### Abstract

Original language | English |
---|---|

Title of host publication | Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse |

Publisher | Department of Computer Science, University of Copenhagen (DIKU) |

Publication date | 2004 |

Publication status | Published - 2004 |

### Cite this

*Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse*Department of Computer Science, University of Copenhagen (DIKU).

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*Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse.*Department of Computer Science, University of Copenhagen (DIKU).

**Testing for difference between two groups of functional neuroimaging experiments.** / Nielsen, Finn Årup; Chen, Andrew C. N.; Hansen, Lars Kai.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

TY - GEN

T1 - Testing for difference between two groups of functional neuroimaging experiments

AU - Nielsen, Finn Årup

AU - Chen, Andrew C. N.

AU - Hansen, Lars Kai

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Neuroinformatics

KW - kernel density estimation

M3 - Article in proceedings

BT - Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse

PB - Department of Computer Science, University of Copenhagen (DIKU)

ER -