|We 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.|
Here, we instead uses kernel density estimates and resampling-based statistical tests to test whether two different sets of 3D coordinates are the same/different:
|Our study = kernel density estimates + resampling + Talairach coordinates|
Data comes from the Brede database, and functions from the Brede Neuroinformatics Toolbox are used to analyze the data.
|Finn Årup Nielsen is a Post Doc at the Neurobiology Research Unit, Copenhagen University Hospital on a grant for postdoctoral studies from the Villum Kann Rasmussen Foundation.|
|Andrew C. N. Chen is research professor at Center of Sensory-Motor Interaction at Aalborg University.|
|Lars Kai Hansen is Professor at Informatics and Mathematical Modelling, Technical University of Denmark|