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Title:Modelling Effective Connectivity in Functional Magnetic Resonance Imaging Data by State Space Models
Author(s):Ho, Moon-Ho Ringo
Doctoral Committee Chair(s):Hubert, Lawrence J.
Department / Program:Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Biology, Neuroscience
Abstract:This dissertation develops a new approach using state space models for effective connectivity analysis. The proposed approach integrates both activation and connectivity analysis into one single model. It takes the temporal information in the fMRI data into consideration explicitly and can be used to model the relationship among multiple region-of-interests in the brain. Dynamic characteristics of connectivity can also be investigated. The proposed approach is very flexible and can be used to test for commonalities and differences in the connectivity patterns across subjects. An empirical application for testing an attentional control network from a fMRI experiment is presented. The results provide partial support that higher order control (middle frontal gyrus, MFG) influences the two sites of control (lingual gyrus, LG, and middle occipital gyrus, MOG, in this experiment). There is also strong evidence indicating heterogeneity in the subjects' connectivity between LG and MFG. Moreover, the strength of the connectivity between LG and MFG, and between MOG and MFG show decreasing trend during the experiment.
Issue Date:2003
Description:130 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.
Other Identifier(s):(MiAaPQ)AAI3101864
Date Available in IDEALS:2015-09-25
Date Deposited:2003

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