Abstract

The purpose is to explore the brain’s structural difference in local morphology and between-region networks between two types of peripheral neuropathic pain (PNP): postherpetic neuralgia (PHN) and lower back pain (LBP). A total of 54 participants including 38 LBP and 16 PHN patients were enrolled. The average pain scores were 7.6 and 7.5 for LBP and PHN. High-resolution structural T1 weighted images were obtained. Both grey matter volume (GMV) and morphological connectivity (MC) were extracted. An independent two-sample t-test with false discovery rate (FDR) correction was used to identify the brain regions where LBP and PHN patients showed significant GMV difference. Next, we explored the differences of MC network between LBP and PHN patients and detected the group differences in network properties by using the two-sample t-test and FDR correction. Compared with PHN, LBP patients had significantly larger GMV in temporal gyrus, insula and fusiform gyrus (p < 0.05). The LBP cohort had significantly stronger MC in the connection between right precuneus and left opercular part of inferior frontal gyrus (p < 0.05). LBP patients had significantly stronger degree in left anterior cingulate gyrus and left rectus gyrus (p < 0.05) while had significantly weaker degree than PHN patients in left orbital part of middle frontal gyrus, left supplementary motor area and left superior parietal lobule (p < 0.05). LBP and PHN patients had significant differences in the brain’s GMV, MC, and network properties, which implies that different PNPs have different neural mechanisms concerning pain modulation.

Highlights

  • The purpose is to explore the brain’s structural difference in local morphology and between-region networks between two types of peripheral neuropathic pain (PNP): postherpetic neuralgia (PHN) and lower back pain (LBP)

  • Considering the mounting evidence on the close relationship between pain disorders and other types of structural or functional brain connectivity (DTI tractography or functional connectivity)[2,35], it is reasonable to hypothesize that morphological connectivity (MC) is a promising brain biomarker of neuropathic pain. We explored both the grey matter volume (GMV) and MC patterns of PHN and LBP patients and gauged the differences of structural networks between these two types of PNP to find out the possible structural MRI biomarkers which were more specific to the diseases

  • An independent two-sample t-test with an accompanying false discovery rate (FDR) correction was used to identify the brain regions where LBP and PHN patients showed significant GMV difference

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Summary

Introduction

The purpose is to explore the brain’s structural difference in local morphology and between-region networks between two types of peripheral neuropathic pain (PNP): postherpetic neuralgia (PHN) and lower back pain (LBP). A large number of neuroimaging studies have explored the brain activity and network ­changes[16,27,28,30,46] in PHN and LBP, and have exposed their neural mechanism of pain modulation. We explored both the GMV and MC patterns of PHN and LBP patients and gauged the differences of structural networks between these two types of PNP to find out the possible structural MRI biomarkers which were more specific to the diseases.

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