A research study that investigates a statistical inference method for
sets of Talairach coordinates.

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, Andrew C. N. Chen, Lars Kai Hansen,
*Testing for difference between two groups of functional neuroimaging experiments*. Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse, 2004 August 19-20.

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 |