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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

Institution:
1Depression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. hoogenboomw@gmail.com.
2Psychiatric Genetics Program in Mood and Anxiety Disorders, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
3University of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA.
4Information Systems, Partners HealthCare System, Inc., Charlestown, MA, USA.
52b2 National Center for Biomedical Computing, Brigham and Women's Hospital, Boston, MA, USA.
6Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Elsevier Science
Publication Date:
Mar-2013
Journal:
Psychiatry Res
Volume Number:
211
Issue Number:
3
Pages:
202-13
Citation:
Psychiatry Res. 2013 Mar 30;211(3):202-13.
PubMed ID:
23149041
PMCID:
PMC3574623
Keywords:
MDD, Refractory Depression, Structural MRI, Hippocampus, Legacy data, Natural language processing
Appears in Collections:
PNL, SLICER
Sponsors:
K23 MH067111/MH/NIMH NIH HHS/United States
R01 MH086026/MH/NIMH NIH HHS/United States
R01 MH050740/MH/NIMH NIH HHS/United States
U54 LM008748/LM/NLM NIH HHS/United States
Generated Citation:
Hoogenboom W.S., Perlis R.H., Smoller J.W., Zeng-Treitler Q., Gainer V.S., Murphy S.N., Churchill S.E., Kohane I.S., Shenton M.E., Iosifescu D.V. 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. Psychiatry Res. 2013 Mar 30;211(3):202-13. PMID: 23149041. PMCID: PMC3574623.
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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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