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RecruitingNCT07809542Updated Sep 9, 2026

Brain Network Characteristics of Pain Patients Based on Magnetoencephalography

An observational study in Muscle Pain, sponsored by Qilu Hospital of Shandong University. Recruiting at 1 site in China. Open to participants aged 18 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-09.

Sponsored by Qilu Hospital of Shandong University · Observational

From the registry’s dates

  • Started May 2026; still recruiting 5 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,200
Ages
18 Years to 70 Years
Sex
All
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Study summary

This is a single-center prospective cohort study. We plan to enroll at least 1,000 patients with muscle pain (VAS ≥ 3) and 200 healthy controls. The study aims to investigate neural oscillatory and functional connectivity characteristics in muscle pain patients using magnetoencephalography (MEG), and to analyze their associations with clinical phenotypes including pain intensity, emotional status, sleep quality, disease duration, and sex. Furthermore, we aim to develop a prognostic model for pain outcome. All pain patients will undergo baseline assessments including MEG (with working-memory task, resting-state, and stimulus-evoked paradigms), brain MRI, and a series of clinical scales (VAS, MPQ, HAMA, HAMD, PSQI, ODI, NDI, SPADI, IKDC, WOMAC, DASH, etc.). They will then be followed up at 1, 3, and 6 months, with repeated collection of pain and functional outcome measures. Multivariate regression, mixed-effects models, and penalized regression will be employed to build prediction models. Model performance will be evaluated using AUC, calibration curves, and bootstrap internal validation. We aim to identify candidate objective neural biomarkers to provide a scientific basis for objective pain assessment and stratified management.

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Conditions studied

  • Muscle Pain

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03

In context

Myalgia

256 studies on the registry are indexed under Myalgia; 46 are open to participants now.

This study's planned enrollment of 1,200 is above the median of 196 across 35 observational studies indexed under Myalgia.

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Lead sponsor

Qilu Hospital of Shandong University is the lead sponsor of 310 studies on the registry; 188 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Pain patients constitute the core longitudinal follow-up cohort of this study. Their role is to provide baseline MEG brain network features and clinical data for model training, and to supply longitudinal outcome data through follow-up visits, which will be used to establish a prognostic model for pain outcomes and to screen for candidate objective neural biomarkers.

Healthy controls serve as a baseline reference group and do not participate in longitudinal follow-up. Their role is to establish normative reference features of brain networks in healthy individuals, providing a normal benchmark for assessing the degree of abnormality in pain patients.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Meet the diagnostic criteria for muscle pain as specified in the Clinical Diagnosis Guidelines: Volume of Physical Medicine and Rehabilitation
  2. VAS score ≥ 3 points.
  3. Aged 18-70 years.
  4. Lesions located in the soft tissues of the neck, shoulder, or lumbodorsal region, accompanied by tender points.
  5. Able to understand and cooperate in completing the scales and undergoing MEG and MRI examinations.
  6. Has signed the form

Exclusion criteria

Exclusion Criteria:

  1. History of previous related disorders in the neck, shoulder, or lumbodorsal region.
  2. Recent use of medications that significantly affect central excitability and inability to stabilize the condition.
  3. to MEG or MRI.
  4. Presence of ferromagnetic metals implanted in the body (e.g., metal dentures, aneurysm clips, pacemakers, stents, steel plates, etc.), claustrophobia that prevents MEG examination, or failed data acquisition.
  5. Concurrent severe diseases of the heart, brain, kidney, or other major organs.
  6. History of muscle diseases such as tuberculosis, rheumatism, or infection.
  7. Obvious cognitive impairment or communication difficulties that prevent cooperation with this study.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Pain group

    This is a prospective cohort that continuously enrolls pain patients aged 18-70 years who meet the diagnostic criteria for muscle pain, have a VAS score ≥3, and present with lesions in the soft tissues of the neck, shoulders, or low back accompanied by tender points. Patients with a history of previous cervical, shoulder, or lumbar disorders, those taking medications that significantly affect central nervous system excitability with unstable disease control, those with contraindications to MEG/MRI, those with severe systemic diseases, and those with cognitive or communication impairments are excluded. After undergoing baseline MEG, MRI, and multi-dimensional scale assessments, participants receive routine clinical treatment according to standard care pathways (the study does not impose any additional intervention), and are followed up regularly via telephone or electronic means. Treatment exposure and outcome changes are dynamically documented throughout follow-up, and the collected d

