ArticleNeural plasticity2021
Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG).
Article in Neural plasticity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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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
10 citing papers in PubMed.
- Chiropractic Care Is Associated with Frequency-Specific Reorganisation of Triple-Network Brain Dynamics: A Source-Localised EEG Study.Brain sciences · 2026Article
- Pain assessment using physiological responses/markers in different types of pain: a scoping review.NPJ digital medicine · 2026Article
- Abnormal Enhanced Gamma Synchronization in the Default Mode Network Associated With Chronic Pain.European journal of neurology · 2025Article
- Analysis of Forward Trunk Bending in Women with Chronic Low Back Pain Undergoing Functional Training.Journal of clinical medicine · 2025Article
- Pain and the Brain: A Systematic Review of Methods, EEG Biomarkers, Limitations, and Future Directions.Neurology international · 2025Review
- EEG alpha/beta features as a biomarker for quantifying pain in patients with lumbar disk herniation.Frontiers in neuroscience · 2025Article
- Therapeutic efficacy of acupuncture on motor dysfunction in ischemic stroke patients with hemiplegia and its EEG characteristics: protocol for a randomized, sham-acupuncture controlled, assessor-and-statistician-blinded trial.Frontiers in neurology · 2025Article
- The Analysis of Spontaneous Electroencephalogram (EEG) in Chronic Low Back Pain Patients Compared with Healthy Subjects.Medical journal of the Islamic Republic of Iran · 2023Article
- Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.Pain research & management · 2023Review
- In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?Frontiers in neuroscience · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha oscillations. Multichannel electroencephalogram data were recorded from 27 subjects with chronic low back pain under the simple conditions of closing eyes or opening eyes. Spectral analyses were conducted to extract the alpha band responses, and the alpha powers were calculated for the two conditions, respectively. Normalized alpha power was calculated by subtracting the alpha power in the eyes-open condition from that in the eyes-closed condition. The correlation between the alpha power and the subjective pain intensity was evaluated in frontal, central, and posterior regions. The normalized alpha power in the central region was negatively correlated with the subjective pain intensity (
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