Evidence map›Paper›PMID 23149041›Full record

ArticlePsychiatry research2013

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.

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

Abstract read
In one paragraph

Article in Psychiatry research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Electroconvulsive Therapy-Induced Brain Structural and Functional Changes in Major Depressive Disorders: A Longitudinal Study.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Trial
  2. Review
  3. The use of electronic health records for psychiatric phenotyping and genomics.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hippocampus atrophy and the longitudinal course of late-life depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2014
    Article
  9. The infralimbic cortex bidirectionally modulates mesolimbic dopamine neuron activity via distinct neural pathways.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wouter S HoogenboomDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, United States. hoogenboomw@gmail.com
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

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
COMPUTERIZED IMAGE ANALYSES OF MR SCANS IN SCHIZOPHRENIAR01MH050740 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI SHENTON, MARTHA E. · 1999 to 2009
$4.4M
Building a Risk Stratification Model for Treatment Resistance in Major DepressiveR01MH086026 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2009 to 2011
$1.3M
Research and Mentoring on Integrating Psychiatric Genetics and NeuroscienceK24MH094614 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2012 to 2016
$925k
Depression and Brain MetabolismK23MH067111 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI IOSIFESCU, DAN VLAD · 2003 to 2007
$844k
NIMH NIH HHS K23 MH067111NIMH NIH HHS K24 MH094614NIMH NIH HHS MH086026NIMH NIH HHS R01 MH050740NIMH NIH HHS R01 MH086026NIMH NIH HHS R01MH50740NLM NIH HHS U54 LM008748NLM NIH HHS U54-LM008748
6 · The paper itself

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.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedBrainElectronic Health RecordsFeasibility StudiesFemaleHumansImage Processing, Computer-AssistedMajor Depressive DisorderMaleMiddle AgedPilot ProjectsPsychiatric Status Rating ScalesYoung Adult

Identifiers

PMID23149041
PMCPMC3574623

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.