Resting state functional connectivity of the pain matrix and default mode network in irritable bowel syndrome: a graph theoretical analysis

Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy controls (HCs) have been demonstrated, particularly in the pain matrix and the default mode network. This study aims to compare resting-state f...

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Published inScientific reports Vol. 10; no. 1; p. 11015
Main Authors Kano, Michiko, Grinsvall, Cecilia, Ran, Qian, Dupont, Patrick, Morishita, Joe, Muratsubaki, Tomohiko, Mugikura, Shunji, Ly, Huynh Giao, Törnblom, Hans, Ljungberg, Maria, Takase, Kei, Simrén, Magnus, Van Oudenhove, Lukas, Fukudo, Shin
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 03.07.2020
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Abstract Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy controls (HCs) have been demonstrated, particularly in the pain matrix and the default mode network. This study aims to compare resting-state functional properties of these networks between IBS patients and HCs using graph analysis in two independent cohorts. We used a weighted graph analysis of the adjacency matrix based on partial correlations between time series in the different regions in each subject to determine subject specific graph measures. These graph measures were normalized by values obtained in equivalent random networks. We did not find any significant differences between IBS patients and controls in global normalized graph measures, hubs, or modularity structure of the pain matrix and the DMN in any of our two independent cohorts. Furthermore, we did not find consistent associations between these global network measures and IBS symptom severity or GI-specific anxiety but we found a significant difference in the relationship between measures of psychological distress (anxiety and/or depressive symptoms) and normalized characteristic path length. The responses of these networks to visceral stimulation rather than their organisation at rest may be primarily disturbed in IBS.
AbstractList Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy controls (HCs) have been demonstrated, particularly in the pain matrix and the default mode network. This study aims to compare resting-state functional properties of these networks between IBS patients and HCs using graph analysis in two independent cohorts. We used a weighted graph analysis of the adjacency matrix based on partial correlations between time series in the different regions in each subject to determine subject specific graph measures. These graph measures were normalized by values obtained in equivalent random networks. We did not find any significant differences between IBS patients and controls in global normalized graph measures, hubs, or modularity structure of the pain matrix and the DMN in any of our two independent cohorts. Furthermore, we did not find consistent associations between these global network measures and IBS symptom severity or GI-specific anxiety but we found a significant difference in the relationship between measures of psychological distress (anxiety and/or depressive symptoms) and normalized characteristic path length. The responses of these networks to visceral stimulation rather than their organisation at rest may be primarily disturbed in IBS.
Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy controls (HCs) have been demonstrated, particularly in the pain matrix and the default mode network. This study aims to compare resting-state functional properties of these networks between IBS patients and HCs using graph analysis in two independent cohorts. We used a weighted graph analysis of the adjacency matrix based on partial correlations between time series in the different regions in each subject to determine subject specific graph measures. These graph measures were normalized by values obtained in equivalent random networks. We did not find any significant differences between IBS patients and controls in global normalized graph measures, hubs, or modularity structure of the pain matrix and the DMN in any of our two independent cohorts. Furthermore, we did not find consistent associations between these global network measures and IBS symptom severity or GI-specific anxiety but we found a significant difference in the relationship between measures of psychological distress (anxiety and/or depressive symptoms) and normalized characteristic path length. The responses of these networks to visceral stimulation rather than their organisation at rest may be primarily disturbed in IBS.Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy controls (HCs) have been demonstrated, particularly in the pain matrix and the default mode network. This study aims to compare resting-state functional properties of these networks between IBS patients and HCs using graph analysis in two independent cohorts. We used a weighted graph analysis of the adjacency matrix based on partial correlations between time series in the different regions in each subject to determine subject specific graph measures. These graph measures were normalized by values obtained in equivalent random networks. We did not find any significant differences between IBS patients and controls in global normalized graph measures, hubs, or modularity structure of the pain matrix and the DMN in any of our two independent cohorts. Furthermore, we did not find consistent associations between these global network measures and IBS symptom severity or GI-specific anxiety but we found a significant difference in the relationship between measures of psychological distress (anxiety and/or depressive symptoms) and normalized characteristic path length. The responses of these networks to visceral stimulation rather than their organisation at rest may be primarily disturbed in IBS.
ArticleNumber 11015
Author Ly, Huynh Giao
Van Oudenhove, Lukas
Muratsubaki, Tomohiko
Simrén, Magnus
Ljungberg, Maria
Fukudo, Shin
Kano, Michiko
Takase, Kei
Morishita, Joe
Grinsvall, Cecilia
Ran, Qian
Mugikura, Shunji
Törnblom, Hans
Dupont, Patrick
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  organization: Sukawa clinic, Kirari health coop, Behavioral Medicine, Graduate School of Medicine, Tohoku University, Psychosomatic Medicine, Tohoku University Hospital
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  givenname: Cecilia
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  organization: Department of Internal Medicine & Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
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  organization: Laboratory for Cognitive Neurology, KU Leuven
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  fullname: Törnblom, Hans
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  orcidid: 0000-0001-8991-2353
  surname: Ljungberg
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  organization: Behavioral Medicine, Graduate School of Medicine, Tohoku University, Psychosomatic Medicine, Tohoku University Hospital
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Snippet Irritable bowel syndrome (IBS) is a functional disorder of brain-gut interactions. Differential brain responses to rectal distention between IBS and healthy...
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631/378/2620/410/2610
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abdominal-pain
Anxiety
brain connectivity
Case-Control Studies
Connectome - methods
depression
Female
fmri
Humanities and Social Sciences
Humans
ibs
Intestine
Irritable bowel syndrome
Irritable Bowel Syndrome - diagnostic imaging
Irritable Bowel Syndrome - physiopathology
Magnetic Resonance Imaging
Male
multidisciplinary
Neural networks
Neurosciences
Neurovetenskaper
Pain
Pain - diagnostic imaging
Pain - physiopathology
parcellation
rectal distension
Rectum
Rest
scale
Science
Science & Technology - Other Topics
Science (multidisciplinary)
Theoretical analysis
validation
visceral sensitivity
Young Adult
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Title Resting state functional connectivity of the pain matrix and default mode network in irritable bowel syndrome: a graph theoretical analysis
URI https://link.springer.com/article/10.1038/s41598-020-67048-9
https://www.ncbi.nlm.nih.gov/pubmed/32620938
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https://gup.ub.gu.se/publication/295072
Volume 10
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