ReviewFrontiers in molecular neuroscience2022
Non-invasive brain neuromodulation techniques for chronic low back pain.
Review in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Efficacy and safety of non-invasive brain stimulation for chronic low back pain: a systematic review and meta-analysis of randomised controlled trials.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Brain stimulation targets for chronic pain: Insights from meta-analysis, functional connectivity and literature review.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Pooled it
- Cerebral blood flow alterations and machine learning classification in chronic low back pain using multi-PLD ASL radiomics.Scientific reports · 2026Article
- The Impact of Chronic Pain on Cognitive Function.Brain sciences · 2025Review
- Modulating Gamma Oscillations in the Anterior Cingulate Cortex with Intermittent Theta Burst Stimulation: Implications for Chronic Non-Specific Low Back Pain.Journal of pain research · 2025Review
- Targeting Prefrontal Cortex Dysfunction in Pain.The Journal of pharmacology and experimental therapeutics · 2024Review
- Interactions and Trends of Interleukins, PAI-1, CRP, and TNF-α in Inflammatory Responses during the Perioperative Period of Joint Arthroplasty: Implications for Pain Management-A Narrative Review.Journal of personalized medicine · 2024Review
- Functional Alterations of the Basal Ganglia Are Associated with Voluntary Activation of the Core Stabilizing Muscles in Patients with Chronic Low Back Pain: A Cross-Sectional Study.Pain research & management · 2023Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural and functional changes of the brain occur in many chronic pain conditions, including chronic low back pain (CLBP), and these brain abnormalities can be reversed by effective treatment. Research on the clinical applications of non-invasive brain neuromodulation (NIBS) techniques for chronic pain is increasing. Unfortunately, little is known about the effectiveness of NIBS on CLBP, which limits its application in clinical pain management. Therefore, we summarized the effectiveness and limitations of NIBS techniques on CLBP management and described the effects and mechanisms of NIBS approaches on CLBP in this review. Overall, NIBS may be effective for the treatment of CLBP. And the analgesic mechanisms of NIBS for CLBP may involve the regulation of pain signal pathway, synaptic plasticity, neuroprotective effect, neuroinflammation modulation, and variations in cerebral blood flow and metabolism. Current NIBS studies for CLBP have limitations, such as small sample size, relative low quality of evidence, and lack of mechanistic studies. Further studies on the effect of NIBS are needed, especially randomized controlled trials with high quality and large sample size.
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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.