefficients between the time evolution of response magnitudes of process 1 (visual analysis and perceptual judgement) and process 2 (motor-response) from prototypes 1 and 2.

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.


Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.

Shen Y, Mayhew SD, Kourtzi Z, Tiňo P - Neuroimage (2013)

95% confidence intervals of the estimated cross correlation coefficients between the time evolution of response magnitudes of process 1 (visual analysis and perceptual judgement) and process 2 (motor-response) from prototypes 1 and 2.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4066951&req=5

f0040: 95% confidence intervals of the estimated cross correlation coefficients between the time evolution of response magnitudes of process 1 (visual analysis and perceptual judgement) and process 2 (motor-response) from prototypes 1 and 2.
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.

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.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, The University of Birmingham, Birmingham, UK. Electronic address: y.shen.2@cs.bham.ac.uk.

Show MeSH