EEG Spectral coherence data distinguish chronic fatigue syndrome patients from healthy controls and depressed patients

By Frank H Duffy
Gloria B McAnulty
Michelle C McCreary
George J Cuchural
Anthony L Komaroff

Previous studies suggest central nervous system involvement in chronic fatigue syndrome (CFS), yet
there are no established diagnostic criteria. CFS may be difficult to differentiate from clinical depression. The study’s
objective was to determine if spectral coherence, a computational derivative of spectral analysis of the
electroencephalogram (EEG), could distinguish patients with CFS from healthy control subjects and not erroneously
classify depressed patients as having CFS.

The complete article can be found here.

Posted to ‘Knowledge Base, Research’ on August 23, 2012