Evidence map›Paper›PMID 34331655›Full record

SynthesisBrain imaging and behavior2022

Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis.

Amin Saberi, Esmaeil Mohammadi, Mojtaba Zarei, Simon B Eickhoff, Masoud Tahmasian

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 11% of its field
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Pharmacotherapy of major depressive disorder in older adults: from an evidence-informed stepwise algorithm to precision medicine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  6. Article
  7. Review
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  16. Article
  17. Review
  18. Article
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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

5 authors at 2 institutions in 2 countries.

Amin SaberiInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Esmaeil MohammadiInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Mojtaba ZareiInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Simon B EickhoffInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.
Masoud TahmasianInstitute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran. m_tahmasian@sbu.ac.ir.ORCID http://orcid.org/0000-0002-8304-2876
Shahid Beheshti University · IRHeinrich Heine University Düsseldorf · DE

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
NIMH NIH HHS R01 MH074457
6 · The paper itself

Abstract

Several neuroimaging studies have investigated localized aberrations in brain structure, function or connectivity in late-life depression, but the ensuing results are equivocal and often conflicting. Here, we provide a quantitative consolidation of neuroimaging in late-life depression using coordinate-based meta-analysis by searching multiple databases up to March 2020. Our search revealed 3252 unique records, among which we identified 32 eligible whole-brain neuroimaging publications comparing 674 patients with 568 controls. The peak coordinates of group comparisons between the patients and the controls were extracted and then analyzed using activation likelihood estimation method. Our sufficiently powered analysis on all the experiments, and more homogenous subsections of the data (patients > controls, controls > patients, and functional imaging experiments) revealed no significant convergent regional abnormality in late-life depression. This inconsistency might be due to clinical and biological heterogeneity of LLD, as well as experimental (e.g., choice of tasks, image modalities) and analytic flexibility (e.g., preprocessing and analytic parameters), and distributed patterns of neural abnormalities. Our findings highlight the importance of clinical/biological heterogeneity of late-life depression, in addition to the need for more reproducible research by using pre-registered and standardized protocols on more homogenous populations to identify potential consistent brain abnormalities in late-life depression.

Indexed as

DepressionMagnetic Resonance ImagingBrainFunctional NeuroimagingHumansNeuroimagingActivation likelihood estimationFunctional magnetic resonance imagingLate-life depressionPositron emission tomographyVoxel-based morphometry

Identifiers

PMID34331655
PMCPMC13254782
OpenAlexW3161922262

What OpenQuestion holds

Textmetadata
LicenceTDM
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.