Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity

Barnaly Rashid, Mohammad Reza Arbabshirani, Eswar Damaraju, Robyn Millar, Mustafa S. Cetin, Godfrey D. Pearlson, Vince D. Calhoun

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

    Abstract

    Recently, there is a growing interest in designing objective prognostic/diagnostic tools based on neuroimaging and other data that display high accuracy and robustness. Small training subjects and very large amount of high dimensional data make it a challenging task to design robust and accurate classifiers for heterogeneous disorders such as schizophrenia. Majority of previous works have focused on classification of schizophrenia from healthy controls while automatic differential diagnosis of schizophrenia from bipolar disorder has been rarely investigated. In this work, we propose a framework for automatic classification of schizophrenia, bipolar and healthy control subjects based on static and dynamic functional network connectivity (FNC) features. Our results show that disrupted functional integration in schizophrenia and bipolar patients as captured by FNC analysis reveal powerful information for automatic discriminative analysis.

    Original languageEnglish (US)
    Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
    PublisherIEEE Computer Society
    Pages251-254
    Number of pages4
    ISBN (Electronic)9781479923748
    DOIs
    StatePublished - Jul 21 2015
    Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
    Duration: Apr 16 2015Apr 19 2015

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    Volume2015-July
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
    CountryUnited States
    CityBrooklyn
    Period4/16/154/19/15

    Keywords

    • bipolar
    • classification
    • dynamic functional network connectivity
    • fMRI
    • schizophrenia

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Rashid, B., Arbabshirani, M. R., Damaraju, E., Millar, R., Cetin, M. S., Pearlson, G. D., & Calhoun, V. D. (2015). Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 251-254). [7163861] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7163861