Fibromyalgia
Conditions
Keywords
Fibromyalgia, QEEG, Brain activity, fMRI, Diagnosis
Brief summary
Fibromyalgia is a relatively young condition recently recognized by the WHO as a separated clinical entity. Part of the medical comunity thinks of it as a mixed condition between depresion and rheumatic pain, however, functional data provided by sophisticated imaging techniques points at a diminished brain activity in several brain regions. The present study aims to characterize those findings by means of QEEG in order to establish the electroencephalographic characteristics of fibromyalgia patients.
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.
Interventions
None listed
Sponsors
Universidad de Murcia
Spanish Foundation for Neurometrics Development
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
20 Years to 70 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Differences between groups in Fast Fourier Transformation | Up to one year | Changes in Power in EEG over different electrodes |
| Topographic distribution of the frequency bands | Up to one year | Brain areas with a characteristic pattern |
| Dominant EEG frequency localization | Up to one year | To document the dominant frequency in the resting EEG for all subjects |
| Abnormal EEG-graphoelements description | Up to one year | To identify the abnormal EEG-graphoelements found in fibromyalgia patients |
| Functional conectivity | Up to one year | To identify the different brain connections between fibromyalgia patients |
Countries
Spain
Outcome results
None listed