SynthesisCNS neuroscience & therapeutics2018
Neuroimaging genomic studies in major depressive disorder: A systematic review.
Synthesis in CNS neuroscience & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Neuroimaging genomic studies in major depressive disorder: A systematic review.CNS neuroscience & therapeutics · 2018Pooled it
- Neuronal Cell-Specific sc-eQTL and Integrative eQTL-pQTL Mendelian Randomization Prioritize CKAP2 as a Candidate Gene for Major Depressive Disorder.Journal of molecular neuroscience : MN · 2026Observational
- Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.Molecular psychiatry · 2026Article
- Mapping fatigue: discovering brain regions and genes linked to fatigue susceptibility.Journal of translational medicine · 2025Article
- Extracellular Vesicles in Mental Disorders: A State-of-art Review.International journal of biological sciences · 2023Review
- Current Knowledge of the Antidepressant Activity of Chemical Compounds fromPharmaceuticals (Basel, Switzerland) · 2022Review
- Per1 gene polymorphisms influence the relationship between brain white matter microstructure and depression risk.Frontiers in psychiatry · 2022Article
- Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.Brain sciences · 2021Review
- Brain-derived neurotrophic factor (BDNF) is associated with depressive symptoms in older adults with HIV disease.Journal of neurovirology · 2021Article
- Roles of 5,10-Methylenetetrahydrofolate Reductase C677T Polymorphisms in First-Episode, Drug-Naive Adult Patients With Depression.Frontiers in psychiatry · 2020Article
- Extracellular Vesicles in Psychiatry Research in the Context of RDoC Criteria.Psychiatry investigation · 2018Article
- Imaging connectomics in depression.CNS neuroscience & therapeutics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic-neuroimaging studies could identify new potential endophenotypes of major depressive disorder (MDD). Morphological and functional alterations may be attributable to genetic factors that regulate neurogenesis and neurodegeneration. Given that the association between gene polymorphisms and brain morphology or function has varied across studies, this systematic review aims at evaluating and summarizing all available genetic-neuroimaging studies. Twenty-eight gene variants were evaluated in 64 studies by structural or functional magnetic resonance imaging. Significant genetic-neuroimaging associations were found in monoaminergic genes, BDNF genes, glutamatergic genes, HPA axis genes, and the other common genes, which were consistent with common hypotheses of the pathogenesis of MDD.
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What OpenQuestion holds
Registered trials
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.