Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling

Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Siebner, Lars Kai Hansen, Morten Mørup

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    In this paper we investigate how the Infinite Relational Model can be used to infer functional groupings of the human striatum using resting state fMRI data from 30 healthy subjects. The Infinite Relational Model is a non-parametric Bayesian method for infering community structure in complex networks. We visualize the solution found by performing evidence accumulation clustering on the maximum a posterior solutions found in 100 runs of the sampling scheme. The striatal groupings found are symmetric between hemispheres indicating that the model is able to group voxels across hemispheres, which are involved in the same neural computations. The reproducibility of the groupings found are assessed by calculating mutual information between half splits of the subject sample for various hyperparameter values. Finally, the model's ability to predict unobserved links is assessed by randomly treating links and non-links in the graphs as missing. We find that the model is performing well above chance for all subjects.
    Original languageEnglish
    Title of host publicationMachine Learning and Interpretation in Neuroimaging : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
    PublisherSpringer
    Publication date2012
    Pages226-233
    ISBN (Print)978-3-642-34712-2
    ISBN (Electronic)978-3-642-34713-9
    DOIs
    Publication statusPublished - 2012
    EventInternational Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011) - Granada, Spain
    Duration: 16 Dec 201117 Dec 2011
    https://sites.google.com/site/mlini2011/home

    Workshop

    WorkshopInternational Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011)
    CountrySpain
    CityGranada
    Period16/12/201117/12/2011
    Internet address
    SeriesLecture Notes in Computer Science
    Volume7263
    ISSN0302-9743

    Keywords

    • Complex networks
    • Graph theory
    • Infinite relational Model
    • Basal ganglia
    • Striatum

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