Testing for difference between two groups of functional neuroimaging experiments

Finn Årup Nielsen, Andrew C. N. Chen, Lars Kai Hansen

AbstractWe describe a meta-analytic method that tests for the difference between two groups of functional neuroimaging experiments. We use kernel density estimation in three-dimensional brain space to convert points representing focal brain activations into a voxel-based representation. We find the maximum in the subtraction between two probability densities and compare its value against a resampling distribution obtained by permuting the labels of the two groups. As such it appears as a general method for comparing the local intensity of two non-stationary spatial point processes. The method is applied on data from thermal pain studies where "hot pain" and "cold pain" form the two groups.
KeywordsNeuroinformatics, kernel density estimation
TypeConference paper [Without referee]
ConferenceDen 13. Danske Konference i Mønstergenkendelse og Billedanalyse
Year2004    Month August
PublisherDIKU
AddressCopenhagen
Electronic version(s)[pdf]
Publication linkhttp://www.imm.dtu.dk/~fn/Nielsen2004Testing.html
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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