ReviewFrontiers in neurology2023
Functional magnetic resonance imaging providing the brain effect mechanism of acupuncture and moxibustion treatment for depression.
Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Efficacy of acupuncture versus sham acupuncture on generalized anxiety disorder: a meta-analysis of randomized controlled trials.Frontiers in neurology · 2025Pooled it
- Neuroimaging studies of acupuncture for depressive disorder: a systematic review of published papers from 2014 to 2024.Frontiers in psychiatry · 2025Pooled it
- Efficacy of Acupuncture Combined With Pharmacotherapy for Depression: A Randomized Controlled Clinical Trial.Alpha psychiatry · 2026Article
- Integrative analysis of placental metabolic reprogramming and microbiome alterations in gestational diabetes mellitus (GDM).Acta diabetologica · 2026Review
- Grad-CAM based deep learning analytics for image-level colon disease classification based on graph neural networks and vision transformers.Frontiers in physiology · 2026Article
- Physiological classification of Parkinson's disease severity using multimodal speech biomarkers with a hybrid CNN-Mamba framework.Frontiers in physiology · 2026Article
- MultimodalCNN-PD: a Parkinson's disease diagnostics framework using multimodal convolutional neural network.Frontiers in aging neuroscience · 2026Article
- Acupuncture at Zusanli (ST36) for the benefits of sepsis-laboratory evidence for "preventive treatment of disease" and "holistic concept" in the protective effects of acupuncture: a literature review of rodent studies.Frontiers in neurology · 2025Review
- Efficacy of acupuncture for Parkinson's disease with mild cognitive impairment: study protocol for a randomized controlled trial.Frontiers in neurology · 2025Article
- The altered hypothalamic network functional connectivity in diminished ovarian reserve and regulation effect of acupuncture: a randomized controlled neuroimaging study protocol.Frontiers in endocrinology · 2025Article
- Acupuncture effects on emotional reactivity of youth with self-reported depressive symptoms.Psychoradiology · 2025Article
- Acupuncture for cognitive impairment in type 2 diabetes mellitus: a systematic review and Bayesian network meta-analysis protocol.Frontiers in medicine · 2025Article
- Gender differences in brain activity underlying acupuncture sensations at LR3: a task-based fMRI study.Frontiers in human neuroscience · 2025Article
- Effects of Manual Acupuncture Versus Sham Acupuncture in patients with Post-Stroke Depression: A Randomized Clinical Trial.Neurology and therapy · 2024Article
- Acupuncture may play a key role in anti-depression through various mechanisms in depression.Chinese medicine · 2024Review
- Visual analysis of research hotspots and trends of external therapies in traditional Chinese medicine for depression.Heliyon · 2024Article
- Cerebrovascular diagnosis using CTA-based intracranial aneurysm classification via transfer learning and Grad-CAM visualization.Frontiers in neurologyArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficacy of acupuncture and moxibustion in the treatment of depression has been fully recognized internationally. However, its central mechanism is still not developed into a unified standard, and it is generally believed that the central mechanism is regulation of the cortical striatum thalamic neural pathway of the limbic system. In recent years, some scholars have applied functional magnetic resonance imaging (fMRI) to study the central mechanism and the associated brain effects of acupuncture and moxibustion treatment for depression. This study reviews the acupuncture and moxibustion treatment of depression from two aspects: (1) fMRI study of the brain function related to the acupuncture treatment of depression: different acupuncture and moxibustion methods are summarized, the fMRI technique is elaborately explained, and the results of fMRI study of the effects of acupuncture are analyzed in detail, and (2) fMRI associated "brain functional network" effects of acupuncture and moxibustion on depression, including the effects on the hippocampus, the amygdala, the cingulate gyrus, the frontal lobe, the temporal lobe, and other brain regions. The study of the effects of acupuncture on brain imaging is not adequately developed and still needs further improvement and development. The brain function networks associated with the acupuncture treatment of depression have not yet been adequately developed to provide a scientific and standardized mechanism of the effects of acupuncture. For this purpose, this study analyzes in-depth the clinical studies on the treatment of anxiety and depression by acupuncture and moxibustion, by depicting how the employment of fMRI technology provides significant imaging changes in the brain regions. Therefore, the study also provides a reference for future clinical research on the treatment of anxiety and depression.
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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.