A Model-Free Approach for Classification of fMRI Brain Images
Shinkareva, Svetlana V.
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https://hdl.handle.net/2142/82097
Description
Title
A Model-Free Approach for Classification of fMRI Brain Images
Author(s)
Shinkareva, Svetlana V.
Issue Date
2005
Doctoral Committee Chair(s)
Lawrence Hubert
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Biology, Neuroscience
Language
eng
Abstract
This dissertation considers the problem of classifying subjects into predefined groups based on functional magnetic resonance imaging (fMRI) data. Classification of subjects into predefined groups, such as patient vs. control, based on their functional MRI data is a potentially useful procedure for ensuring homogeneous research samples and for clinical diagnostic purposes. Unlike other methods addressing the same question that are using either predefined regions of interest or statistical parametric maps, the proposed methodology uses preprocessed time series for the whole brain volume. Using a training set of two groups of subjects the presented methodology identifies spatio-temporal features that distinguish the groups and uses these features to categorize new subjects. The methodology is illustrated using simulations and in vivo data sets.
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