Trial reportTranslational psychiatry2024
Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression.
Trial report in Translational psychiatry, 2024. 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.
- Neural systems underlying autobiographical memory dysregulations in depression: A neuroimaging meta-analysis.Psychological medicine · 2025Pooled it
- Functional Connectivity Predicting Transdiagnostic Treatment Outcomes in Internalizing Psychopathologies.JAMA network open · 2025Trial
- Targeting the dopaminergic midbrain with precision 7-Tesla biofeedback training in depression: A proof-of-principle randomized controlled trial.Molecular psychiatry · 2026Article
- School Bullying Victimization and Depressive Symptoms Among College Students: The Role of Rumination and Different Social Support.The Psychiatric quarterly · 2026Article
- Effects of Transcutaneous Vagus Nerve Stimulation, Neurofeedback, and their Combination on Cortisol, Anxiety, and Depression Subtypes in Non-Clinical Adults.Applied psychophysiology and biofeedback · 2026Article
- Advances in the Application of Brain-Computer Interface-Based Neurofeedback Training in the Rehabilitation of Patients with Major Depressive Disorder.Neuropsychiatric disease and treatment · 2026Review
- Revitalizing EEG Neurofeedback Using Precision-Based Approaches.The American journal of psychiatry · 2025Article
- Effectiveness of fMRI-based Neurofeedback Therapy on Depression: A Systematic Review.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025Review
- Functional brain network dynamics of brooding in depression: Insights from real-time fMRI neurofeedback.Journal of affective disorders · 2025Article
- Real-time fMRI neurofeedback boosts heartbeat perception by modulating insula activation pattern during interoceptive attention.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Biological links between psychological factors and adolescent depression: childhood trauma, rumination, and resilience.BMC psychiatry · 2024Article
- Amygdala self-neuromodulation capacity as a window for process-related network recruitment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Real-time fMRI neurofeedback (rtfMRI-NF) has emerged as a promising intervention for psychiatric disorders, yet its clinical efficacy remains underexplored due to an incomplete mechanistic understanding. This study aimed to delineate the whole-brain mechanisms underpinning the effects of rtfMRI-NF on repetitive negative thinking in depression. In a double-blind randomized controlled trial, forty-three depressed individuals underwent NF training targeting the functional connectivity (FC) between the posterior cingulate cortex and the right temporoparietal junction, linked to rumination severity. Participants were randomly assigned to active or sham groups, with the sham group receiving synthesized feedback mimicking real NF signal patterns. The active group demonstrated a significant reduction in brooding rumination scores (d = -1.52, p < 0.001), whereas the sham group did not (d = -0.23, p = 0.503). While the target FC did not show discernible training effects or group differences, connectome-based predictive modeling (CPM) analysis revealed that the interaction between brain activity during regulation and brain response to the feedback signal was the critical factor in explaining treatment outcomes. The model incorporating this interaction successfully predicted rumination changes across both groups. The FCs significantly contributing to the prediction were distributed across brain regions, notably the frontal control, salience network, and subcortical reward processing areas. These results underscore the importance of considering the interplay between brain regulation activities and brain response to the feedback signal in understanding the therapeutic mechanisms of rtfMRI-NF. The study affirms rtfMRI-NF's potential as a therapeutic intervention for repetitive negative thinking and highlights the need for a nuanced understanding of the whole-brain mechanisms contributing to its efficacy.
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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.