Muscle PainNCT07809542
Brain Network Characteristics of Pain Patients Based on Magnetoencephalography
An observational study of Muscle Pain, run by Qilu Hospital of Shandong University at 1 site in China.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Muscle Pain
- What is being tested?
- Magnetoencephalography
- Type of treatment
- Medical device
- How many people
- 1,200 participants
- Where
- 1 siteChina
- Study dates
- 26 May 2026to 31 Dec 2028
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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.
Who may be able to join
- Meet the diagnostic criteria for muscle pain as specified in the Clinical Diagnosis Guidelines: Volume of Physical Medicine and Rehabilitation
- VAS score ≥ 3 points.
- Aged 18-70 years.
- Lesions located in the soft tissues of the neck, shoulder, or lumbodorsal region, accompanied by tender points.
- Able to understand and cooperate in completing the scales and undergoing MEG and MRI examinations.
- Has signed the informed consent form
Who cannot join
- History of previous related disorders in the neck, shoulder, or lumbodorsal region.
- Recent use of medications that significantly affect central excitability and inability to stabilize the condition.
- Contraindications to MEG or MRI.
- 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.
- Concurrent severe diseases of the heart, brain, kidney, or other major organs.
- History of muscle diseases such as tuberculosis, rheumatism, or infection.
- Obvious cognitive impairment or communication difficulties that prevent cooperation with this study.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
Qilu hospital, Jinan, Shangdong
Jinan, Shandong, 250000
Xiangxin Xing, 86-18560086949, xingxiangxin123@163.com
About this study
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.
- Conditions
- Muscle Pain
- Being tested
- Magnetoencephalography
- Medical subject headings
- Myalgia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
MagnetoencephalographyDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| 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 Receives: 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. Receives: Device: Magnetoencephalography |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: baseline, pre-intervention
Secondary outcomes (16)
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
Brain MRI
Uses MRI to evaluate brain structure, used for coregistration with MEG source localization
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
American Orthopaedic Foot & Ankle Society (AOFAS)
baseline, pre-intervention
Measured: 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
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
Electroencephalography
Uses scalp electrodes to record brain electrical activity and assess brain function
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
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
Measured: baseline, pre-intervention
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Sep 2026
- Study start26 May 2026
- Primary completion31 Dec 2028 (estimated)
- Study completion31 Dec 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (18)Papers the sponsor has linked to this study.
- Other trials for Muscle PainStudies of the same condition, open and under way.
- More trials run by Qilu Hospital of Shandong UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 1,200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Qilu Hospital of Shandong University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07809542
- Sponsor's protocol ID
- KYLL-2026-04-089-1
- Status last verified
- Jul 2026
- First submitted
- 21 Jul 2026
- Last updated
- 9 Sep 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Baillet S. Magnetoencephalography for brain electrophysiology and imaging. Nat Neurosci. 2017 Feb 23;20(3):327-339. doi: 10.1038/nn.4504.
PubMed 28230841Frokjaer 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 29913746Cavicchioli 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 39938202Witjes 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 41348694Kim 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 34290582Phelps 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 33509733SABERI 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 38582288Choe 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 29391478Khera T, Rangasamy V. Cognition and Pain: A Review. Front Psychol. 2021 May 21;12:673962. doi: 10.3389/fpsyg.2021.673962. eCollection 2021.
