Literature DB >> 31764388

Hub disruption in patients with chronic neck pain: a graph analytical approach.

Robby De Pauw1, Hannelore Aerts2, Roma Siugzdaite3, Mira Meeus1,4,5, Iris Coppieters1,4,6, Karen Caeyenberghs1,7, Barbara Cagnie1.   

Abstract

Chronic pain is known to alter the brain's network dynamics. These dynamics are often demonstrated by identifying alterations in the brain network topology. A common approach used for this purpose is graph theory. To date, little is known on how these potentially altered networks in chronic pain relate to the symptoms reported by these patients. Here, we applied a graph theoretical approach to identify network changes in patients suffering from chronic neck pain, a group that is often neglected in chronic pain research. Participants with chronic traumatic and nontraumatic neck pain were compared to healthy pain-free controls. They showed higher levels of self-reported symptoms of sensitization, higher levels of disability, and impaired sensorimotor control. Furthermore, the brain suffering from chronic neck pain showed altered network properties in the posterior cingulate cortex, amygdala, and pallidum compared with the healthy pain-free brain. These regions have been identified as brain hubs (ie, regions that are responsible for orchestrating communication between other brain regions) and are therefore known to be more vulnerable in brain disorders including chronic pain. We were furthermore able to uncover associations between these altered brain network properties and the symptoms reported by patients. Our findings indicate that chronic neck pain patients reflect brain network alterations and that targeting the brain in patients might be of utmost importance.

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Mesh:

Year:  2020        PMID: 31764388     DOI: 10.1097/j.pain.0000000000001762

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


  5 in total

1.  Middle cingulate cortex function contributes to response to non-steroidal anti-inflammatory drug in cervical spondylosis patients: a preliminary resting-state fMRI study.

Authors:  Liang Bai; Lei Zhang; Yong Chen; Yang Li; Dongya Ma; Wei Li; Yong Meng; Yaowei Zhao; Yemi Wang; Qingliang Zeng; Quankui Zhuang
Journal:  Neuroradiology       Date:  2022-04-25       Impact factor: 2.804

2.  Altered Brain Topological Property Associated With Anxiety in Experimental Orthodontic Pain.

Authors:  Feifei Zhang; Fei Li; Hong Yang; Yu Jin; Wenli Lai; Graham J Kemp; Zhiyun Jia; Qiyong Gong
Journal:  Front Neurosci       Date:  2022-05-11       Impact factor: 5.152

3.  Transcriptional and cellular signatures of cortical morphometric remodelling in chronic pain.

Authors:  Daniel Martins; Ottavia Dipasquale; Mattia Veronese; Federico Turkheimer; Marco L Loggia; Stephen McMahon; Matthew A Howard; Steven C R Williams
Journal:  Pain       Date:  2021-09-23       Impact factor: 7.926

4.  Functional Disruptions of the Brain in Low Back Pain: A Potential Imaging Biomarker of Functional Disability.

Authors:  Bidhan Lamichhane; Dinal Jayasekera; Rachel Jakes; Wilson Z Ray; Eric C Leuthardt; Ammar H Hawasli
Journal:  Front Neurol       Date:  2021-07-14       Impact factor: 4.003

5.  Reorganization of functional brain network architecture in chronic osteoarthritis pain.

Authors:  Joana Barroso; Kenta Wakaizumi; Ana Mafalda Reis; Marwan Baliki; Thomas J Schnitzer; Vasco Galhardo; Apkar Vania Apkarian
Journal:  Hum Brain Mapp       Date:  2020-11-19       Impact factor: 5.399

  5 in total

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