SynthesisHuman brain mapping2016
Computational meta-analysis of statistical parametric maps in major depression.
Synthesis in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05034523 (Voxel Based Morphometry In Patients With Psychotic Versus Non Psychotic Depression), which is not on this map. Cited by 91 papers, 11 of them syntheses 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.
Voxel Based Morphometry In Patients With Psychotic Versus Non Psychotic Depression
Who cites it
91 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Shared genetic underpinnings of gray matter volume alterations and metabolic traits in major depressive disorder.BMC psychiatry · 2026Pooled it
- A working model linking the psychopathology and pathophysiology of major depressive disorder - an umbrella review of neuroimaging studies and a conceptual framework.Molecular psychiatry · 2025Pooled it
- Evaluating the effects of tDCS on depressive and anxiety symptoms from a transdiagnostic perspective: a systematic review and meta-analysis of randomized controlled trials.Translational psychiatry · 2024Pooled it
- Structural and functional features of treatment-resistant depression: A systematic review and exploratory coordinate-based meta-analysis of neuroimaging studies.Psychiatry and clinical neurosciences · 2023Pooled it
- Hyperconnectivity between the posterior cingulate and middle frontal and temporal gyrus in depression: Based on functional connectivity meta-analyses.Brain imaging and behavior · 2022Pooled it
- Common and specific large-scale brain changes in major depressive disorder, anxiety disorders, and chronic pain: a transdiagnostic multimodal meta-analysis of structural and functional MRI studies.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Pooled it
- Risk factors and protective factors of depression in older people 65+. A systematic review.PloS one · 2021Pooled it
- Application of a diathesis-stress model to the interplay of cortical structural development and emerging depression in youth.Clinical psychology review · 2020Pooled it
- Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Pooled it
- The Link Between Structural and Functional Brain Abnormalities in Depression: A Systematic Review of Multimodal Neuroimaging Studies.Frontiers in psychiatry · 2020Pooled it
- Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis.Molecular psychiatry · 2017Pooled it
- Obesity-related differences in amygdala and hippocampal volume and metabolism before and after a placebo-controlled antidepressant trial in major depressive disorder.Scientific reports · 2026Trial
- The Psychopathology and Neuroanatomical Markers of Depression in Early Psychosis.Schizophrenia bulletin · 2021Trial
- Hippocampal volume and depression among young children.Psychiatry research. Neuroimaging · 2019Trial
- The effects of serotonin modulation on medial prefrontal connectivity strength and stability: A pharmacological fMRI study with citalopram.Progress in neuro-psychopharmacology & biological psychiatry · 2018Trial
- AiScience · 2026Article
- Neuroimaging insights from Wistar-Kyoto rats under chronic mild stress: morphological and metabolic brain correlates of treatment-resistant depression.Scientific reports · 2026Article
- Measuring transcranial magnetic stimulation-induced electric fields in anatomically and conductively accurate rat head phantoms.Journal of neural engineering · 2026Article
- Depressive disorders are associated with brain structural injury in HIV-positive men who have sex with men.BMC psychiatry · 2025Article
- Article
31 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
objectiveSeveral neuroimaging meta-analyses have summarized structural brain changes in major depression using coordinate-based methods. These methods might be biased toward brain regions where significant differences were found in the original studies. In this study, a novel voxel-based technique is implemented that estimates and meta-analyses between-group differences in grey matter from individual MRI studies, which are then applied to the study of major depression.
methodsA systematic review and meta-analysis of voxel-based morphometry studies were conducted comparing participants with major depression and healthy controls by using statistical parametric maps. Summary effect sizes were computed correcting for multiple comparisons at the voxel level. Publication bias and heterogeneity were also estimated and the excess of heterogeneity was investigated with metaregression analyses.
resultsPatients with major depression were characterized by diffuse bilateral grey matter loss in ventrolateral and ventromedial frontal systems extending into temporal gyri compared to healthy controls. Grey matter reduction was also detected in the right parahippocampal and fusiform gyri, hippocampus, and bilateral thalamus. Other areas included parietal lobes and cerebellum. There was no evidence of statistically significant publication bias or heterogeneity.
conclusionsThe novel computational meta-analytic approach used in this study identified extensive grey matter loss in key brain regions implicated in emotion generation and regulation. Results are not biased toward the findings of the original studies because they include all available imaging data, irrespective of statistically significant regions, resulting in enhanced detection of additional areas of grey matter loss.
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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.