Detecting and inferring brain activation from functional MRI by hypothesis-testing based on the likelihood ratio

Dimitrios Ekatodramis, Gábor Székely, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    For the measure of brain activation in functional MRI many methods compute a heuristically chosen metric. The statistic of the underlying metric which is implicitly derived from the original assumption about the noise in the data, provides only an indirect way to the statistical inference of brain activation. An alternative procedure is proposed by presenting a binary hypothesis-testing approach. This approach treats the problem of detecting brain activation by directly deriving a test statistic based on the probabilistic model of the noise in the data. Thereby, deterministic and parameterized models for the hemodynamic response can be considered. Results show that time series models can be detected even if they are characterized by unknown parameters, associated with the unclear nature of the mechanisms that mediate between neuronal stimulation and hemodynamic brain response. The likelihood ratio tests proposed in this paper are very efficient and robust in making a statistical inference about detected regions of brain activation. To validate the applicability of the approach a simulation environment for functional MRI is used. This environment also serves as a testbed for comparative study and systematic tests.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings
    EditorsWilliam M. Wells, Alan Colchester, Scott Delp
    PublisherSpringer Verlag
    Pages578-589
    Number of pages12
    ISBN (Print)3540651365, 9783540651369
    DOIs
    StatePublished - 1998
    Event1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 - Cambridge, United States
    Duration: Oct 11 1998Oct 13 1998

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1496
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998
    CountryUnited States
    CityCambridge
    Period10/11/9810/13/98

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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