Evidence map›Paper›PMID 24381231›Full record

ArticleJournal of geriatric psychiatry and neurology2014

Magnetic resonance imaging predictors of treatment response in late-life depression.

Howard J Aizenstein, Alexander Khalaf, Sarah E Walker, Carmen Andreescu

Abstract read
In one paragraph

Article in Journal of geriatric psychiatry and neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Moderators of treatment response in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Multidimensional imaging techniques for prediction of treatment response in major depressive disorder.Progress in neuro-psychopharmacology & biological psychiatry · 2019
    Article
  16. Neuroimaging of Small Vessel Disease in Late-Life Depression.Advances in experimental medicine and biology · 2019
    Article
  17. Article
  18. Article
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  20. 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

4 authors.

Howard J AizensteinDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Alexander Khalaf
Sarah E Walker
Carmen Andreescu

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
RESEARCH METHODS COREP30MH090333 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F · 2011 to 2015
$8.3M
Pharmacologic MRI Predictors of Treatment Response in Late-Life DepressionR01MH076079 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ANDREESCU, CARMEN · 2006 to 2022
$7.1M
Functional and Structural Neuroanatomy in Late-Life Generalized Anxiety DisorderK23MH086686 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANDREESCU, CARMEN · 2010 to 2014
$841k
NCATS NIH HHS UL1 TR000005NIMH NIH HHS K23 MH086686NIMH NIH HHS P30 MH090333NIMH NIH HHS R01 MH076079NIMH NIH HHS R01MH076079
6 · The paper itself

Abstract

In older adults, depression not only results in more years lived with disability than any other disease but it also carries additional risks of suicide, medical comorbidities, and family caregiving burden. Because it can take many months to identify an effective treatment regimen, it is of utmost importance to shorten the window of time and identify early on what medications and dosages will work effectively for individuals having depression. Late-life depression (LLD) has been associated with greater burden of age-related changes (eg, atrophy, white matter ischemic changes, and functional connectivity). Depression in midlife has been shown to alter affective reactivity and regulation, and functional magnetic resonance imaging (fMRI) studies in LLD have replicated the same abnormalities. Effective treatment can normalize these alterations. This article provides a review of the current literature using structural and functional neuroimaging to identify MRI predictors of treatment response in LLD. The majority of the literature on structural MRI has focused on the vascular depression hypothesis, and studies support the view that loss of brain volume and white matter integrity was associated with poorer treatment outcomes. Studies using fMRI have reported that lower task-based activity in the prefrontal cortex and limbic regions was associated with poorer outcome. These imaging markers may be integrated into clinical decision making to attain better treatment outcomes in the future.

Indexed as

AdultAgedAged, 80 and overAge of OnsetAgingAntidepressive AgentsDepressionFemaleHumansMagnetic Resonance ImagingMaleNerve Fibers, MyelinatedPredictive Value of TestsTreatment FailureTreatment OutcomeAntidepressive Agentslate-life depressionMR imagingneuroimaging

Identifiers

PMID24381231
PMCPMC4103612

What OpenQuestion holds

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Read underepoch 390

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.