Visuo-vestibular and cognitive connections of the vestibular neuromatrix are conserved across age and injury populations
Given the prevalence of vestibular dysfunction in pediatric concussion, there is a need to better understand pathophysiological disruptions within vestibular and associated cognitive, affective, and sensory-integrative networks. Although current research leverages established intrinsic connectivity...
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Veröffentlicht in: | Journal of neuroimaging 2023-11, Vol.33 (6), p.1003-1014 |
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creator | Smith, Jeremy L Diekfuss, Jed A Dudley, Jonathan A Ahluwalia, Vishwadeep Zuleger, Taylor M Slutsky-Ganesh, Alexis B Yuan, Weihong Foss, Kim D Barber Gore, Russell K Myer, Gregory D Allen, Jason W |
description | Given the prevalence of vestibular dysfunction in pediatric concussion, there is a need to better understand pathophysiological disruptions within vestibular and associated cognitive, affective, and sensory-integrative networks. Although current research leverages established intrinsic connectivity networks, these are nonspecific for vestibular function, suggesting that a pathologically guided approach is warranted. The purpose of this study was to evaluate the generalizability of the previously identified "vestibular neuromatrix" in adults with and without postconcussive vestibular dysfunction to young athletes aged 14-17.
This retrospective study leveraged resting-state functional MRI data from two sites. Site A included adults with diagnosed postconcussive vestibular impairment and healthy adult controls and Site B consisted of young athletes with preseason, postconcussion, and postseason time points (prospective longitudinal data). Adjacency matrices were generated from preprocessed resting-state data from each sample and assessed for overlap and network structure in MATLAB.
Analyses indicated the presence of a conserved "core" network of vestibular regions as well as areas subserving visual, spatial, and attentional processing. Other vestibular connections were also conserved across samples but were not linked to the "core" subnetwork by regions of interest included in this study.
Our results suggest that connections between central vestibular, visuospatial, and known intrinsic connectivity networks are conserved across adult and pediatric participants with and without concussion, evincing the significance of this expanded, vestibular-associated network. Our findings thus support this network as a workable model for investigation in future studies of dysfunction in young athlete populations. |
doi_str_mv | 10.1111/jon.13136 |
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This retrospective study leveraged resting-state functional MRI data from two sites. Site A included adults with diagnosed postconcussive vestibular impairment and healthy adult controls and Site B consisted of young athletes with preseason, postconcussion, and postseason time points (prospective longitudinal data). Adjacency matrices were generated from preprocessed resting-state data from each sample and assessed for overlap and network structure in MATLAB.
Analyses indicated the presence of a conserved "core" network of vestibular regions as well as areas subserving visual, spatial, and attentional processing. Other vestibular connections were also conserved across samples but were not linked to the "core" subnetwork by regions of interest included in this study.
Our results suggest that connections between central vestibular, visuospatial, and known intrinsic connectivity networks are conserved across adult and pediatric participants with and without concussion, evincing the significance of this expanded, vestibular-associated network. Our findings thus support this network as a workable model for investigation in future studies of dysfunction in young athlete populations.</description><identifier>ISSN: 1051-2284</identifier><identifier>ISSN: 1552-6569</identifier><identifier>EISSN: 1552-6569</identifier><identifier>DOI: 10.1111/jon.13136</identifier><identifier>PMID: 37303280</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adult ; Adults ; Athletes ; Brain Concussion - diagnostic imaging ; Child ; Cognition ; Cognitive ability ; Concussion ; Functional magnetic resonance imaging ; Humans ; Information processing ; Magnetic Resonance Imaging - methods ; Networks ; Neural networks ; Neuroimaging ; Pediatrics ; Populations ; Prospective Studies ; Retrospective Studies ; Vestibular system</subject><ispartof>Journal of neuroimaging, 2023-11, Vol.33 (6), p.1003-1014</ispartof><rights>2023 American Society of Neuroimaging.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-9e3b2b31c806cdc0d38221d02bd3f6fd01b193127427c9d5abe41967e6ee87163</citedby><cites>FETCH-LOGICAL-c313t-9e3b2b31c806cdc0d38221d02bd3f6fd01b193127427c9d5abe41967e6ee87163</cites><orcidid>0000-0002-4622-4005 ; 0000-0003-0841-5297</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37303280$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Smith, Jeremy L</creatorcontrib><creatorcontrib>Diekfuss, Jed A</creatorcontrib><creatorcontrib>Dudley, Jonathan A</creatorcontrib><creatorcontrib>Ahluwalia, Vishwadeep</creatorcontrib><creatorcontrib>Zuleger, Taylor M</creatorcontrib><creatorcontrib>Slutsky-Ganesh, Alexis B</creatorcontrib><creatorcontrib>Yuan, Weihong</creatorcontrib><creatorcontrib>Foss, Kim D Barber</creatorcontrib><creatorcontrib>Gore, Russell K</creatorcontrib><creatorcontrib>Myer, Gregory D</creatorcontrib><creatorcontrib>Allen, Jason W</creatorcontrib><title>Visuo-vestibular and cognitive connections of the vestibular neuromatrix are conserved across age and injury populations</title><title>Journal of neuroimaging</title><addtitle>J Neuroimaging</addtitle><description>Given the prevalence of vestibular dysfunction in pediatric concussion, there is a need to better understand pathophysiological disruptions within vestibular and associated cognitive, affective, and sensory-integrative networks. Although current research leverages established intrinsic connectivity networks, these are nonspecific for vestibular function, suggesting that a pathologically guided approach is warranted. The purpose of this study was to evaluate the generalizability of the previously identified "vestibular neuromatrix" in adults with and without postconcussive vestibular dysfunction to young athletes aged 14-17.
