The Computational Neuroanatomy and Neuroinformatics Laboratory aims to fill the gaps in the fields of neurobiology and neuroimaging, especially the need for systematically constructed models of quantitative neurobiological criteria that can aid in clinical diagnoses of cognitive deficits associated with severe brain disorders. The lab focuses on the development and implementation of analytical and statistical models for providing quantitative biological criteria that help identify cognitive deficits by integrating high-dimensional, multi-modal magnetic resonance neuroimaging, clinical and behavioral data and refined imaging analysis and machine learning techniques.