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Activity Number: 531
Type: Topic Contributed
Date/Time: Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #309568
Title: A Structural Equation Model for fMRI Data with Mixed Functional and Discrete Responses
Author(s): Wesley Thompson*+
Companies: University of Pittsburgh
Address: 6476 Monitor Street, Pittsburgh, PA, 15217,
Keywords: fMRI experiment ; functional linear models ; SEM ; effective connectivity
Abstract:

In fMRI effective connectivity analyses, a common question is how two or more regions of interest (ROIs) within the brain interact with each other to process a given experimental task; it may be of interest to determine how differing levels of activation or connectivity in the ROIs affects success or failure in the completion of the task. Conversely, how a subject performs on the task may in turn affect future activation levels in the ROIs. In this talk I develop a structural equation model where some of the outcomes are discrete (success/failure) and some of the outcomes are functional (BOLD activation levels in ROIs over time). This model is applied to data obtained from an event-related fMRI working memory experiment designed to determine brain correlates of cognitive control and emotional reactivity to errors in performing tasks.


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Revised September, 2007