Bayesian Networks Modeling for Brain Effective Connectivity in Parkinsons Disease ( PD )
نویسندگان
چکیده
Research derived from non-invasive brain imaging modalities has been used to explore the spatial and temporal organization of the neural systems supporting human behavior and causing brain disorders. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, and magnetic resonance imaging (MRI). In this talk, we will present advanced human brain mapping techniques specifically developed for MRI and their applications for computer aided diagnosis and follow-up of neurodegenerative and neurological diseases. The brain mapping techniques to be discussed include high-dimensional hybrid volumetric and surface warping; cortical surface reconstruction, registration, statistical modeling, conformal mapping and visualization, whole brain parcellation, and diffusion tensor imaging and gray matter diffusivity quantitation. These techniques are applied to aid the diagnosis and follow-up of wide range of neurologic disorders including Creutzfeldt-Jakob disease, Alzheimer’s disease, schizophrenia, primary brain tumor, post stroke dementia, Polymicrogyria, and adolescent idiopathic scoliosis.
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