- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02662270
QEEG and Qualitative EEG for the Identidification of Abnormal Patterns in Fibromyalgia Patients (QEEGFP)
Quantitative and Qualitative EEG From Fibromyalgia Patients for the Identification of Abnormal Patterns on Closed Eyes EEG
Study Overview
Status
Conditions
Detailed Description
Fibromyalgia is a disease that part of the general population and even the medical community views with skepticism and only recently was accepted as a true condition by the World Health Organization. Some physicians see it as a form of depresion mixed with rheumatic pain. However recent findings in functional magnetic resonance imaging and positron emited tomography documented diminished brain activity on several regions. The impairments must be located within the areas with a documented functional defect, wherein, spontaneous braincells activity chould arise. Therefor electroencephalography findings should be a valuable diagnostic tool for early detection in fibromyalgia. The present study aims to analyse the differences between bioelectric characteristics in EEG from fibromyalgia patients with their eyes closed in a 21 electrode arragement. Normal graphoelements as well as abnormal ones and its topographic distribution and functional conections will be analyzed.
The working hypotesis is that fibromyalgia patients will present distintive characteristics in the same areas where a diminished brain activity has been documented by metabolic and morphologic tests as a group and that those characteristics are suitable to be measured by QEEG and distinguishable from healthy subjects.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Murcia, Spain
- Universidad de Murcia
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Men and women between 20 and 70 years old, diagnosed with fibromyalgia and a control group matched by age and gender
Exclusion Criteria:
- Any other concomitant neurologic disease or impairment
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
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Cases
Patients with a fibromyalgia diagnosis established according to the American College of Rheumatology current criteria by a trained physician.
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Controls
Healthy subjects paired by age and gender to the subjects in the cases group.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Differences between groups in Fast Fourier Transformation
Time Frame: Up to one year
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Changes in Power in EEG over different electrodes
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Up to one year
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Topographic distribution of the frequency bands
Time Frame: Up to one year
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Brain areas with a characteristic pattern
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Up to one year
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Dominant EEG frequency localization
Time Frame: Up to one year
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To document the dominant frequency in the resting EEG for all subjects
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Up to one year
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Abnormal EEG-graphoelements description
Time Frame: Up to one year
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To identify the abnormal EEG-graphoelements found in fibromyalgia patients
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Up to one year
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Functional conectivity
Time Frame: Up to one year
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To identify the different brain connections between fibromyalgia patients
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Up to one year
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Moises Aguilar-Domingo, PhD, Brainmech Foundation
Publications and helpful links
General Publications
- Branco J, Atalaia A, Paiva T. Sleep cycles and alpha-delta sleep in fibromyalgia syndrome. J Rheumatol. 1994 Jun;21(6):1113-7.
- Drewes AM. Pain and sleep disturbances with special reference to fibromyalgia and rheumatoid arthritis. Rheumatology (Oxford). 1999 Nov;38(11):1035-8. doi: 10.1093/rheumatology/38.11.1035. No abstract available.
- Flodin P, Martinsen S, Lofgren M, Bileviciute-Ljungar I, Kosek E, Fransson P. Fibromyalgia is associated with decreased connectivity between pain- and sensorimotor brain areas. Brain Connect. 2014 Oct;4(8):587-94. doi: 10.1089/brain.2014.0274. Epub 2014 Aug 7.
- Napadow V, Harris RE. What has functional connectivity and chemical neuroimaging in fibromyalgia taught us about the mechanisms and management of 'centralized' pain? Arthritis Res Ther. 2014;16(5):425. doi: 10.1186/s13075-014-0425-0.
- Rains JC, Penzien DB. Sleep and chronic pain: challenges to the alpha-EEG sleep pattern as a pain specific sleep anomaly. J Psychosom Res. 2003 Jan;54(1):77-83. doi: 10.1016/s0022-3999(02)00545-7.
- Schmidt-Wilcke T, Ichesco E, Hampson JP, Kairys A, Peltier S, Harte S, Clauw DJ, Harris RE. Resting state connectivity correlates with drug and placebo response in fibromyalgia patients. Neuroimage Clin. 2014 Sep 16;6:252-61. doi: 10.1016/j.nicl.2014.09.007. eCollection 2014.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Fibromyalgia and TDCs
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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