This retrospective study leveraged resting-state functional MRI data from two sites. Site A included adults with diagnosed postconcussive vestibular impairment and healthy adult controls and Site B consisted of young athletes with preseason, postconcussion, and postseason time points (prospective longitudinal data). Adjacency matrices were generated from preprocessed resting-state data from each sample and assessed for overlap and network structure in MATLAB.
Analyses indicated the presence of a conserved "core" network of vestibular regions as well as areas subserving visual, spatial, and attentional processing. Other vestibular connections were also conserved across samples but were not linked to the "core" subnetwork by regions of interest included in this study.
Our results suggest that connections between central vestibular, visuospatial, and known intrinsic connectivity networks are conserved across adult and pediatric participants with and without concussion, evincing the significance of this expanded, vestibular-associated network. Our findings thus support this network as a workable model for investigation in future studies of dysfunction in young athlete populations.</description><subject>Adult</subject><subject>Adults</subject><subject>Athletes</subject><subject>Brain Concussion - diagnostic imaging</subject><subject>Child</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Concussion</subject><subject>Functional magnetic resonance imaging</subject><subject>Humans</subject><subject>Information processing</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Pediatrics</subject><subject>Populations</subject><subject>Prospective Studies</subject><subject>Retrospective Studies</subject><subject>Vestibular system</subject><issn>1051-2284</issn><issn>1552-6569</issn><issn>1552-6569</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1PwzAMhiMEYjA48AdQJC5w6MjHmrZHNPElTeICXKs0cUemNhlJO23_ntANhPDFPjx-_dpG6IKSCY1xu3R2Qjnl4gCd0DRliUhFcRhrktKEsXw6QqchLAlhdMr4MRrxjBPOcnKCNu8m9C5ZQ-hM1TfSY2k1Vm5hTWfWECtrQXXG2YBdjbsPwH9YC713rey82WDpBzqAX4PGUnkXApYLGASNXfZ-i1duFfsGtTN0VMsmwPk-j9Hbw_3r7CmZvzw-z-7miYoLdUkBvGIVpyonQmlFNM8Zo5qwSvNa1JrQihacsmzKMlXoVFYwpYXIQADkGRV8jK53uivvPvtovWxNUNA00oLrQ8lyltI0y0UW0at_6NL13kZ3kcozlpI4JFI3O2rY0ENdrrxppd-WlJTf74hdthzeEdnLvWJftaB_yZ_78y_K6IdD</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Smith, Jeremy L</creator><creator>Diekfuss, Jed A</creator><creator>Dudley, Jonathan A</creator><creator>Ahluwalia, Vishwadeep</creator><creator>Zuleger, Taylor M</creator><creator>Slutsky-Ganesh, Alexis B</creator><creator>Yuan, Weihong</creator><creator>Foss, Kim D Barber</creator><creator>Gore, Russell K</creator><creator>Myer, Gregory D</creator><creator>Allen, Jason W</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4622-4005</orcidid><orcidid>https://orcid.org/0000-0003-0841-5297</orcidid></search><sort><creationdate>202311</creationdate><title>Visuo-vestibular and cognitive connections of the vestibular neuromatrix are conserved across age and injury populations</title><author>Smith, Jeremy L ; Diekfuss, Jed A ; Dudley, Jonathan A ; Ahluwalia, Vishwadeep ; Zuleger, Taylor M ; Slutsky-Ganesh, Alexis B ; Yuan, Weihong ; Foss, Kim D Barber ; Gore, Russell K ; Myer, Gregory D ; Allen, Jason W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-9e3b2b31c806cdc0d38221d02bd3f6fd01b193127427c9d5abe41967e6ee87163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Athletes</topic><topic>Brain Concussion - diagnostic imaging</topic><topic>Child</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Concussion</topic><topic>Functional magnetic resonance imaging</topic><topic>Humans</topic><topic>Information processing</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Networks</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Pediatrics</topic><topic>Populations</topic><topic>Prospective Studies</topic><topic>Retrospective Studies</topic><topic>Vestibular