    Device: Magnetoencephalography

  • Healthy Control Group

    This group serves as a baseline reference cohort, comprising healthy volunteers aged 18-70 years without metallic implants in the head or neck region. After signing informed consent, participants complete a single baseline assessment consisting of MEG, MRI, and health questionnaire evaluations. No intervention is administered, and participants are not included in the longitudinal follow-up. Data from this group are used to establish reference characteristics of brain networks in healthy individuals, providing a baseline comparative standard for assessing the degree of brain network abnormalities in the pain group.

    Device: Magnetoencephalography

Interventions

  • DeviceMagnetoencephalography

    MEG is a technique that passively detects weak magnetic field signals generated by intracellular currents in the brain, using superconducting or atomic magnetometers within a magnetically shielded room. By co-registering the MEG signals with MRI for source localization, and performing power spectral analysis across different frequency bands, it enables non-invasive, high temporal-resolution assessment of brain function.

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What researchers measure

Primary outcomes

  1. Visual Analogue Scale

    Uses a 0-10 cm linear scale, with 0 representing no pain and 10 representing the worst imaginable pain; participants mark their current pain level based on subjective feeling

    Time frame: baseline, pre-intervention

Secondary outcomes

  1. Pittsburgh Sleep Quality Index (PSQI)

    Consists of 19 self-rated items assessing 7 components (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction); total score 0-21; higher scores indicate poorer sleep quality

    Time frame: baseline, pre-intervention

  2. Shoulder Pain and Disability Index (SPADI)

    Consists of two subscales: pain (5 items, 0-10 each, total 0-50) and disability (8 items, 0-10 each, total 0-80), with a total score of 0-130 expressed as a percentage (total/130 × 100%); higher percentages indicate more severe shoulder pain and disability

    Time frame: baseline, pre-intervention

  3. Neck Disability Index (NDI)

    Consists of 10 items, each scored 0-5, with a total score of 0-50; the score is expressed as a percentage (total/50 × 100%), with higher percentages indicating more severe disability due to neck pain

    Time frame: baseline, pre-intervention

  4. Brain MRI

    Uses MRI to evaluate brain structure, used for coregistration with MEG source localization

    Time frame: baseline, pre-intervention

  5. Oswestry Disability Index (ODI)

    Consists of 10 items, each scored 0-5, with a total score of 0-50; the score is expressed as a percentage (total/50 × 100%), with higher percentages indicating more severe disability due to low back pain

    Time frame: baseline, pre-intervention

  6. Central Sensitization Inventory (CSI)

    Part A consists of 25 items, each scored 0-4, with a total score of 0-100; higher scores indicate more severe central sensitization. Part B records previously diagnosed related syndromes

    Time frame: baseline, pre-intervention

  7. American Orthopaedic Foot & Ankle Society (AOFAS)

    baseline, pre-intervention

    Time frame: Consists of 3 subscales: pain (40 points), function (50 points), and alignment (10 points), with a total score of 0-100; higher scores indicate better ankle-hindfoot function

  8. SF-36 Health Survey

    Consists of 8 dimensions (physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, mental health), with each dimension score transformed to a 0-100 scale; higher scores indicate better health status

    Time frame: baseline, pre-intervention

  9. nternational Knee Documentation Committee Subjective Knee Form

    Covers multiple aspects including knee symptoms, functional activities, and sports ability; total score 0-100, with higher scores indicating better knee function; 90-100 represents normal knee function

    Time frame: baseline, pre-intervention

  10. Magnetoencephalography

    Uses atomic spin magnetometers in a magnetically shielded room to record spontaneous and task-evoked magnetic signals from the brain, and analyzes neural oscillatory power spectra and functional connectivity as brain network features

