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
Open accessAbstract
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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Smaller hippocampal and medial prefrontal cortex volumes are consistently linked to non-remission or treatment resistance in major depressive disorder.
“and non-remission/treatment resistance (28,31–38).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [34]
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- Authors
- 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.
- Affiliations
- Massachusetts General Hospital (US)
- Brigham and Women's Hospital (US)
- ORCID
- Venue
- Psychiatry Research: Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 211
- Issue
- 3
- Pages
- 202-213
- ISSN
- 0925-4927 (ISSN-L)
- PMC
- PMC3574623
- OpenAlex
- W2020746764
- Cited by
- 13
- References
- 49
- Citations by year
- 2020: 1 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 2
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- U.S. Department of Veterans Affairs
- Massachusetts General Hospital
- National Institutes of Health (R01 MH 50740, LM008748)
- National Institute of Mental Health (R01MH50740, R01MH050740, MH-086026, K24MH094614, R01MH086026, K23MH067111)
- U.S. National Library of Medicine (U54LM008748)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- major depressive disorder, brain structure, structural MRI, electronic health records, feasibility, remission, rostral anterior cingulate cortex, hippocampus, rostral middle frontal gyrus
- MeSH terms
- Adolescent, Adult, Aged, Brain, Major Depressive Disorder, Feasibility Studies, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Pilot Projects, Psychiatric Status Rating Scales, Young Adult, Electronic Health Records
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