Increased connectivity of pain matrix in chronic migraine: a resting-state functional MRI study

Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. Methods We prospectively recruited patients with either episodic migraine (EM) or CM aged 18–60 years who visited the headache clinic of the Samsung Medic...

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Published in:Journal of headache and pain Vol. 20; no. 1; p. 29
Main Authors: Lee, Mi Ji, Park, Bo-yong, Cho, Soohyun, Kim, Sung Tae, Park, Hyunjin, Chung, Chin-Sang
Format: Journal Article
Language:English
Published: Milan Springer Milan 25-03-2019
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Abstract Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. Methods We prospectively recruited patients with either episodic migraine (EM) or CM aged 18–60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR). Results A total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p  = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety ( p  = 0.038). The pain matrix was functionally correlated with the hypothalamus ( p  = 0.040, EM > CM) and dorsal raphe nucleus ( p  = 0.039, CM > EM) with different levels of strength in EM and CM. Conclusion CM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.
AbstractList To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. We prospectively recruited patients with either episodic migraine (EM) or CM aged 18-60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR). A total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety (p = 0.038). The pain matrix was functionally correlated with the hypothalamus (p = 0.040, EM > CM) and dorsal raphe nucleus (p = 0.039, CM > EM) with different levels of strength in EM and CM. CM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.
Abstract Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. Methods We prospectively recruited patients with either episodic migraine (EM) or CM aged 18–60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR). Results A total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety (p = 0.038). The pain matrix was functionally correlated with the hypothalamus (p = 0.040, EM > CM) and dorsal raphe nucleus (p = 0.039, CM > EM) with different levels of strength in EM and CM. Conclusion CM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.
Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. Methods We prospectively recruited patients with either episodic migraine (EM) or CM aged 18–60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR). Results A total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p  = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety ( p  = 0.038). The pain matrix was functionally correlated with the hypothalamus ( p  = 0.040, EM > CM) and dorsal raphe nucleus ( p  = 0.039, CM > EM) with different levels of strength in EM and CM. Conclusion CM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.
OBJECTIVETo investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method.METHODSWe prospectively recruited patients with either episodic migraine (EM) or CM aged 18-60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR).RESULTSA total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety (p = 0.038). The pain matrix was functionally correlated with the hypothalamus (p = 0.040, EM > CM) and dorsal raphe nucleus (p = 0.039, CM > EM) with different levels of strength in EM and CM.CONCLUSIONCM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.
ArticleNumber 29
Author Cho, Soohyun
Park, Hyunjin
Chung, Chin-Sang
Lee, Mi Ji
Park, Bo-yong
Kim, Sung Tae
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  organization: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Neuroscience Center, Samsung Medical Center
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  fullname: Park, Bo-yong
  organization: Department of Electrical and Computer Engineering, Sungkyunkwan University, Center for Neuroscience Imaging Research, Institute for Basic Science
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  givenname: Soohyun
  surname: Cho
  fullname: Cho, Soohyun
  organization: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine
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  givenname: Sung Tae
  surname: Kim
  fullname: Kim, Sung Tae
  organization: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine
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  givenname: Hyunjin
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  fullname: Park, Hyunjin
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  givenname: Chin-Sang
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  fullname: Chung, Chin-Sang
  email: cspaul@naver.com
  organization: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Neuroscience Center, Samsung Medical Center
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30909865$$D View this record in MEDLINE/PubMed
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Issue 1
Keywords Chronic migraine
Neuroimaging
Pain matrix
Functional MRI
Migraine
Language English
License Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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PublicationSubtitle Official Journal of the "European Headache Federation" and of "Lifting The Burden - The Global Campaign against Headache"
PublicationTitle Journal of headache and pain
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Snippet Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. Methods We...
To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. We prospectively...
ObjectiveTo investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method.MethodsWe...
OBJECTIVETo investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method.METHODSWe...
Abstract Objective To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method....
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StartPage 29
SubjectTerms Anxiety
Chronic migraine
Dorsal raphe nucleus
Functional magnetic resonance imaging
Functional MRI
Headache
Hypothalamus
Internal Medicine
Medicine
Medicine & Public Health
Mental depression
Migraine
Neural networks
Neuroimaging
Neurology
Pain
Pain matrix
Pain Medicine
Pain perception
Raphe nuclei
Research Article
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Title Increased connectivity of pain matrix in chronic migraine: a resting-state functional MRI study
URI https://link.springer.com/article/10.1186/s10194-019-0986-z
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Volume 20
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