Publication:

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

Loading...
Thumbnail Image

Date

2013

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier BV
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Hoogenboom, Wouter S., Roy H. Perlis, Jordan W. Smoller, Qing Zeng-Treitler, Vivian S. Gainer, Shawn N. Murphy, Susanne E. Churchill, Isaac S. Kohane, Martha E. Shenton, and Dan V. Iosifescu. 2013. 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 Research: Neuroimaging 211, no. 3: 202–213. doi:10.1016/j.pscychresns.2012.07.007.

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 nonremitters), and fifteen 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.

Description

Research Data

Keywords

MDD, refractory depression, structural MRI, hippocampus, legacy data, natural language processing

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories