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

Detecting Disease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas,10.1007/3-540-

Detecting Disease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas   (Citations: 41)
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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 differ- ential equations (PDEs), pull-backs of mappings under harmonic flows, and high-dimensional random tensor fields to encode variations in corti- cal 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 individ- ual brain images. Finally, we create four-dimensional (4D) maps that store probabilistic information on the dynamics of brain change in de- velopment 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 pa- rameters.
Conference: Information Processing in Medical Imaging - IPMI , pp. 488-501, 2001
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    • ...Cortical surface registration has important applicationsin cross-sectionalandlongitudinalneuroanatomical studies, for examplemappingand analyzingprogression of disorders such as Alzheimer’s disease [8] and studying growth patterns in developing human brains [9, 10]...
    • ...A class of surface registration based methods use an intermediate parameter space, either a square [8, 11] or a sphere [15], on which the sulcal landmarks or shape based features are aligned...

    Anand Joshiet al. Optimization of landmark selection for cortical surface registration

    • ...An image analysis technique, known as cortical pattern matching (Ashburner et al., 2003; Thompson et al., 2003; Thompson, Mega, Vidal, Rapoport, & Toga, 2001), was used to better localize cortical differences over time, and increase the power to detect systematic changes (Thompson et al., 2003)...
    • ...To quantify local gray matter, we used a measure termed ‘gray matter density’ used in many prior studies, which measures the proportion of gray matter in a small region of fixed radius (15 mm) around each cortical point (Sowell et al., 2003; Thompson, Mega, et al., 2001; Thompson et al., 2000, 2003)...
    • ...In schizophrenia, the brain shows loss of GM volume which appears to be an exaggeration of the normal GM development (Gogtay, Giedd et al., 2004; Thompson, Vidal et al., 2001), while the brain changes in bipolar illness are heterogeneous, lateralized, and marked by enlarged GM volumes over time in some regions, thus strongly suggesting that these two illnesses are distinct neurobiological entities...

    Nitin Gogtayet al. Dynamic mapping of cortical development before and after the onset of ...

    • ...Related studies include progression of disorders such as Alzheimer’s disease, brain growth patterns, genetic influences [1] and the effects of drug abuse on the structure and function of the brain [2]...
    • ...The proposed cortical matching algorithm was tested with a dataset of six subject brains, segmented from MRI scans using the BrainSuite tool [24], each supplemented with a set of sulcal curves marked by an expert according to the LONI Sulcal Tracing Protocol [1]...

    Ilya Ecksteinet al. Generalized Surface Flows for Deformable Registration and Cortical Mat...

    • ...Investigators have studied progression of di sorders such as Alzheimer’s disease [1], growth patterns in developing human brains [2], genetic influences [3] and the influence of medication and drug abuse on the structure and function of the brain [4, 5]. Intersubject surface registra tion, or the intrasubject analysis required for longitudinal stu dies, presents a difficult problem due to inter-subject variabili ty and the convoluted ...

    Anand A. Joshiet al. A Finite Element Method for Elastic Parameterization and Alignment of ...

    • ...(4)Lastly, rotationally invariant shape descriptors were calculated, normalized for easy visual analysis and plotted in . We hope these two-dimensional visualizations of global shape descriptors will serve as a g uide for future statistical analysis similar to that in [1] and the cr eation of disease-specific brain atlases as in [7]...

    Boris Gutmanet al. Hippocampal Surface Analysis Using Spherical Harmonic Function Applied...

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