This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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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 - #309166 |
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Title:
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Reliable Measures of Functional Connectivity in the Brain in the Presence of Physiological Nuisance Signals
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Author(s):
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Ohn Jo Koh*+ and William R. Schucany and Jeffrey Spence and Wayne A. Woodward
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Companies:
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Southern Methodist University and Southern Methodist University and The University of Texas Southwestern Medical Center at Dallas and Southern Methodist University
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Address:
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Department of Statistical Science , Dallas, TX, 75275-0332,
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Keywords:
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fMRI ;
functional connectivity ;
nuisance signal ;
resting-state ;
physiological noise
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Abstract:
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Functional connectivity is a temporal correlation between different regions of the brain. It has been shown that measures of functional connectivity from functional MRI data of the resting-state brain are confounded by physiological nuisance signals such as cardiac and respiratory signals. We investigate a new method of estimating physiological signals from fMRI data and compare those estimates to actual measurements. We define a new measure of functional connectivity and compare various measures of functional connectivity for robustness to the physiological nuisance signals through a simulation experiment.
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