Fibromyalgia Detection Based on EEG Connectivity Patterns, 2021, Martin-Brufau et al

Abstract
Objective: The identification of a complementary test to confirm the diagnosis of FM. The diagnosis of fibromyalgia (FM) is based on clinical features, but there is still no consensus, so patients and clinicians might benefit from such a test. Recent findings showed that pain lies in neuronal bases (pain matrices) and, in the long term, chronic pain modifies the activity and dynamics of brain structures. Our hypothesis is that patients with FM present lower levels of brain activity and therefore less connectivity than controls.

Methods: We registered the resting state EEG of 23 patients with FM and compared them with 23 control subjects’ resting state recordings from the PhysioBank database. We measured frequency, amplitude, and functional connectivity, and conducted source localization (sLORETA). ROC analysis was performed on the resulting data.

Results: We found significant differences in brain bioelectrical activity at rest in all analyzed bands between patients and controls, except for Delta. Subsequent source analysis provided connectivity values that depicted a distinct profile, with high discriminative capacity (between 91.3–100%) between the two groups.

Conclusions: Patients with FM show a distinct neurophysiological pattern that fits with the clinical features of the disease.

https://www.mdpi.com/2077-0383/10/15/3277/htm

 

So where are the data please, mate?

I think you have to be a bit thick to write that sentence.

 

I know this has been covered, but ??? Huh?

 

"A medical doctor with 50 years’ experience in EEG ran a qualitative analysis by visual inspection of specific assemblies of bipolar montages...."

So eminence based medicine at it's tip top best then

I've only had a quick scan but I can't see evidence of blinding. And why not use more objective screening of the results by computer or wotnot?