Paul Thompson's Research Publications

Detecting Disease-Specific Patterns of Brain Structure using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas

Paul Thompson PhD, Michael S. Mega MD PhD, Christine Vidal, Judith Rapoport MD, Arthur W. Toga PhD

Laboratory of Neuro Imaging, Division of Brain Mapping, and
Alzheimer's Disease Center Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA
Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD

Proc. 17th International Conference on Information Processing in Medical Imaging (IPMI2001), Davis, CA, USA, June 18-22, 2001, pp. 488-501.

[Full Article: Without Figures (.pdf 60K); With All Figures in Color, as in Proceedings (.pdf 401K); With All Figures in Grayscale (.ps.gz 1.3M); With All Figures in Color (.ps.gz 3.6M); All Figures are below]

[Click on each Image for Larger Version]


The rapid creation of comprehensive brain image databases mandates the development of mathematical algorithms to uncover disease-specific patterns of brain structure and function in human populations. We describe our construction of probabilistic atlases that store detailed information on how the brain varies across age and gender, across time, in health and disease, and in large human populations. Specifically, we introduce a mathematical framework based on covariant partial differential equations (PDEs), pull-backs of mappings under harmonic flows, and high-dimensional random tensor fields to encode variations in cortical patterning, asymmetry and tissue distribution in a population-based brain image database (N=94 scans). We use this information to detect disease-specific abnormalities in Alzheimer's disease and schizophrenia, including dynamic changes over time. Illustrative examples are chosen to show how group patterns of cortical organization, asymmetry, and disease-specific trends can be resolved that are not apparent in individual brain images. Finally, we create four-dimensional (4D) maps that store probabilistic information on the dynamics of brain change in development and disease. Digital atlases that generate these maps show considerable promise in identifying general patterns of structural and functional variation in diseased populations, and revealing how these features depend on demographic, genetic, clinical and therapeutic parameters.

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    Contact Information

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    Paul Thompson, Ph.D.
    Assistant Professor of Neurology
    UCLA Lab of Neuro-Imaging and Brain Mapping Division
    Dept. Neurology and Brain Research Institute
    4238 Reed Neurology, UCLA Medical Center
    710 Westwood Plaza
    Westwood, Los Angeles CA 90095-1769, USA.

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