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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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. |
doi_str_mv | 10.1002/hbm.25287 |
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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.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.25287</identifier><identifier>PMID: 33210801</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>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</subject><ispartof>Human brain mapping, 2021-03, Vol.42 (4), p.1206-1222</ispartof><rights>2020 The Authors. published by Wiley Periodicals LLC.</rights><rights>2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.</rights><rights>COPYRIGHT 2020 John Wiley & Sons, Inc.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5377-d7433d833f553851f8a07be1a11e861e2d9eb5747b955ea8840a4bea502792173</citedby><cites>FETCH-LOGICAL-c5377-d7433d833f553851f8a07be1a11e861e2d9eb5747b955ea8840a4bea502792173</cites><orcidid>0000-0002-9788-7458</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856636/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856636/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,1417,11562,27924,27925,45574,45575,46052,46476,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33210801$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barroso, Joana</creatorcontrib><creatorcontrib>Wakaizumi, Kenta</creatorcontrib><creatorcontrib>Reis, Ana Mafalda</creatorcontrib><creatorcontrib>Baliki, Marwan</creatorcontrib><creatorcontrib>Schnitzer, Thomas J.</creatorcontrib><creatorcontrib>Galhardo, Vasco</creatorcontrib><creatorcontrib>Apkarian, Apkar Vania</creatorcontrib><title>Reorganization of functional brain network architecture in chronic osteoarthritis pain</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><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. 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Wakaizumi, Kenta ; Reis, Ana Mafalda ; Baliki, Marwan ; Schnitzer, Thomas J. ; Galhardo, Vasco ; Apkarian, Apkar Vania</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5377-d7433d833f553851f8a07be1a11e861e2d9eb5747b955ea8840a4bea502792173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Arthralgia - diagnostic imaging</topic><topic>Arthralgia - etiology</topic><topic>Arthralgia - physiopathology</topic><topic>Arthritis</topic><topic>Biomedical materials</topic><topic>Brain</topic><topic>Brain architecture</topic><topic>brain networks</topic><topic>brain topology</topic><topic>Cerebral Cortex - diagnostic imaging</topic><topic>Cerebral Cortex - physiopathology</topic><topic>Chronic pain</topic><topic>Chronic Pain - diagnostic imaging</topic><topic>Chronic Pain - etiology</topic><topic>Chronic Pain - physiopathology</topic><topic>Computer architecture</topic><topic>Connectome</topic><topic>Cortex (insular)</topic><topic>Cortex (somatosensory)</topic><topic>Disruption</topic><topic>Female</topic><topic>graph properties</topic><topic>Hip</topic><topic>Hubs</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>Network hubs</topic><topic>Neural networks</topic><topic>Osteoarthritis</topic><topic>Osteoarthritis, Hip - complications</topic><topic>Osteoarthritis, Hip - physiopathology</topic><topic>Osteoarthritis, Knee - complications</topic><topic>Osteoarthritis, Knee - physiopathology</topic><topic>Pain</topic><topic>Pain perception</topic><topic>Parahippocampal gyrus</topic><topic>Parameter identification</topic><topic>Properties (attributes)</topic><topic>Proprioception</topic><topic>Robustness (mathematics)</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barroso, Joana</creatorcontrib><creatorcontrib>Wakaizumi, Kenta</creatorcontrib><creatorcontrib>Reis, Ana Mafalda</creatorcontrib><creatorcontrib>Baliki, Marwan</creatorcontrib><creatorcontrib>Schnitzer, Thomas J.</creatorcontrib><creatorcontrib>Galhardo, Vasco</creatorcontrib><creatorcontrib>Apkarian, Apkar Vania</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barroso, Joana</au><au>Wakaizumi, Kenta</au><au>Reis, Ana Mafalda</au><au>Baliki, Marwan</au><au>Schnitzer, Thomas J.</au><au>Galhardo, Vasco</au><au>Apkarian, Apkar Vania</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reorganization of functional brain network architecture in chronic osteoarthritis pain</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2021-03</date><risdate>2021</risdate><volume>42</volume><issue>4</issue><spage>1206</spage><epage>1222</epage><pages>1206-1222</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>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.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & 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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