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Brain Network Characteristics of Pain Patients Based on Magnetoencephalography

Brain Network Characteristics of Pain Patients Based on Magnetoencephalography

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07809542
Enrollment
1200
Registered
2026-09-09
Start date
2026-05-26
Completion date
2028-12-31
Last updated
2026-09-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Muscle Pain

Brief 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.

Interventions

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.

Sponsors

Qilu Hospital of Shandong University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes

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 informed consent form

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. Contraindications 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.

Design outcomes

Primary

MeasureTime frameDescription
Visual Analogue Scalebaseline, pre-interventionUses 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

Secondary

MeasureTime frameDescription
American Orthopaedic Foot & Ankle Society (AOFAS)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 functionbaseline, pre-intervention
SF-36 Health Surveybaseline, pre-interventionConsists 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
nternational Knee Documentation Committee Subjective Knee Formbaseline, pre-interventionCovers 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
Magnetoencephalographybaseline, pre-interventionUses 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
Disabilities of the Arm, Shoulder and Hand Scalebaseline, pre-interventionConsists 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
Hamilton Anxiety Scalebaseline, pre-interventionConsists 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
Electroencephalographybaseline, pre-interventionUses scalp electrodes to record brain electrical activity and assess brain function
Hamilton Depression Scalebaseline, pre-interventionConsists 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
Western Ontario and McMaster Universities Osteoarthritis Indexbaseline, pre-interventionConsists 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
McGill Pain Questionnairebaseline, pre-interventionIncludes 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
Oswestry Disability Index (ODI)baseline, pre-interventionConsists 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
Pittsburgh Sleep Quality Index (PSQI)baseline, pre-interventionConsists 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
Shoulder Pain and Disability Index (SPADI)baseline, pre-interventionConsists 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
Neck Disability Index (NDI)baseline, pre-interventionConsists 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
Central Sensitization Inventory (CSI)baseline, pre-interventionPart 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
Brain MRIbaseline, pre-interventionUses MRI to evaluate brain structure, used for coregistration with MEG source localization

Countries

China

Contacts

CONTACTXiaofei Zhang
xfeizhang2025@163.com86-15563139097

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 10, 2026