PubMed 34093370Gopalakrishnan 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 26210576Chertic 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 41095052Cohen 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 5663803Apkarian 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 15979027Bott 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
Study at a glance
From the registry record, last updated by the sponsor on 9 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Brain Network Characteristics of Pain Patients Based on Magnetoencephalography
- ClinicalTrials.gov ID
- NCT07809542
- Acronym / sponsor ID
- KYLL-2026-04-089-1
- Conditions
- Muscle Pain
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 1,200 participants (estimated)
- Lead sponsor
- Qilu Hospital of Shandong UniversityUniversity, hospital or other
- Study start
- 26 May 2026 (actual)
- Primary completion
- 31 Dec 2028 (estimated)
- Study completion
- 31 Dec 2028 (estimated)
- First posted
- 9 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Pain group | – | Device: MagnetoencephalographyThis 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 |
| Healthy Control Group | – | Device: MagnetoencephalographyThis 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. |
Who may qualify
- Ages
- 18 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (6 listed)
- Meet the diagnostic criteria for muscle pain as specified in the Clinical Diagnosis Guidelines: Volume of Physical Medicine and Rehabilitation
- VAS score ≥ 3 points.
- Aged 18-70 years.
- Lesions located in the soft tissues of the neck, shoulder, or lumbodorsal region, accompanied by tender points.
- Able to understand and cooperate in completing the scales and undergoing MEG and MRI examinations.
Key exclusion criteria (7 listed)
- History of previous related disorders in the neck, shoulder, or lumbodorsal region.
- Recent use of medications that significantly affect central excitability and inability to stabilize the condition.
- Contraindications to MEG or MRI.
- 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.
- Concurrent severe diseases of the heart, brain, kidney, or other major organs.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| MagnetoencephalographyMEG 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. | Device | Healthy Control Group, Pain group |
Primary outcome
Visual Analogue Scale
Time frame: baseline, pre-intervention
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
16 secondary outcomes
Pittsburgh Sleep Quality Index (PSQI)
Time frame: baseline, pre-intervention
Shoulder Pain and Disability Index (SPADI)
Time frame: baseline, pre-intervention
Neck Disability Index (NDI)
Time frame: baseline, pre-intervention
Brain MRI
Time frame: baseline, pre-intervention
Oswestry Disability Index (ODI)
Time frame: baseline, pre-intervention
Central Sensitization Inventory (CSI)
Time frame: baseline, pre-intervention
American Orthopaedic Foot & Ankle Society (AOFAS)
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
SF-36 Health Survey
Time frame: baseline, pre-intervention
nternational Knee Documentation Committee Subjective Knee Form
Time frame: baseline, pre-intervention
Magnetoencephalography
Time frame: baseline, pre-intervention
Disabilities of the Arm, Shoulder and Hand Scale
Time frame: baseline, pre-intervention
Hamilton Anxiety Scale
Time frame: baseline, pre-intervention
Electroencephalography
Time frame: baseline, pre-intervention
Hamilton Depression Scale
Time frame: baseline, pre-intervention
Western Ontario and McMaster Universities Osteoarthritis Index
Time frame: baseline, pre-intervention
McGill Pain Questionnaire
Time frame: baseline, pre-intervention
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Sep 2026.
- Background: PubMed 28230841Baillet S. Magnetoencephalography for brain electrophysiology and imaging. Nat Neurosci. 2017 Feb 23;20(3):327-339. doi: 10.1038/nn.4504.
- Background: PubMed 29913746Frokjaer 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.
- Background: PubMed 39938202Cavicchioli 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.
- Background: PubMed 41348694Witjes 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.
- Background: PubMed 34290582Kim 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.
- Background: PubMed 33509733Phelps 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.
- BackgroundSABERI 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.
- Background: PubMed 38582288Yoshino 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.
- Background: PubMed 29391478Choe 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.
- Background: PubMed 34093370Khera T, Rangasamy V. Cognition and Pain: A Review. Front Psychol. 2021 May 21;12:673962. doi: 10.3389/fpsyg.2021.673962. eCollection 2021.
- Background: PubMed 26210576Gopalakrishnan 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.
- Background: PubMed 41095052Chertic 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Muscle Pain, run by Qilu Hospital of Shandong University at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 9 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Xiaofei Zhang (86-15563139097, xfeizhang2025@163.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Visual Analogue Scale (time frame: baseline, pre-intervention). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07809542, which also lists 18 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Sep 2026.