Data mining a functional neuroimaging database for functional segregation in brain regions

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    93 Downloads (Pure)

    Abstract

    We describe a specialized neuroinformatic data mining technique in connection with a meta-analytic functional neuroimaging database: We mine for functional segregation within brain regions by identifying journal articles that report brain activations within the regions and clustering the abstract of the articles using non-negative matrix factorization on the bag-of-words matrix. We divide the brain activations reported in the articles according to the cluster assignment and test for difference between the spatial distribution of the sets of activations. Among our findings is that the memory and pain functions are spatially segregated within the cingulate gyrus.
    Original languageEnglish
    Title of host publicationProceedings fra den 15. Danske Konference i Mønstergenkendelse og Billedanalyse
    EditorsSøren I. Olsen
    PublisherThe Department of Computer Science, University of Copenhagen
    Publication date2006
    Publication statusPublished - 2006
    EventDen 15. Danske Konference i Mønstergenkendelse og Billedanalyse - Datalogisk Institut, Københavns Universitet, Copenhagen, Denmark
    Duration: 24 Aug 200625 Aug 2006
    Conference number: 15

    Conference

    ConferenceDen 15. Danske Konference i Mønstergenkendelse og Billedanalyse
    Number15
    LocationDatalogisk Institut, Københavns Universitet
    Country/TerritoryDenmark
    CityCopenhagen
    Period24/08/200625/08/2006

    Cite this