Abstract Details
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Activity Number:
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65
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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SSC
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| Abstract - #308240 |
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Title:
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Functional Data Analysis for fMRI
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Author(s):
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Martin Lindquist*+
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Companies:
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Johns Hopkins Bloomberg School of Public Health
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Keywords:
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neuroimaging ;
fmri ;
brain ;
functional data analysis
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Abstract:
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In recent years there have been a number of exciting developments in the area of functional data analysis (FDA). Many of the methods that have been developed are ideally suited for the analysis of functional Magnetic Resonance Imaging (fMRI) data, which consists of images and/or curves. In this talk we discuss how methods from FDA can be used to uncover exciting new results, not readily apparent using standard analysis techniques, in wide-ranging areas of fMRI research such as the estimation of the hemodynamic response function, brain connectivity, prediction and the analysis of multi-modal data.
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Authors who are presenting talks have a * after their name.
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