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

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    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 : Torsdag d. 24. august og Fredag d. 25. august - Datalogisk Institut, Københavns Universitet
    Duration: 1 Jan 2006 → …
    Conference number: 15

    Conference

    ConferenceDen 15. Danske Konference i Mønstergenkendelse og Billedanalyse : Torsdag d. 24. august og Fredag d. 25. august
    Number15
    CityDatalogisk Institut, Københavns Universitet
    Period01/01/2006 → …

    Cite this

    Nielsen, F. Å., Balslev, D., & Hansen, L. K. (2006). Data mining a functional neuroimaging database for functional segregation in brain regions. In S. I. Olsen (Ed.), Proceedings fra den 15. Danske Konference i Mønstergenkendelse og Billedanalyse The Department of Computer Science, University of Copenhagen. http://www.diku.dk/publikationer/tekniske.rapporter/rapporter/06-08.pdf