This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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466
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #308941 |
Title:
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Functional Mixed-Effects Model for Analyzing fMRI Data
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Author(s):
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Ragnheidur Haraldsdottir*+ and Martin Lindquist
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Companies:
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Columbia University and Columbia University
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Address:
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1255 Amsterdam Ave, New York, NY, 10027,
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Keywords:
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fMRI ;
Brain ;
FDA ;
Mixed-effects model
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Abstract:
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In this work we introduce a functional mixed-effects approach for analyzing fMRI data. For each individual the goal is to model the fMRI response curve using a series of basis functions corresponding to main effect, subject effect and condition effect. We derive an EM-algorithm to efficiently estimate model parameters. We apply this method on data from a thermal pain study where the individual subjects are inflicted with pain at each of 4 different temperatures. This method allows us to decompose the fMRI response into subject specific and temperature specific components in a flexible manner.
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