Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds

Pain thresholds vary considerably across individuals and are influenced by a number of behavioral, genetic and neurobiological factors. However, the neurobiological underpinnings that account for individual differences remain to be fully elucidated. In this study, we used voxel-based morphometry (VB...

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Bibliographic Details
Main Authors: Bingel, U. (Author), Neumann, L. (Author), Schmidt-Wilcke, T. (Author), Spisak, T. (Author), Witte, V. (Author), Wulms, N. (Author), Zunhammer, M. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03697nam a2200673Ia 4500
001 10.1002-hbm.25588
008 220427s2021 CNT 000 0 und d
020 |a 10659471 (ISSN) 
245 1 0 |a Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds 
260 0 |b John Wiley and Sons Inc  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1002/hbm.25588 
520 3 |a Pain thresholds vary considerably across individuals and are influenced by a number of behavioral, genetic and neurobiological factors. However, the neurobiological underpinnings that account for individual differences remain to be fully elucidated. In this study, we used voxel-based morphometry (VBM) and graph theory, specifically the local clustering coefficient (CC) based on resting-state connectivity, to identify brain regions, where regional gray matter volume and network properties predicted individual pain thresholds. As a main finding, we identified a cluster in the left posterior insular cortex (IC) reaching into the left parietal operculum, including the secondary somatosensory cortex, where both regional gray matter volume and the local CC correlated with individual pain thresholds. We also performed a resting-state functional connectivity analysis using the left posterior IC as seed region, demonstrating that connectivity to the pre- as well as postcentral gyrus bilaterally; that is, to the motor and primary sensory cortices were correlated with individual pain thresholds. To our knowledge, this is the first study that applied VBM in combination with voxel-based graph theory in the context of pain thresholds. The co-location of the VBM and the local CC cluster provide first evidence that both structure and function map to the same brain region while being correlated with the same behavioral measure; that is, pain thresholds. The study highlights the importance of the posterior IC, not only for pain perception in general, but also for the determination of individual pain thresholds. © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. 
650 0 4 |a adult 
650 0 4 |a Adult 
650 0 4 |a anatomy and histology 
650 0 4 |a article 
650 0 4 |a biological variation 
650 0 4 |a Biological Variation, Individual 
650 0 4 |a brain region 
650 0 4 |a cluster coefficient 
650 0 4 |a connectome 
650 0 4 |a Connectome 
650 0 4 |a diagnostic imaging 
650 0 4 |a functional connectivity 
650 0 4 |a functional magnetic resonance imaging 
650 0 4 |a graph theory 
650 0 4 |a gray matter volume 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a insula 
650 0 4 |a insula 
650 0 4 |a Insular Cortex 
650 0 4 |a Magnetic Resonance Imaging 
650 0 4 |a nuclear magnetic resonance imaging 
650 0 4 |a pain 
650 0 4 |a pain threshold 
650 0 4 |a pain threshold 
650 0 4 |a Pain Threshold 
650 0 4 |a parietal operculum 
650 0 4 |a physiology 
650 0 4 |a plant seed 
650 0 4 |a postcentral gyrus 
650 0 4 |a primary somatosensory cortex 
650 0 4 |a resting-state fMRI 
650 0 4 |a secondary somatosensory cortex 
650 0 4 |a structure activity relation 
650 0 4 |a theoretical study 
650 0 4 |a voxel based morphometry 
650 0 4 |a voxel-based morphometry 
650 0 4 |a young adult 
650 0 4 |a Young Adult 
700 1 |a Bingel, U.  |e author 
700 1 |a Neumann, L.  |e author 
700 1 |a Schmidt-Wilcke, T.  |e author 
700 1 |a Spisak, T.  |e author 
700 1 |a Witte, V.  |e author 
700 1 |a Wulms, N.  |e author 
700 1 |a Zunhammer, M.  |e author 
773 |t Human Brain Mapping