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

Robby De Pauw (UGent) , Hannelore Aerts (UGent) , Roma Siugzdaite (UGent) , Mira Meeus (UGent) , Iris Coppieters (UGent) , Karen Caeyenberghs (UGent) and Barbara Cagnie (UGent)
(2020) PAIN. 161(4). p.729-741
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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.
Keywords
Whiplash, Brain imaging, Idiopathic neck pain, Graph theory, HDI, Network topology, Connectomics, WHIPLASH-ASSOCIATED DISORDERS, BRAIN FUNCTIONAL NETWORKS, DEFAULT-MODE NETWORK, CENTRAL SENSITIZATION, DISABILITY-INDEX, AMYGDALA, OPTIMIZATION, REGISTRATION, RELIABILITY, PERFORMANCE

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MLA
De Pauw, Robby, et al. “Hub Disruption in Patients with Chronic Neck Pain : A Graph Analytical Approach.” PAIN, vol. 161, no. 4, 2020, pp. 729–41, doi:10.1097/j.pain.0000000000001762.
APA
De Pauw, R., Aerts, H., Siugzdaite, R., Meeus, M., Coppieters, I., Caeyenberghs, K., & Cagnie, B. (2020). Hub disruption in patients with chronic neck pain : a graph analytical approach. PAIN, 161(4), 729–741. https://doi.org/10.1097/j.pain.0000000000001762
Chicago author-date
De Pauw, Robby, Hannelore Aerts, Roma Siugzdaite, Mira Meeus, Iris Coppieters, Karen Caeyenberghs, and Barbara Cagnie. 2020. “Hub Disruption in Patients with Chronic Neck Pain : A Graph Analytical Approach.” PAIN 161 (4): 729–41. https://doi.org/10.1097/j.pain.0000000000001762.
Chicago author-date (all authors)
De Pauw, Robby, Hannelore Aerts, Roma Siugzdaite, Mira Meeus, Iris Coppieters, Karen Caeyenberghs, and Barbara Cagnie. 2020. “Hub Disruption in Patients with Chronic Neck Pain : A Graph Analytical Approach.” PAIN 161 (4): 729–741. doi:10.1097/j.pain.0000000000001762.
Vancouver
1.
De Pauw R, Aerts H, Siugzdaite R, Meeus M, Coppieters I, Caeyenberghs K, et al. Hub disruption in patients with chronic neck pain : a graph analytical approach. PAIN. 2020;161(4):729–41.
IEEE
[1]
R. De Pauw et al., “Hub disruption in patients with chronic neck pain : a graph analytical approach,” PAIN, vol. 161, no. 4, pp. 729–741, 2020.
@article{8642205,
  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.}},
  author       = {{De Pauw, Robby and Aerts, Hannelore and Siugzdaite, Roma and Meeus, Mira and Coppieters, Iris and Caeyenberghs, Karen and Cagnie, Barbara}},
  issn         = {{0304-3959}},
  journal      = {{PAIN}},
  keywords     = {{Whiplash,Brain imaging,Idiopathic neck pain,Graph theory,HDI,Network topology,Connectomics,WHIPLASH-ASSOCIATED DISORDERS,BRAIN FUNCTIONAL NETWORKS,DEFAULT-MODE NETWORK,CENTRAL SENSITIZATION,DISABILITY-INDEX,AMYGDALA,OPTIMIZATION,REGISTRATION,RELIABILITY,PERFORMANCE}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{729--741}},
  title        = {{Hub disruption in patients with chronic neck pain : a graph analytical approach}},
  url          = {{http://dx.doi.org/10.1097/j.pain.0000000000001762}},
  volume       = {{161}},
  year         = {{2020}},
}

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