A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data

Abstract

Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper we present a mixture-based response-surface technique for extracting and characterizing spatial clusters of activation patterns from fMRI data. Each mixture component models a… (More)
DOI: 10.1007/11866763_27

Topics

3 Figures and Tables

Cite this paper

@article{Kim2006ANB, title={A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data}, author={Seyoung Kim and Padhraic Smyth and Hal S. Stern}, journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, year={2006}, volume={9 Pt 2}, pages={217-24} }