    Time frame: baseline, pre-intervention

  11. Disabilities of the Arm, Shoulder and Hand Scale

    Consists of 30 items, each scored 1-5; the total score is calculated using the formula: (total/30 - 1) × 25, yielding a score range of 0-100; higher scores indicate more severe upper limb disability

    Time frame: baseline, pre-intervention

  12. Hamilton Anxiety Scale

    Consists of 14 items, each scored 0-4, with a total score of 0-56; higher scores indicate more severe anxiety symptoms; 0-17: mild, 18-24: moderate, ≥25: severe

    Time frame: baseline, pre-intervention

  13. Electroencephalography

    Uses scalp electrodes to record brain electrical activity and assess brain function

    Time frame: baseline, pre-intervention

  14. Hamilton Depression Scale

    Consists of 17 items, each scored 0-4, with a total score of 0-52; higher scores indicate more severe depressive symptoms; 0-7: normal/very mild, 8-13: mild, 14-18: moderate, ≥19: severe

    Time frame: baseline, pre-intervention

  15. Western Ontario and McMaster Universities Osteoarthritis Index

    Consists of 3 subscales: pain (5 items, 0-20), stiffness (2 items, 0-8), and physical function (17 items, 0-68), with a total score of 0-96; higher scores indicate more severe osteoarthritis symptoms

    Time frame: baseline, pre-intervention

  16. McGill Pain Questionnaire

    Includes pain quality score (20 adjectives, 0-3 each, total 0-78) and pain intensity score (0-5), with a total score of 0-83; higher scores indicate more severe pain

    Time frame: baseline, pre-intervention

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Study locations

1 of 1 sites recruiting
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References and documents

