Feasibility of studying brain morphology in major depressive disorder with structural magnetic resonance imaging and clinical data from the electronic medical record: A pilot study |
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Authors: | Wouter S. Hoogenboom Roy H. Perlis Jordan W. Smoller Qing Zeng-Treitler Vivian S. Gainer Shawn N. Murphy Susanne E. Churchill Isaac S. Kohane Martha E. Shenton Dan V. Iosifescu |
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Affiliation: | 1. Depression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, United States;2. Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women''s Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA 02215, United States;3. Center for Human Genetic Research, Laboratory of Psychiatric Pharmacogenomics, Massachusetts General Hospital, Boston, MA 02114, United States;4. Psychiatric Genetics Program in Mood and Anxiety Disorders, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, United States;5. University of Utah, Department of Biomedical Informatics, Salt Lake City, UT 84112, United States;6. VA Salt Lake City Health Care System, Salt Lake City, UT 84148, United States;7. Information Systems, Partners HealthCare System, Inc., Charlestown, MA 02129, United States;8. Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA 02114, United States;9. 2b2 National Center for Biomedical Computing, Brigham and Women''s Hospital, Boston, MA 02215, United States;10. Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA 02301, United States;11. Mood and Anxiety Disorders Program, Mount Sinai School of Medicine, New York, NY 10029, United States |
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Abstract: | For certain research questions related to long-term outcomes or to rare disorders, designing prospective studies is impractical or prohibitively expensive. Such studies could instead utilize clinical and magnetic resonance imaging data (MRI) collected as part of routine clinical care, stored in the electronic medical record (EMR). Using major depressive disorder (MDD) as a disease model, we examined the feasibility of studying brain morphology and associations with remission using clinical and MRI data exclusively drawn from the EMR. Advanced automated tools were used to select MDD patients and controls from the EMR who had brain MRI data, but no diagnosed brain pathology. MDD patients were further assessed for remission status by review of clinical charts. Twenty MDD patients (eight full-remitters, six partial-remitters, and six non-remitters), and 15 healthy control subjects met all study criteria for advanced morphometric analyses. Compared to controls, MDD patients had significantly smaller right rostral-anterior cingulate volume, and level of non-remission was associated with smaller left hippocampus and left rostral-middle frontal gyrus volume. The use of EMR data for psychiatric research may provide a timely and cost-effective approach with the potential to generate large study samples reflective of the real population with the illness studied. |
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