Ana M González-Roldán1, Ignacio Cifre2, Carolina Sitges1, Pedro Montoya3. 1. *Research Institute of Health Sciences (IUNICS), University of Balearic Islands, Palma, Spain. 2. Facultat de Psicologia, Ciències de l'educació i de l'Esport, Blanquerna, Universitat Ramon Llull, Barcelona, Spain. 3. *Research Institute of Health Sciences (IUNICS), University of Balearic Islands, Palma, Spain pedro.montoya@uib.es.
Abstract
OBJECTIVE: Previous fMRI findings have shown that chronic pain patients display an altered activation and functional connectivity of the pain network. The aim of the present study was to analyze EEG dynamics in fibromyalgia patients (n = 20) and pain-free controls (n = 18) at rest. METHODS: Spectral power density, source current density, and intra- and inter-hemispheric coherence were analyzed from 64 EEG channels during 5-minutes eyes-closed rest. RESULTS: Results indicated that fibromyalgia patients displayed reduced power density of the delta EEG band (2-4 Hz) over right insula, right superior and middle temporal gyri as compared with pain-free controls. Fibromyalgia patients also exhibited greater power density than pain-free controls in two segments of the beta band (16-23 Hz and 23-30 Hz) over right middle frontal lobe and midcingulate gyrus. Pain duration in fibromyalgia patients was negatively correlated with delta power from right insula. Greater centro-parietal intra-hemispheric coherence was observed at the left hemisphere on theta (4-8 Hz), and beta-3 (23-30 Hz) frequency bands in fibromyalgia patients than in pain-free controls. Individual differences in depression, anxiety or negative affect did not account for these findings. CONCLUSIONS: Fibromyalgia leads to an altered dynamic of the brain network involved in the processing of pain even at rest. Furthermore ,: our results provide further support for the feasibility of resting-state EEG analyses as a clinical biomarker for the characterization of chronic pain states.
OBJECTIVE: Previous fMRI findings have shown that chronic painpatients display an altered activation and functional connectivity of the pain network. The aim of the present study was to analyze EEG dynamics in fibromyalgiapatients (n = 20) and pain-free controls (n = 18) at rest. METHODS: Spectral power density, source current density, and intra- and inter-hemispheric coherence were analyzed from 64 EEG channels during 5-minutes eyes-closed rest. RESULTS: Results indicated that fibromyalgiapatients displayed reduced power density of the delta EEG band (2-4 Hz) over right insula, right superior and middle temporal gyri as compared with pain-free controls. Fibromyalgiapatients also exhibited greater power density than pain-free controls in two segments of the beta band (16-23 Hz and 23-30 Hz) over right middle frontal lobe and midcingulate gyrus. Pain duration in fibromyalgiapatients was negatively correlated with delta power from right insula. Greater centro-parietal intra-hemispheric coherence was observed at the left hemisphere on theta (4-8 Hz), and beta-3 (23-30 Hz) frequency bands in fibromyalgiapatients than in pain-free controls. Individual differences in depression, anxiety or negative affect did not account for these findings. CONCLUSIONS:Fibromyalgia leads to an altered dynamic of the brain network involved in the processing of pain even at rest. Furthermore ,: our results provide further support for the feasibility of resting-state EEG analyses as a clinical biomarker for the characterization of chronic pain states.
Authors: Tim Saltuklaroglu; Ashley W Harkrider; David Thornton; David Jenson; Tiffani Kittilstved Journal: Neuroimage Date: 2017-04-09 Impact factor: 6.556
Authors: UnCheol Lee; Minkyung Kim; KyoungEun Lee; Chelsea M Kaplan; Daniel J Clauw; Seunghwan Kim; George A Mashour; Richard E Harris Journal: Sci Rep Date: 2018-01-10 Impact factor: 4.379
Authors: Alejandro Rodríguez; José Tembl; Patricia Mesa-Gresa; Miguel Ángel Muñoz; Pedro Montoya; Beatriz Rey Journal: PLoS One Date: 2017-07-12 Impact factor: 3.240
Authors: Anne Margarette S Maallo; Eric A Moulton; Christine B Sieberg; Donald B Giddon; David Borsook; Scott A Holmes Journal: Neurosci Biobehav Rev Date: 2021-06-06 Impact factor: 9.052