Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients

Abstract MRI-based resting-state functional connectivity (rsFC) has been shown to predict response to pharmacological and non-pharmacological treatments for chronic pain, but not yet for motor cortex transcranial magnetic stimulation (M1-rTMS). Twenty-seven fibromyalgia syndrome (FMS) patients parti...

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Main Authors: Yuval Argaman, Yelena Granovsky, Elliot Sprecher, Alon Sinai, David Yarnitsky, Irit Weissman-Fogel
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-21557-x
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author Yuval Argaman
Yelena Granovsky
Elliot Sprecher
Alon Sinai
David Yarnitsky
Irit Weissman-Fogel
author_facet Yuval Argaman
Yelena Granovsky
Elliot Sprecher
Alon Sinai
David Yarnitsky
Irit Weissman-Fogel
author_sort Yuval Argaman
collection DOAJ
description Abstract MRI-based resting-state functional connectivity (rsFC) has been shown to predict response to pharmacological and non-pharmacological treatments for chronic pain, but not yet for motor cortex transcranial magnetic stimulation (M1-rTMS). Twenty-seven fibromyalgia syndrome (FMS) patients participated in this double-blind, crossover, and sham-controlled study. Ten daily treatments of 10 Hz M1-rTMS were given over 2 weeks. Before treatment series, patients underwent resting-state fMRI and clinical pain evaluation. Significant pain reduction occurred following active, but not sham, M1-rTMS. The following rsFC patterns predicted reductions in clinical pain intensity after the active treatment: weaker rsFC of the default-mode network with the middle frontal gyrus (r = 0.76, p < 0.001), the executive control network with the rostro-medial prefrontal cortex (r = 0.80, p < 0.001), the thalamus with the middle frontal gyrus (r = 0.82, p < 0.001), and the pregenual anterior cingulate cortex with the inferior parietal lobule (r = 0.79, p < 0.001); and stronger rsFC of the anterior insula with the angular gyrus (r =  − 0.81, p < 0.001). The above regions process the attentional and emotional aspects of pain intensity; serve as components of the resting-state networks; are modulated by rTMS; and are altered in FMS. Therefore, we suggest that in FMS, the weaker pre-existing interplay between pain-related brain regions and networks, the larger the pain relief resulting from M1-rTMS.
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spelling doaj.art-95ca707bd9f645c5a1eb5655d4763e932022-12-22T04:31:57ZengNature PortfolioScientific Reports2045-23222022-10-0112111010.1038/s41598-022-21557-xResting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patientsYuval Argaman0Yelena Granovsky1Elliot Sprecher2Alon Sinai3David Yarnitsky4Irit Weissman-Fogel5Clinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of TechnologyClinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of TechnologyDepartment of Neurology, Rambam Health Care CampusDepartment of Neurosurgery, Rambam Health Care CampusClinical Neurophysiology Lab, Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of TechnologyDepartment of Physical Therapy, Faculty of Social Welfare and Health Sciences, University of HaifaAbstract MRI-based resting-state functional connectivity (rsFC) has been shown to predict response to pharmacological and non-pharmacological treatments for chronic pain, but not yet for motor cortex transcranial magnetic stimulation (M1-rTMS). Twenty-seven fibromyalgia syndrome (FMS) patients participated in this double-blind, crossover, and sham-controlled study. Ten daily treatments of 10 Hz M1-rTMS were given over 2 weeks. Before treatment series, patients underwent resting-state fMRI and clinical pain evaluation. Significant pain reduction occurred following active, but not sham, M1-rTMS. The following rsFC patterns predicted reductions in clinical pain intensity after the active treatment: weaker rsFC of the default-mode network with the middle frontal gyrus (r = 0.76, p < 0.001), the executive control network with the rostro-medial prefrontal cortex (r = 0.80, p < 0.001), the thalamus with the middle frontal gyrus (r = 0.82, p < 0.001), and the pregenual anterior cingulate cortex with the inferior parietal lobule (r = 0.79, p < 0.001); and stronger rsFC of the anterior insula with the angular gyrus (r =  − 0.81, p < 0.001). The above regions process the attentional and emotional aspects of pain intensity; serve as components of the resting-state networks; are modulated by rTMS; and are altered in FMS. Therefore, we suggest that in FMS, the weaker pre-existing interplay between pain-related brain regions and networks, the larger the pain relief resulting from M1-rTMS.https://doi.org/10.1038/s41598-022-21557-x
spellingShingle Yuval Argaman
Yelena Granovsky
Elliot Sprecher
Alon Sinai
David Yarnitsky
Irit Weissman-Fogel
Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
Scientific Reports
title Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
title_full Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
title_fullStr Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
title_full_unstemmed Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
title_short Resting-state functional connectivity predicts motor cortex stimulation-dependent pain relief in fibromyalgia syndrome patients
title_sort resting state functional connectivity predicts motor cortex stimulation dependent pain relief in fibromyalgia syndrome patients
url https://doi.org/10.1038/s41598-022-21557-x
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