Modeling of BrainMap data

Finn Årup Nielsen, Lars Kai Hansen

AbstractWe apply machine learning techniques in the form of Gaussian mixture models to functional brain activation data. The dataset was extracted through the WWW interface to the BrainMap(tm) (Research Imaging Center, University of Texas Health Science Center at San Antonio) neuroimaging database. Modeling of the joint probability structure of activation foci and other database entries (e.g. behavioral domain, modality) enables us to summarize the accumulated body of activation coordinates in the form of a 3D density and allows us to explore issues like the effect of the experimental modality on the resulting brainmap.
Keywordsneuroinformatics, BrainMap, neuroimaging, Gaussian mixture model, generalization
TypeMisc [Other]
Year1999    Month May
PublisherInformatics and Mathematical Modelling, Technical University of Denmark
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
NoteInternet published manuscript
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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