Open AccessWhole-brain functional network disruption in chronic pain with disk herniation
Author(s) -
Shi-Shi Huang,
Kenta Wakaizumi,
Binbin Wu,
Bi-Xin Shen,
Bo Wu,
Lijun Fan,
Marwan N. Baliki,
Zhan Gao,
A. Vania Apkarian,
Li Huang
Publication year - 2019
Publication title -
pain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.524
H-Index - 258
eISSN - 1872-6623
pISSN - 0304-3959
DOI - 10.1097/j.pain.0000000000001674
Subject(s) - chronic pain , betweenness centrality , medicine , functional magnetic resonance imaging , clustering coefficient , neuropathic pain , resting state fmri , functional connectivity , physical medicine and rehabilitation , physical therapy , centrality , psychology , neuroscience , anesthesia , cluster analysis , computer science , artificial intelligence , mathematics , combinatorics
Brain functional network properties are globally disrupted in multiple musculoskeletal chronic pain conditions. Back pain with lumbar disk herniation (LDH) is highly prevalent and a major route for progression to chronic back pain. However, brain functional network properties remain unknown in such patients. Here, we examined resting-state functional magnetic resonance imaging-based functional connectivity networks in chronic back pain patients with clear evidence for LDH (LDH-chronic pain n = 146), in comparison to healthy controls (HCs, n = 165). The study was conducted in China, thus providing the opportunity to also examine the influence of culture on brain functional reorganization with chronic pain. The data were equally subdivided into discovery and validation subgroups (n = 68 LDH-chronic pain and n = 68 HC, for each subgroup), and contrasted to an off-site data set (n = 272, NITRC 1000). Graph disruption indices derived from 3 network topological measurements, degree, clustering coefficient, and efficiency, which respectively represent network hubness, segregation, and integration, were significantly decreased compared with HC, across all predefined link densities, in both discovery and validation groups. However, global mean clustering coefficient and betweenness centrality were decreased in the discovery group and showed trend in the validation group. The relationship between pain and graph disruption indices was limited to males with high education. These results deviate somewhat from recent similar analysis for other musculoskeletal chronic pain conditions, yet we cannot determine whether the differences are due to types of pain or also to cultural differences between patients studied in China and the United States.