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Theodore Daniel Satterthwaite
Member, Center for Neuroimaging in Psychiatry, University of Pennsylvania Perelman School of Medicine
Attending Physician, Hospital of the University of Pennsylvania, Philadelphia
Member, Center for Biomedical Computing and Image Analysis, University of Pennsylvania Perelman School of Medicine
Member, Center for Functional Neuroimaging, University of Pennsylvania Perelman School of Medicine
Member, Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine
Member, Center for the Neuroscience of Depression and Stress, University of Pennsylvania Perelman School of Medicine
Member, Warren Center for Network and Data Science, University of Pennsylvania
Member, Penn/CHOP Lifespan Brain Institute
Member, Center for Autism Research, Children's Hospital of Philadelphia
Member, mindCORE, University of Pennsylvania
Director, Penn Lifespan Informatics and Neuroimaging Center (PennLINC)
Department: Psychiatry
Graduate Group Affiliations
10th Floor Gates Building
sattertt@pennmedicine.upenn.edu
Department of Psychiatry Penn Behavioral Health Faculty Page.
B.A. (Psychology: Neuroscience)
Williams College, 2000.
M.A. (Biology: Neuroscience)
Washington University in St. Louis, 2006.
M.D. (Medicine)
Resident in Psychiatry, Hospital of the University of Pennsylvania, Department of Psychiatry, Philadelphia, 2006-2010.
Neuropsychiatry Fellow, Hospital of the University of Pennsylvania, Department of Psychiatry, Neuropsychiatry Section, Philadelphia, 2010-2012.
My goal is to use multimodal neuroimaging to better understand psychiatric symptoms in the context of brain development and reward system function. Areas of focus include studying a) how functional brain networks evolve in health and disease and b) how reward system function relates to symptoms such as anhedonia that are common across multiple traditional psychiatric diagnoses. Throughout, I place a particular emphasis on the application of novel analysis methodology for integrating high-dimensional imaging, clinical, and genomic data.