The goal of the Computational Neuroanatomy and Neuroinformatics (CNN) Laboratory is to fill the gaps in the field of neurobiology and neuroimaging, particularly the lack of systematic construction of models for quantitative neurobiological criteria that can aid clinical diagnoses of cognitive dimensional deficits associated with severe brain disorders. The research of the CNN Lab focuses on development and implementations of analytic and statistical models for providing quantitative biological criteria that help diagnose cognitive defects by integrating high-dimensional, multi-modal MR neuroimaging, clinical and behavior data and refined imaging analysis and machine learning techniques.
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