QEEG and Qualitative EEG for the Identidification of Abnormal Patterns in Fibromyalgia Patients (QEEGFP)
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|ClinicalTrials.gov Identifier: NCT02662270|
Recruitment Status : Recruiting
First Posted : January 25, 2016
Last Update Posted : September 18, 2017
|Condition or disease|
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 :||Observational|
|Estimated Enrollment :||150 participants|
|Official Title:||Quantitative and Qualitative EEG From Fibromyalgia Patients for the Identification of Abnormal Patterns on Closed Eyes EEG|
|Actual Study Start Date :||January 2017|
|Estimated Primary Completion Date :||November 2017|
|Estimated Study Completion Date :||December 2017|
Patients with a fibromyalgia diagnosis established according to the American College of Rheumatology current criteria by a trained physician.
Healthy subjects paired by age and gender to the subjects in the cases group.
- Differences between groups in Fast Fourier Transformation [ Time Frame: Up to one year ]Changes in Power in EEG over different electrodes
- Topographic distribution of the frequency bands [ Time Frame: Up to one year ]Brain areas with a characteristic pattern
- Dominant EEG frequency localization [ Time Frame: Up to one year ]To document the dominant frequency in the resting EEG for all subjects
- Abnormal EEG-graphoelements description [ Time Frame: Up to one year ]To identify the abnormal EEG-graphoelements found in fibromyalgia patients
- Functional conectivity [ Time Frame: Up to one year ]To identify the different brain connections between fibromyalgia patients
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02662270
|Contact: Moises Aguilar-Domingo, PhDemail@example.com|
|Universidad de Murcia||Recruiting|
|Contact: Ramón Martín-Brufau, PhD 968278806|
|Principal Investigator:||Moises Aguilar-Domingo, PhD||Fundación Española para el Desarrollo de la Neurometria (Brainmech)|