Paper Info
Title
Spatio-temporal models of mental processes from fMRI.
Abstract
Understanding the highly complex, spatially distributed and temporally organized phenomena entailed by mental processes using functional MRI is an important research problem in cognitive and clinical neuroscience. Conventional analysis methods focus on the spatial dimension of the data discarding the information about brain function contained in the temporal dimension. This paper presents a fully spatio-temporal multivariate analysis method using a state-space model (SSM) for brain function that yields not only spatial maps of activity but also its temporal structure along with spatially varying estimates of the hemodynamic response. Efficient algorithms for estimating the parameters along with quantitative validations are given. A novel low-dimensional feature-space for representing the data, based on a formal definition of functional similarity, is derived. Quantitative validation of the model and the estimation algorithms is provided with a simulation study. Using a real fMRI study for mental arithmetic, the ability of this neurophysiologically inspired model to represent the spatio-temporal information corresponding to mental processes is demonstrated. Moreover, by comparing the models across multiple subjects, natural patterns in mental processes organized according to different mental abilities are revealed.
Year
DOI
Venue
2011
10.1016/j.neuroimage.2011.03.047
NeuroImage
Keywords
Field
DocType
fMRI,Spatio-temporal,Multivariate,Markov,Brain-state,Semi-supervised,Mean field
Brain mapping,Multivariate statistics,Computer science,Markov chain,Temporal models,Formal description,Artificial intelligence,Multivariate analysis,Cognition,Machine learning
Journal
Volume
Issue
ISSN
57
2
1053-8119
Citations 
PageRank 
References 
8
0.67
18
Authors
4
Name
Order
Citations
PageRank
Firdaus Janoos11009.58
Raghu Machiraju286478.64
Shantanu Singh3315.06
Istvan Ákos Morocz4101.39