Literature DB >> 32947544

Pain sensitivity and the primary sensorimotor cortices: a multimodal neuroimaging study.

David M Niddam1,2, Shuu-Jiun Wang1,3,4, Shang-Yueh Tsai5,6.   

Abstract

ABSTRACT: The primary somatosensory cortex (SI) is a critical part of the neural substrate underlying interindividual differences in pain sensitivity. Here, we investigated whether resting-state functional connectivity, gray matter density (GMD), and GABA and Glx (glutamate and glutamine) levels of the sensorimotor cortices were related to pain thresholds and whether such imaging measures could predict high and low pain sensitivity. Functional, structural, and spectroscopic magnetic resonance data were obtained from 48 healthy participants together with pain thresholds of the right index finger. Left and right sensorimotor networks (SMN) were extracted by means of independent component analysis, and GMD was measured within the combined SMN by means of voxel-based morphometry. Spectroscopic data were acquired from the bilateral sensorimotor cortices. Within the left SMN, functional connectivity to the right SI correlated positively with pain thresholds. In addition, GMD in the left SI and the GABA laterality index correlated positively with pain thresholds. A positive correlation was also found between the GABA laterality index and the left SMN connectivity to the right SI. Finally, the above mentioned functional connectivity and GMD measures could correctly predict high and low pain sensitivity in 83.7% of the study population. In summary, we showed that interindividual differences in pain sensitivity were related to the resting-state functional connectivity, interhemispheric GABA tone, and GMD of the sensorimotor cortices. Furthermore, high and low pain sensitivity could be predicted with high accuracy using imaging measures from the primary sensorimotor cortices.
Copyright © 2020 International Association for the Study of Pain.

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Year:  2021        PMID: 32947544     DOI: 10.1097/j.pain.0000000000002074

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  4 in total

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Authors:  Shao-Gao Gui; Ri-Bo Chen; Yu-Lin Zhong; Xin Huang
Journal:  J Pain Res       Date:  2021-10-27       Impact factor: 3.133

2.  Combining Regional and Connectivity Metrics of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Individualized Prediction of Pain Sensitivity.

Authors:  Rushi Zou; Linling Li; Li Zhang; Gan Huang; Zhen Liang; Lizu Xiao; Zhiguo Zhang
Journal:  Front Mol Neurosci       Date:  2022-03-15       Impact factor: 5.639

3.  The Effect of Long-Term Menstrual Pain on Large-Scale Brain Network in Primary Dysmenorrhea Patients.

Authors:  Si-Jie Yi; Ri-Bo Chen; Yu-Lin Zhong; Xin Huang
Journal:  J Pain Res       Date:  2022-07-28       Impact factor: 2.832

4.  Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds.

Authors:  Lynn Neumann; Niklas Wulms; Vanessa Witte; Tamas Spisak; Matthias Zunhammer; Ulrike Bingel; Tobias Schmidt-Wilcke
Journal:  Hum Brain Mapp       Date:  2021-07-23       Impact factor: 5.038

  4 in total

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