Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks

Hyungjun Kim, Jieun Kim, Marco L. Loggia, Christine Cahalan, Ronald G. Garcia, Mark G. Vangel, Ajay D. Wasan, Robert R. Edwards, Vitaly Napadow

Research output: Contribution to journalArticle

Abstract

Altered brain morphometry has been widely acknowledged in chronic pain, and recent studies have implicated altered network dynamics, as opposed to properties of individual brain regions, in supporting persistent pain. Structural covariance analysis determines the inter-regional association in morphological metrics, such as gray matter volume, and such structural associations may be altered in chronic pain. In this study, voxel-based morphometry structural covariance networks were compared between fibromyalgia patients (N = 42) and age- and sex-matched pain-free adults (N = 63). We investigated network topology using spectral partitioning, which can delineate local network submodules with consistent structural covariance. We also explored white matter connectivity between regions comprising these submodules and evaluated the association between probabilistic white matter tractography and pain-relevant clinical metrics. Our structural covariance network analysis noted more connections within the cerebellum for fibromyalgia patients, and more connections in the frontal lobe for healthy controls. For fibromyalgia patients, spectral partitioning identified a distinct submodule with cerebellar connections to medial prefrontal and temporal and right inferior parietal lobes, whose gray matter volume was associated with the severity of depression in these patients. Volume for a submodule encompassing lateral orbitofrontal, inferior frontal, postcentral, lateral temporal, and insular cortices was correlated with evoked pain sensitivity. Additionally, the number of white matter fibers between specific submodule regions was also associated with measures of evoked pain sensitivity and clinical pain interference. Hence, altered gray and white matter morphometry in cerebellar and frontal cortical regions may contribute to, or result from, pain-relevant dysfunction in chronic pain patients.

Original languageEnglish (US)
Pages (from-to)667-677
Number of pages11
JournalNeuroImage: Clinical
Volume7
DOIs
StatePublished - 2015
Externally publishedYes

Fingerprint

Fibromyalgia
Pain
Brain
Chronic Pain
Parietal Lobe
Frontal Lobe
Temporal Lobe
Cerebral Cortex
Cerebellum
Depression
White Matter
Gray Matter

Keywords

  • Cerebellum
  • Fibromyalgia
  • Network
  • Pain
  • Tractography

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging
  • Cognitive Neuroscience
  • Neurology

Cite this

Kim, H., Kim, J., Loggia, M. L., Cahalan, C., Garcia, R. G., Vangel, M. G., ... Napadow, V. (2015). Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks. NeuroImage: Clinical, 7, 667-677. https://doi.org/10.1016/j.nicl.2015.02.022

Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks. / Kim, Hyungjun; Kim, Jieun; Loggia, Marco L.; Cahalan, Christine; Garcia, Ronald G.; Vangel, Mark G.; Wasan, Ajay D.; Edwards, Robert R.; Napadow, Vitaly.

In: NeuroImage: Clinical, Vol. 7, 2015, p. 667-677.

Research output: Contribution to journalArticle

Kim, H, Kim, J, Loggia, ML, Cahalan, C, Garcia, RG, Vangel, MG, Wasan, AD, Edwards, RR & Napadow, V 2015, 'Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks', NeuroImage: Clinical, vol. 7, pp. 667-677. https://doi.org/10.1016/j.nicl.2015.02.022
Kim, Hyungjun ; Kim, Jieun ; Loggia, Marco L. ; Cahalan, Christine ; Garcia, Ronald G. ; Vangel, Mark G. ; Wasan, Ajay D. ; Edwards, Robert R. ; Napadow, Vitaly. / Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks. In: NeuroImage: Clinical. 2015 ; Vol. 7. pp. 667-677.
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