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via ScienceDirect Publication: NeuroImage on 3/24/11
Publication year: 2011Source: NeuroImage, In Press, Accepted Manuscript, Available online 24 March 2011
Firdaus, Janoos , Raghu, Machiraju , Shantanu, Singh , Istvan Ákos, Morocz
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....
Research Highlights: ►Multivariate spatio-temporal model of mental processes using state-space formalism ►Semi-supervised method allowing for discovery of intrinsic patterns in data ►Novel feature-space derived from an explicit formulation of functional similarity ►Efficient estimation using expectation maximization with mean-field approximation ►Comparative and quantitative single and multi-subject analysis results
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