ReviewFrontiers in neuroscience2023
In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
Review in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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
17 citing papers in PubMed.
- Electroencephalography research in neuropathic pain (Review).Molecular medicine reports · 2026Review
- From the Pain Matrix to Functional Networks: A Narrative Review of Chronic Pain Mechanisms Across Adult and Pediatric Populations with Emerging AI Perspectives.Brain sciences · 2026Review
- Review
- Mapping the Digital Mind: A Meta-Analysis of EEG Biomarkers in Cognition, Emotion, and Mental Health.Brain sciences · 2026Review
- Efficient Blended Models for Analysis and Detection of Neuropathic Pain from EEG Signals Using Machine Learning.Bioengineering (Basel, Switzerland) · 2026Article
- Electrical Evoked Potentials After Perioperative Pain Neuroscience Education or Back School Education: A Subgroup Analysis of a Randomized Controlled Trial.Journal of clinical medicine · 2026Article
- Tongue Characteristics and Musculoskeletal Pain in Patients with Type 2 Diabetes Mellitus: A Principal Component and Latent Profile Analysis.Journal of pain research · 2026Article
- The Effect of Physical Exercise on Non-Oncological Musculoskeletal Chronic Pain and Its Associated Biomarkers: Systematic Review on Randomized Controlled Trials.Life (Basel, Switzerland) · 2025Review
- The Application of Artificial Intelligence to Enhance Spinal Cord Stimulation Efficacy for Chronic Pain Management: Current Evidence and Future Directions.Current pain and headache reports · 2025Review
- Current source density and functional connectivity extracted from resting-state electroencephalography as biomarkers for chronic low back pain.Pain reports · 2025Article
- Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury.Biomedicines · 2025Article
- Disruptions in cortical circuit connectivity distinguish widespread hyperalgesia from localized pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Classification of chronic pain and spinal cord stimulation response using machine learning in magnetoencephalography data.PloS one · 2025Article
- The intrinsic reason why complementary tests (clinical neurophysiology, neuroimaging, skin biopsy) cannot establish the diagnosis of neuropathic pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- NOP agonist AT-403 promoted sleep in lactic acid-induced acute pain model.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Clinical pain management: Current practice and recent innovations in research.Cell reports. Medicine · 2024Review
- Changes in alpha, theta, and gamma oscillations in distinct cortical areas are associated with altered acute pain responses in chronic low back pain patients.Frontiers in neuroscience · 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.
Funding
Abstract
Machine learning is becoming an increasingly common component of routine data analyses in clinical research. The past decade in pain research has witnessed great advances in human neuroimaging and machine learning. With each finding, the pain research community takes one step closer to uncovering fundamental mechanisms underlying chronic pain and at the same time proposing neurophysiological biomarkers. However, it remains challenging to fully understand chronic pain due to its multidimensional representations within the brain. By utilizing cost-effective and non-invasive imaging techniques such as electroencephalography (EEG) and analyzing the resulting data with advanced analytic methods, we have the opportunity to better understand and identify specific neural mechanisms associated with the processing and perception of chronic pain. This narrative literature review summarizes studies from the last decade describing the utility of EEG as a potential biomarker for chronic pain by synergizing clinical and computational perspectives.
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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.