system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, Jeremy L</creatorcontrib><creatorcontrib>Diekfuss, Jed A</creatorcontrib><creatorcontrib>Dudley, Jonathan A</creatorcontrib><creatorcontrib>Ahluwalia, Vishwadeep</creatorcontrib><creatorcontrib>Zuleger, Taylor M</creatorcontrib><creatorcontrib>Slutsky-Ganesh, Alexis B</creatorcontrib><creatorcontrib>Yuan, Weihong</creatorcontrib><creatorcontrib>Foss, Kim D Barber</creatorcontrib><creatorcontrib>Gore, Russell K</creatorcontrib><creatorcontrib>Myer, Gregory D</creatorcontrib><creatorcontrib>Allen, Jason W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smith, Jeremy L</au><au>Diekfuss, Jed A</au><au>Dudley, Jonathan A</au><au>Ahluwalia, Vishwadeep</au><au>Zuleger, Taylor M</au><au>Slutsky-Ganesh, Alexis B</au><au>Yuan, Weihong</au><au>Foss, Kim D Barber</au><au>Gore, Russell K</au><au>Myer, Gregory D</au><au>Allen, Jason W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visuo-vestibular and cognitive connections of the vestibular neuromatrix are conserved across age and injury populations</atitle><jtitle>Journal of neuroimaging</jtitle><addtitle>J Neuroimaging</addtitle><date>2023-11</date><risdate>2023</risdate><volume>33</volume><issue>6</issue><spage>1003</spage><epage>1014</epage><pages>1003-1014</pages><issn>1051-2284</issn><issn>1552-6569</issn><eissn>1552-6569</eissn><abstract>Given the prevalence of vestibular dysfunction in pediatric concussion, there is a need to better understand pathophysiological disruptions within vestibular and associated cognitive, affective, and sensory-integrative networks. Although current research leverages established intrinsic connectivity networks, these are nonspecific for vestibular function, suggesting that a pathologically guided approach is warranted. The purpose of this study was to evaluate the generalizability of the previously identified "vestibular neuromatrix" in adults with and without postconcussive vestibular dysfunction to young athletes aged 14-17.
This retrospective study leveraged resting-state functional MRI data from two sites. Site A included adults with diagnosed postconcussive vestibular impairment and healthy adult controls and Site B consisted of young athletes with preseason, postconcussion, and postseason time points (prospective longitudinal data). Adjacency matrices were generated from preprocessed resting-state data from each sample and assessed for overlap and network structure in MATLAB.
Analyses indicated the presence of a conserved "core" network of vestibular regions as well as areas subserving visual, spatial, and attentional processing. Other vestibular connections were also conserved across samples but were not linked to the "core" subnetwork by regions of interest included in this study.
Our results suggest that connections between central vestibular, visuospatial, and known intrinsic connectivity networks are conserved across adult and pediatric participants with and without concussion, evincing the significance of this expanded, vestibular-associated network. Our findings thus support this network as a workable model for investigation in future studies of dysfunction in young athlete populations.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37303280</pmid><doi>10.1111/jon.13136</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4622-4005</orcidid><orcidid>https://orcid.org/0000-0003-0841-5297</orcidid></addata></record> |
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subjects | Adult Adults Athletes Brain Concussion - diagnostic imaging Child Cognition Cognitive ability Concussion Functional magnetic resonance imaging Humans Information processing Magnetic Resonance Imaging - methods Networks Neural networks Neuroimaging Pediatrics Populations Prospective Studies Retrospective Studies Vestibular system |
title | Visuo-vestibular and cognitive connections of the vestibular neuromatrix are conserved across age and injury populations |
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