Publications

  • Baillet S. Magnetoencephalography for brain electrophysiology and imaging. Nat Neurosci. 2017 Feb 23;20(3):327-339. doi: 10.1038/nn.4504. PubMed 28230841 ↗
  • Frokjaer JB, Olesen SS, Graversen C, Andresen T, Lelic D, Drewes AM. Neuroimaging of the human visceral pain system-A methodological review. Scand J Pain. 2018 Jul 1;2(3):95-104. doi: 10.1016/j.sjpain.2011.02.006. PubMed 29913746 ↗
  • Cavicchioli M, Scalabrini A, Nimbi F, Torelli A, Bottiroli S, Pichiecchio A, Prodi E, Trentini C, Sarzi-Puttini P, Galli F. Fibromyalgia and the painful self: A meta-analysis of resting-state fMRI data. J Psychiatr Res. 2025 Mar;183:61-71. doi: 10.1016/j.jpsychires.2025.01.048. Epub 2025 Jan 30. PubMed 39938202 ↗
  • Witjes B, Starmans MPA, Huygen FJPM, de Vos CC. Classification of chronic pain and spinal cord stimulation response using machine learning in magnetoencephalography data. PLoS One. 2025 Dec 5;20(12):e0337726. doi: 10.1371/journal.pone.0337726. eCollection 2025. PubMed 41348694 ↗
  • Kim D, Chae Y, Park HJ, Lee IS. Effects of Chronic Pain Treatment on Altered Functional and Metabolic Activities in the Brain: A Systematic Review and Meta-Analysis of Functional Neuroimaging Studies. Front Neurosci. 2021 Jul 5;15:684926. doi: 10.3389/fnins.2021.684926. eCollection 2021. PubMed 34290582 ↗
  • Phelps CE, Navratilova E, Porreca F. Cognition in the Chronic Pain Experience: Preclinical Insights. Trends Cogn Sci. 2021 May;25(5):365-376. doi: 10.1016/j.tics.2021.01.001. Epub 2021 Jan 25. PubMed 33509733 ↗
  • SABERI M, VENTRESCA M, ZAMYADI R, et al. Neural synchrony in the pain connectome predicts chronic pain severity and interactions with mental health outcomes: A transdiagnostic study using magnetoencephalography and multivariate modeling [J]. medRxiv, 2024: 2024.11.15.24317356.
  • Yoshino A, Maekawa T, Kato M, Chan HL, Otsuru N, Yamawaki S. Changes in Resting-State Brain Activity After Cognitive Behavioral Therapy for Chronic Pain: A Magnetoencephalography Study. J Pain. 2024 Aug;25(8):104523. doi: 10.1016/j.jpain.2024.104523. Epub 2024 Apr 4. PubMed 38582288 ↗
  • Choe MK, Lim M, Kim JS, Lee DS, Chung CK. Disrupted Resting State Network of Fibromyalgia in Theta frequency. Sci Rep. 2018 Feb 1;8(1):2064. doi: 10.1038/s41598-017-18999-z. PubMed 29391478 ↗
  • Khera T, Rangasamy V. Cognition and Pain: A Review. Front Psychol. 2021 May 21;12:673962. doi: 10.3389/fpsyg.2021.673962. eCollection 2021. PubMed 34093370 ↗
  • Gopalakrishnan R, Burgess RC, Plow EB, Floden DP, Machado AG. A magnetoencephalography study of multi-modal processing of pain anticipation in primary sensory cortices. Neuroscience. 2015 Sep 24;304:176-89. doi: 10.1016/j.neuroscience.2015.07.049. Epub 2015 Jul 23. PubMed 26210576 ↗
  • Chertic D, Dabala V, Livint-Popa L, Balea M, Draghici NC, Strilciuc S, Chereches R, Vacaras V, Muresanu DF. EEG Spectral Analysis in Chronic Pain During Rest and Cognitive Reasoning. Sensors (Basel). 2025 Oct 8;25(19):6230. doi: 10.3390/s25196230. PubMed 41095052 ↗
  • Cohen D. Magnetoencephalography: evidence of magnetic fields produced by alpha-rhythm currents. Science. 1968 Aug 23;161(3843):784-6. doi: 10.1126/science.161.3843.784. PubMed 5663803 ↗
  • Apkarian AV, Bushnell MC, Treede RD, Zubieta JK. Human brain mechanisms of pain perception and regulation in health and disease. Eur J Pain. 2005 Aug;9(4):463-84. doi: 10.1016/j.ejpain.2004.11.001. Epub 2005 Jan 21. PubMed 15979027 ↗
  • Bott FS, Zebhauser PT, Hohn VD, Turgut O, May ES, Tiemann L, Gil Avila C, Heitmann H, Nickel MM, Day MA, Adhia DB, Ashar YK, Wager TD, Granovsky Y, Yarnitsky D, Jensen MP, Gross J, Ploner M. Exploring electroencephalographic chronic pain biomarkers: a mega-analysis. EBioMedicine. 2025 Oct;120:105955. doi: 10.1016/j.ebiom.2025.105955. Epub 2025 Sep 30. PubMed 41033105 ↗
  • Treede RD, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Kosek E, Lavand'homme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JWS, Wang SJ. A classification of chronic pain for ICD-11. Pain. 2015 Jun;156(6):1003-1007. doi: 10.1097/j.pain.0000000000000160. No abstract available. PubMed 25844555 ↗
  • Davis KD, Flor H, Greely HT, Iannetti GD, Mackey S, Ploner M, Pustilnik A, Tracey I, Treede RD, Wager TD. Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations. Nat Rev Neurol. 2017 Oct;13(10):624-638. doi: 10.1038/nrneurol.2017.122. Epub 2017 Sep 8. PubMed 28884750 ↗
  • Butry L, Thoma J, Elsenbruch S, Icenhour A, Rehmann R, Enax-Krumova E, Schlaffke L. Brain network properties in chronic pain-a systematic review and meta-analysis of graph-based connectivity metrics. Front Neurosci. 2025 Nov 18;19:1672542. doi: 10.3389/fnins.2025.1672542. eCollection 2025. PubMed 41341260 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 9, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07809542
Responsible party
Sponsor
First posted
Sep 9, 2026
Start date
May 26, 2026
Primary completion
Dec 31, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Sep 9, 2026

Study contacts

Xiaofei Zhang
Contact
xfeizhang2025@163.com
86-15563139097

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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