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.
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
Enrollment
150
Universidad de Murcia
Murcia, Spain
Differences between groups in Fast Fourier Transformation
Changes in Power in EEG over different electrodes
Time frame: Up to one year
Topographic distribution of the frequency bands
Brain areas with a characteristic pattern
Time frame: Up to one year
Dominant EEG frequency localization
To document the dominant frequency in the resting EEG for all subjects
Time frame: Up to one year
Abnormal EEG-graphoelements description
To identify the abnormal EEG-graphoelements found in fibromyalgia patients
Time frame: Up to one year
Functional conectivity
To identify the different brain connections between fibromyalgia patients
Time frame: Up to one year
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