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IPMI
2009
Springer

Exploratory fMRI Analysis without Spatial Normalization

9 years 10 months ago
Exploratory fMRI Analysis without Spatial Normalization
Abstract. We present an exploratory method for simultaneous parcellation of multisubject fMRI data into functionally coherent areas. The method is based on a solely functional representation of the fMRI data and a hierarchical probabilistic model that accounts for both intersubject and intra-subject forms of variability in fMRI response. We employ a Variational Bayes approximation to fit the model to the data. The resulting algorithm finds a functional parcellation of the individual brains along with a set of population-level clusters, establishing correspondence between these two levels. The model eliminates the need for spatial normalization while still enabling us to fuse data from several subjects. We demonstrate the application of our method on a visual fMRI study.
Danial Lashkari, Polina Golland
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where IPMI
Authors Danial Lashkari, Polina Golland
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