ReviewJournal of neuroimaging : official journal of the American Society of Neuroimaging2022
Functional MRI in major depressive disorder: A review of findings, limitations, and future prospects.
Review in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Integrating Neuroimaging and Machine Learning to Predict Mental Disorder Outcomes: A Systematic Review.Advances in experimental medicine and biology · 2026Pooled it
- Psychobiological Stress Regulation in Depressive Women Achieved Through Group Music Therapy: Results From the Randomised-Controlled Music Therapy for Depression Study.Stress and health : journal of the International Society for the Investigation of Stress · 2025Trial
- Classifying schizophrenia patients and healthy individuals: Whole brain SPECT functional connectivity using support vector machine classification.Neuroimage. Reports · 2026Article
- Computational modeling of prefrontal-amygdala circuits links functional connectivity alterations to circuit-level mechanisms in major depression.Journal of computational neuroscience · 2026Article
- Network Colocalization Correlates of Depression and Anxiety in Pediatric Focal Cortical Dysplasia-Related Epilepsy.Annals of neurology · 2026Article
- Depression as a Disease of White Matter Network Disruption: Learning From Multiple Sclerosis.Biological psychiatry · 2026Review
- Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations.Nature communications · 2026Article
- From EEG signals to quantitative assessment: predicting depression severity using a novel deep learning framework.Scientific reports · 2026Article
- Neural Responses to Affective Sentences Reveal Signatures of Depression.Translational psychiatry · 2026Article
- Time-resolved EEG decoding reveals altered neural dynamics of affective semantic evaluation in depression and suicidality.Communications biology · 2026Article
- Identifying diagnostic biomarkers in functional motor disorders through multimodal behavioral, neurophysiological, and imaging assessment using explainable machine learning.Journal of neurology · 2026Observational
- Ecologically-Valid Emotion Signatures Enhance Mood Disorder Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Toward Multi-Dimensional Depression Assessment: EEG-Based Machine Learning and Neurophysiological Interpretation for Diagnosis, Severity, and Cognitive Decline.Brain sciences · 2026Article
- Novel TMS-derived metrics enable machine learning classification of major depressive disorder.NPP - digital psychiatry and neuroscience · 2026Article
- The potential of neuromelanin-sensitive MRI in psychiatric disorders.Neuroscience applied · 2026Review
- A Study on dynamic functional connectivity and efficacy prediction of SAINT for rapid antidepressant effects and relief of suicidal ideation.Translational psychiatry · 2025Article
- Relationships between local metabolic activity and distributed functional connectivity in major depressive disorder.Translational psychiatry · 2025Article
- Electroencephalogram Gamma Band Power Correlates with Anhedonia in a Community Sample.Journal of personalized medicine · 2025Article
- Shared neurobiological changes in individuals with Crohn's disease and major depressive disorder.Communications medicine · 2025Article
- Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression.Molecular psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective diagnosis and prognosis in major depressive disorder (MDD) remains a challenge due to the absence of biomarkers based on physiological parameters or medical tests. Numerous studies have been conducted to identify functional magnetic resonance imaging-based biomarkers of depression that either objectively differentiate patients with depression from healthy subjects, predict personalized treatment outcome, or characterize biological subtypes of depression. While there are some findings of consistent functional biomarkers, there is still lack of robust data acquisition and analysis methodology. According to current findings, primarily, the anterior cingulate cortex, prefrontal cortex, and default mode network play a crucial role in MDD. Yet, there are also less consistent results and the involvement of other regions or networks remains ambiguous. We further discuss image acquisition, processing, and analysis limitations that might underlie these inconsistencies. Finally, the current review aims to address and discuss possible remedies and future opportunities that could improve the search for consistent functional imaging biomarkers of depression. Novel acquisition techniques, such as multiband and multiecho imaging, and neural network-based cleaning approaches can enhance the signal quality in limbic and frontal regions. More comprehensive analyses, such as directed or dynamic functional features or the identification of biological depression subtypes, can improve objective diagnosis or treatment outcome prediction and mitigate the heterogeneity of MDD. Overall, these improvements in functional MRI imaging techniques, processing, and analysis could advance the search for biomarkers and ultimately aid patients with MDD and their treatment course.
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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 Socratic graph.