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Neurologic Signatures of Chronic Pain Disorders

NCT ID: NCT02747940

Last Updated: 2020-11-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

200 participants

Study Classification

INTERVENTIONAL

Study Start Date

2015-12-31

Brief Summary

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"Brain signatures" as objective measures of acute pain have been characterized with functional magnetic resonance image and machine learning technology. As compared to acute pain, chronic pain leads to greater socioeconomic burden. However, measures for chronic pain remain subjective and suboptimal, and the brain signatures for chronic pain are largely unknown. Chronic migraine and fibromyalgia are two prototypes primary chronic pain disorders with high disability and intractability with prevalence of around 2% for both diseases. These two chronic pain disorders have shared clinical presentations (abnormal pain sensitivity, mood and sleep disorders), pathophysiology (central sensitization) and medical treatment (anti-depressants), despite different body parts are involved (head vs. whole body). The present integrated project aims to characterize both common and disease-specific brain signatures of chronic pain by investigating these two chronic pain disorders. Our findings may shed some light on the key mechanisms of pain chronification, and may pave the way for the optimization of diagnosis and prognostication, as well as formulation of personalized medicine in chronic pain, so as to improve life quality of these patients and to reduce socioeconomic loss.

The present project includes three interdisciplinary sub-projects (plus one animal study, not listed here):

A: Clinical studies for chronic migraine and fibromyalgia: endophenotypes and pain chronification B: Functional neuroimaging of chronic pain: multimodal quantitative analysis of brain connectomes C. Data stream mining technology for multimodal physiological signals of chronic pain: real-time tracking and clinical correlation

The specific aims of the present projects include:

1. Identification of common and disease-specific brain signatures for chronic pain (sub-projects A, B, C)
2. Investigation of clinical indicators with predictive values by machine learning analysis of big data (sub-projects A, B, C)
3. Elucidation of the specific anatomical structures or neural networks underpinning pain chronification based on clinical neuroimaging (sub-projects A, B) In this 1st-year pilot study of the 4-year longitudinal study, we will establish experimental platforms for each sub-project, start to recruit participants and perform endophenotyping, as well as have a preliminary integration for sub-projects A, B and C.

Detailed Description

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Conditions

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Chronic Pain Chronic Migraine Fibromyalgia

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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patients with chronic migraine

flunarizine for patients with chronic migraine

Group Type EXPERIMENTAL

flunarizine and/or pregabalin

Intervention Type DRUG

patients with fibromyalgia

pregabalin for patients with fibromyalgia

Group Type EXPERIMENTAL

flunarizine and/or pregabalin

Intervention Type DRUG

patients with chronic migraine and fibromyalgia

flunarizine and pregabalin for patients with chronic migraine and myalgia

Group Type EXPERIMENTAL

flunarizine and/or pregabalin

Intervention Type DRUG

Interventions

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flunarizine and/or pregabalin

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* Control: devoid of any systemic or neurological diseases
* Chronic migraine: by ICHD-III (International Classification of Headache Disorder) criteria
* Fibromyalgia: by ACR (American College of Rheumatology) 2010 criteria

Exclusion Criteria

* history of major systemic illness, including uncontrolled hypertension, diabetes, chronic renal insufficiency, autoimmune diseases or malignancies
* history of neurological disorders which might affect sensation such as previous stroke or peripheral neuropathy
* history of substance abuse (except painkillers)
* heavy smokers (with a daily consumption \>20 cigarettes)
* pregnancy or lactation
* any contraindication for magnetic resonance imaging (MRI)
* and any obvious infection or inflammation over a period of at least 1 month before the study.
Minimum Eligible Age

20 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Ministry of Science and Technology of the People´s Republic of China

OTHER_GOV

Sponsor Role collaborator

Taipei Veterans General Hospital, Taiwan

OTHER_GOV

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Shuu-Jiun Wang, M.D.

Role: PRINCIPAL_INVESTIGATOR

Neurological Institute, Taipei Veterans General Hospital

Locations

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Headache Center, Teipei Veterans General Hospital

Taipei, , Taiwan

Site Status

Countries

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Taiwan

References

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Chuang CH, Li JY, King JT, Chen WT, Chen SP, Wang YF, Liu HY, Hsiao FJ, Pan LH, Wang SJ, Lai KL. Abnormal heart rate variability and its application in predicting treatment efficacy in patients with chronic migraine: An exploratory study. Cephalalgia. 2023 Oct;43(10):3331024231206781. doi: 10.1177/03331024231206781.

Reference Type DERIVED
PMID: 37851663 (View on PubMed)

Pan LH, Chen WT, Wang YF, Chen SP, Lai KL, Liu HY, Hsiao FJ, Wang SJ. Resting-state occipital alpha power is associated with treatment outcome in patients with chronic migraine. Pain. 2022 Jul 1;163(7):1324-1334. doi: 10.1097/j.pain.0000000000002516. Epub 2021 Oct 13.

Reference Type DERIVED
PMID: 35708466 (View on PubMed)

Pan LH, Wang YF, Ling YH, Lai KL, Chen SP, Chen WT, Treede RD, Wang SJ. Pain sensitivities predict prophylactic treatment outcomes of flunarizine in chronic migraine patients: A prospective study. Cephalalgia. 2022 Aug;42(9):899-909. doi: 10.1177/03331024221080572. Epub 2022 Apr 11.

Reference Type DERIVED
PMID: 35400174 (View on PubMed)

Hsiao FJ, Chen WT, Liu HY, Wang YF, Chen SP, Lai KL, Hope Pan LL, Coppola G, Wang SJ. Migraine chronification is associated with beta-band connectivity within the pain-related cortical regions: a magnetoencephalographic study. Pain. 2021 Oct 1;162(10):2590-2598. doi: 10.1097/j.pain.0000000000002255.

Reference Type DERIVED
PMID: 34534180 (View on PubMed)

Hsiao FJ, Chen WT, Ko YC, Liu HY, Wang YF, Chen SP, Lai KL, Lin HY, Coppola G, Wang SJ. Neuromagnetic Amygdala Response to Pain-Related Fear as a Brain Signature of Fibromyalgia. Pain Ther. 2020 Dec;9(2):765-781. doi: 10.1007/s40122-020-00206-z. Epub 2020 Oct 22.

Reference Type DERIVED
PMID: 33090368 (View on PubMed)

Other Identifiers

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2015-10-001BC2015-11-001AC002B

Identifier Type: -

Identifier Source: org_study_id