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Activity Number: 177
Type: Contributed
Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #304496
Title: Estimation Issues in Modeling Stimulus Response from Optical Imaging Data
Author(s): Haley Hedlin*+ and Michael Lavine and Michael Haglund and Daryl Hochman
Companies: University of Massachusetts-Amherst and University of Massachusetts-Amherst and Duke University Medical Center and Duke University Medical Center
Address: , , MA, , United States
Keywords: dynamic linear models ; neuroscience ; imaging

Neuroscientists measure neuronal activity via many techniques, EEG and MRI being two well-known examples. Intrinsic optical signal imaging is a technique that measures the amount of light absorbed and scattered by tissue on the surface of the brain in response to neuronal activity. In our motivating application, stimulus-evoked neuronal activity is recorded from several regions of the cortical surface via optical imaging. Our goal is to estimate the stimulus response curve; however, the signal of interest must be separated from noise such as heartbeat and respiration artifacts. Dynamic linear models have been previously proposed to model the neuronal signal and the noise artifacts. In this work we discuss estimation issues encountered in this setting and propose improvements and potential solutions.

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