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ENAR Webinar Friday 26 June 2015 on Analysis of fMRI Data

  • 1.  ENAR Webinar Friday 26 June 2015 on Analysis of fMRI Data

    Posted 06-23-2015 23:38
    This message has been cross posted to the following eGroups: Statistical Consulting Section and Biopharmaceutical Section .
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    ENAR is pleased to announce the next in its series of webinars:

     

    The Statistical Analysis of fMRI Data
     

    Friday, June 26, 2015
    10:00 am to 12:00 pm Eastern

     

     Presenter: Martin Lindquist

    Professor, Department of Biostatistics, Johns Hopkins University

      

    As a benefit of ENAR membership, you may participate in one webinar per year at no charge. Registration fees are by membership category (including for non-members), with a reduced fee for student members. Each ENAR  webinar (or "webENAR") is intended to be broadly available, and ENAR encourages groups at your institution or workplace to participate together.

    Please visit the ENAR Education section of our website at http://www.enar.org/education/index.cfm for complete descriptions of upcoming webinars, to register, or to submit suggestions to the Committee for future topics or speakers.

    Webinar Description:

    Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique for studying brain activity. During the past two decades fMRI has provided researchers with an unprecedented access to the inner workings of the brain, leading to countless new insights into how the brain processes information. The field that has grown around the acquisition and analysis of fMRI data has experienced a rapid growth in the past several years and found applications in a wide variety of areas. This webinar introduces fMRI and discusses key statistical aspects involved in the analysis of fMRI data. Topics include: (a) an overview of the acquisition and reconstruction of fMRI data; (b) overview of the physiological basis of the fMRI signal; (c) common experimental designs; (d) pre-processing steps; (d) methods for localizing areas activated by a task; (e.) connectivity analysis; and (f.) prediction and brain decoding.



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    Lynn Eberly
    University of Minnesota
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