Reorganization of functional brain network architecture in chronic osteoarthritis pain

Osteoarthritis (OA) manifests with chronic pain, motor impairment, and proprioceptive changes. However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in a large sample of knee and hip OA (KOA, n = 91; HOA, n = 23)...

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Veröffentlicht in:Human brain mapping 2021-03, Vol.42 (4), p.1206-1222
Hauptverfasser: Barroso, Joana, Wakaizumi, Kenta, Reis, Ana Mafalda, Baliki, Marwan, Schnitzer, Thomas J., Galhardo, Vasco, Apkarian, Apkar Vania
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container_end_page 1222
container_issue 4
container_start_page 1206
container_title Human brain mapping
container_volume 42
creator Barroso, Joana
Wakaizumi, Kenta
Reis, Ana Mafalda
Baliki, Marwan
Schnitzer, Thomas J.
Galhardo, Vasco
Apkarian, Apkar Vania
description Osteoarthritis (OA) manifests with chronic pain, motor impairment, and proprioceptive changes. However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in a large sample of knee and hip OA (KOA, n = 91; HOA, n = 23) patients. We used a robust validation strategy by subdividing the KOA data into discovery and testing groups and tested the generalizability of our findings in HOA. Despite brain global topological properties being conserved in OA, we show there is a network wide pattern of reorganization that can be captured at the subject‐level by a single measure, the hub disruption index. We localized reorganization patterns and uncovered a shift in the hierarchy of network hubs in OA: primary sensory and motor regions and parahippocampal gyrus behave as hubs and insular cortex loses its central placement. At an intermediate level of network structure, frontoparietal and cingulo‐opercular modules showed preferential reorganization. We examined the association between network properties and clinical correlates: global disruption indices and isolated degree properties did not reflect clinical parameters; however, by modeling whole brain nodal degree properties, we identified a distributed set of regions that reliably predicted pain intensity in KOA and generalized to hip OA. Together, our findings reveal that while conserving global topological properties, brain network architecture reorganizes in OA, at both global and local scale. Network connectivity related to OA pain intensity is dissociated from the major hub disruptions, challenging the extent of dependence of OA pain on nociceptive signaling. Osteoarthritis (OA) manifests with chronic pain, motor impairment and proprioceptive changes. However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in knee and hip OA. We show that while conserving global topological properties, brain network architecture reorganizes in OA, at both global and local scale. Network connectivity related to OA pain intensity is dissociated from the major hub disruptions found:insula/M1/S1/parahippocampus; challenging the extent of dependence of OA pain on nociceptive signaling.
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However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in a large sample of knee and hip OA (KOA, n = 91; HOA, n = 23) patients. We used a robust validation strategy by subdividing the KOA data into discovery and testing groups and tested the generalizability of our findings in HOA. Despite brain global topological properties being conserved in OA, we show there is a network wide pattern of reorganization that can be captured at the subject‐level by a single measure, the hub disruption index. We localized reorganization patterns and uncovered a shift in the hierarchy of network hubs in OA: primary sensory and motor regions and parahippocampal gyrus behave as hubs and insular cortex loses its central placement. At an intermediate level of network structure, frontoparietal and cingulo‐opercular modules showed preferential reorganization. We examined the association between network properties and clinical correlates: global disruption indices and isolated degree properties did not reflect clinical parameters; however, by modeling whole brain nodal degree properties, we identified a distributed set of regions that reliably predicted pain intensity in KOA and generalized to hip OA. Together, our findings reveal that while conserving global topological properties, brain network architecture reorganizes in OA, at both global and local scale. Network connectivity related to OA pain intensity is dissociated from the major hub disruptions, challenging the extent of dependence of OA pain on nociceptive signaling. Osteoarthritis (OA) manifests with chronic pain, motor impairment and proprioceptive changes. However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in knee and hip OA. 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However, the role of the brain in the disease is largely unknown. Here, we studied brain networks using the mathematical properties of graphs in a large sample of knee and hip OA (KOA, n = 91; HOA, n = 23) patients. We used a robust validation strategy by subdividing the KOA data into discovery and testing groups and tested the generalizability of our findings in HOA. Despite brain global topological properties being conserved in OA, we show there is a network wide pattern of reorganization that can be captured at the subject‐level by a single measure, the hub disruption index. We localized reorganization patterns and uncovered a shift in the hierarchy of network hubs in OA: primary sensory and motor regions and parahippocampal gyrus behave as hubs and insular cortex loses its central placement. At an intermediate level of network structure, frontoparietal and cingulo‐opercular modules showed preferential reorganization. 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We show that while conserving global topological properties, brain network architecture reorganizes in OA, at both global and local scale. Network connectivity related to OA pain intensity is dissociated from the major hub disruptions found:insula/M1/S1/parahippocampus; challenging the extent of dependence of OA pain on nociceptive signaling.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>33210801</pmid><doi>10.1002/hbm.25287</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-9788-7458</orcidid><oa>free_for_read</oa></addata></record>
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subjects Aged
Arthralgia - diagnostic imaging
Arthralgia - etiology
Arthralgia - physiopathology
Arthritis
Biomedical materials
Brain
Brain architecture
brain networks
brain topology
Cerebral Cortex - diagnostic imaging
Cerebral Cortex - physiopathology
Chronic pain
Chronic Pain - diagnostic imaging
Chronic Pain - etiology
Chronic Pain - physiopathology
Computer architecture
Connectome
Cortex (insular)
Cortex (somatosensory)
Disruption
Female
graph properties
Hip
Hubs
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Nerve Net - diagnostic imaging
Nerve Net - physiopathology
Network hubs
Neural networks
Osteoarthritis
Osteoarthritis, Hip - complications
Osteoarthritis, Hip - physiopathology
Osteoarthritis, Knee - complications
Osteoarthritis, Knee - physiopathology
Pain
Pain perception
Parahippocampal gyrus
Parameter identification
Properties (attributes)
Proprioception
Robustness (mathematics)
Topology
title Reorganization of functional brain network architecture in chronic osteoarthritis pain
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