ArticleJournal of psychopharmacology (Oxford, England)2023
Hippocampal and parahippocampal volume and function predict antidepressant response in patients with major depression: A multimodal neuroimaging study.
Article in Journal of psychopharmacology (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- The ventral/anterior hippocampus as a central hub for stress-related dopaminergic circuit dysfunction in psychiatric disorders.Molecular psychiatry · 2026Review
- The role of the subcortical structures in subthreshold depression: evidence from static and dynamic functional connectivity.Brain structure & function · 2026Article
- Support vector machine-driven Parkinson's disease identification: a 7-Tesla multidimensional structural MRI approach.NPJ Parkinson's disease · 2026Article
- Suicide attempt history, childhood trauma, and functional brain network alterations in major depressive disorder: a resting-state functional connectivity-based multivariate pattern analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- A Study on dynamic functional connectivity and efficacy prediction of SAINT for rapid antidepressant effects and relief of suicidal ideation.Translational psychiatry · 2025Article
- Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group.Molecular psychiatry · 2025Article
- 7-Tesla ultra-high field MRI of the parahippocampal cortex reveals evidence of common neurobiological mechanisms of major depressive disorder and neurotic personality traits.Translational psychiatry · 2025Article
- Brain morphological changes in type 2 diabetes patients with painful peripheral neuropathy.Metabolic brain disease · 2025Article
- Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features.BMC psychiatry · 2025Article
- The Causal Relationship Between Asthma and Hippocampal Volume: A Study Based on Bidirectional Mendelian Randomization Analysis.Brain and behavior · 2025Article
- Abnormal choroid plexus, hippocampus, and lateral ventricles volumes as markers of treatment-resistant major depressive disorder.Psychiatry and clinical neurosciences · 2025Article
- Kynurenine Metabolism is Associated with Antidepressant Response to Selective Serotonin Reuptake Inhibitors.bioRxiv : the preprint server for biology · 2025Article
- Gray matter volume microstructural alterations in chronic post-burn pruritus: a voxel-based morphometry analysis using 3D T1-weighted imaging.Frontiers in neuroscience · 2025Article
- Resting-state fMRI graph theory analysis for predicting selective serotonin reuptake inhibitors treatment response in adolescent major depressive disorder.Frontiers in psychiatry · 2025Article
- Higher Seasonal Variation of Systemic Inflammation in Bipolar Disorder.International journal of molecular sciences · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor many patients with major depressive disorder (MDD) adequate treatment remains elusive. Neuroimaging techniques received attention for their potential use in guiding and predicting response, but were rarely investigated in real-world psychiatric settings.
aimsTo identify structural and functional Magnetic Resonance Imaging (MRI) biomarkers associated with antidepressant response in a real-world clinical sample.
methodsWe studied 100 MDD inpatients admitted to our psychiatric ward, treated with various antidepressants upon clinical need. Hamilton Depression Rating Scale percentage decrease from admission to discharge was used as a measure of response. All patients underwent 3.0 T MRI scanning. Grey matter (GM) volumes were investigated both in a voxel-based morphometry (VBM), and in a regions of interest (ROI) analysis. In a subsample of patients, functional resting-state connectivity patterns were also explored.
resultsIn the VBM analysis, worse response was associated to lower GM volumes in two clusters, encompassing the left hippocampus and parahippocampal gyrus, and the right superior and middle temporal gyrus. Investigating ROIs, lower bilateral hippocampi and amygdalae volumes predicted worse treatment outcomes. Functional connectivity in the right temporal and parahippocampal gyrus was also associated to response.
conclusionOur results expand existing literature on the relationship between the structure and function of several brain regions and treatment response in MDD. While we are still far from routine use of MRI biomarkers in clinical practice, we confirm a possible role of these techniques in guiding treatment choices and predicting their efficacy.
Indexed as
Identifiers
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.