ReviewPain reports
Neuroimaging-based biomarkers for pain: state of the field and current directions.
Review in Pain reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06030297 (Diode Laser as a Biomarker for Neuropathic Pain of Peripheral Origin.), which is not on this map. Cited by 72 papers.
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.
Diode Laser as a Biomarker for Neuropathic Pain of Peripheral Origin.
Who cites it
72 citing papers in PubMed.
- Better Fields or Currents? A Head-to-Head Comparison of Transcranial Magnetic (rTMS) Versus Direct Current Stimulation (tDCS) for Neuropathic Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Trial
- Prediction of Differential Pharmacologic Response in Chronic Pain Using Functional Neuroimaging Biomarkers and a Support Vector Machine Algorithm: An Exploratory Study.Arthritis & rheumatology (Hoboken, N.J.) · 2021Trial
- Task-evoked network connectivity and pain regulation success in chronic low back pain.Neuroimage. Reports · 2026Article
- Brain activity alterations following lumbar discectomy in people with chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Brain dysconnectivity patterns associated with chronic back pain development.Brain informatics · 2026Article
- Predicting Pain: Electroencephalography Signatures of Neural Integration During Experimental Tonic Thermal Pain.European journal of pain (London, England) · 2026Article
- MRI-Based Brain Signatures of Chemotherapy-Induced Peripheral Neuropathy in Cancer Patients: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2026Review
- Behavioral assessment of pain in rodents: advances from evoked responses to spontaneous states and multimodal approaches.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Major depressive disorder in fibromyalgia: novel insights from resting-state functional connectivity analysis.The Korean journal of pain · 2025Article
- Biological markers and psychosocial factors predict chronic pain conditions.Nature human behaviour · 2025Article
- Sex-specific genetics underlie increased chronic pain risk in women: genome-wide association studies from the UK Biobank.British journal of anaesthesia · 2025Article
- Chronic pain is associated with greater brain entropy in the prefrontal cortex.The journal of pain · 2025Article
- Objective Measurement of Musculoskeletal Pain: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2025Review
- The Role of Biomarkers in Acute Pain: A Narrative Review.Pain and therapy · 2025Review
- Thalamic Microstructural Alterations as Revealed by the T1/T2 Ratio in Chronic Pain Patients.Journal of clinical medicine · 2025Article
- Neuroplasticity in chronic pain: insights into diagnosis and treatment.The Korean journal of pain · 2025Article
- Article
- Neural correlates of pain acceptance and the role of the cerebellum: Functional connectivity and anatomical differences in individuals with headaches versus matched controls.European journal of pain (London, England) · 2025Article
- Review
- Decoding pain: uncovering the factors that affect the performance of neuroimaging-based pain models.Pain · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Chronic pain is an endemic problem involving both peripheral and brain pathophysiology. Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have remained controversial and relatively underdeveloped. With the realization that biomarkers can reveal pain-causing mechanisms of disease in brain circuits and in the periphery, this situation is poised to change. In particular, brain pathophysiology may be diagnosable with human brain imaging, particularly when imaging is combined with machine learning techniques designed to identify predictive measures embedded in complex data sets. In this review, we explicate the need for brain-based biomarkers for pain, some of their potential uses, and some of the most popular machine learning approaches that have been brought to bear. Then, we evaluate the current state of pain biomarkers developed with several commonly used methods, including structural magnetic resonance imaging, functional magnetic resonance imaging and electroencephalography. The field is in the early stages of biomarker development, but these complementary methodologies have already produced some encouraging predictive models that must be tested more extensively across laboratories and clinical populations.
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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.