Loading…
Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome
Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-...
Saved in:
Published in: | Brain (London, England : 1878) England : 1878), 2020-08, Vol.143 (8), p.2607-2623 |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133 |
---|---|
cites | cdi_FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133 |
container_end_page | 2623 |
container_issue | 8 |
container_start_page | 2607 |
container_title | Brain (London, England : 1878) |
container_volume | 143 |
creator | Johnson, Kara A Duffley, Gordon Anderson, Daria Nesterovich Ostrem, Jill L Welter, Marie-Laure Baldermann, Juan Carlos Kuhn, Jens Huys, Daniel Visser-Vandewalle, Veerle Foltynie, Thomas Zrinzo, Ludvic Hariz, Marwan Leentjens, Albert F G Mogilner, Alon Y Pourfar, Michael H Almeida, Leonardo Gunduz, Aysegul Foote, Kelly D Okun, Michael S Butson, Christopher R |
description | Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate 'reverse' tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), bu |
doi_str_mv | 10.1093/brain/awaa188 |
format | article |
fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_umu_176110</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2423516037</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133</originalsourceid><addsrcrecordid>eNpdkctv1DAQxi0EokvpkSvyEQ6hfibxBWnVB620EgdKr5bjTFqjxF782Gr_e7LdpaVcPJLn932jmQ-hD5R8oUTx0y4a50_NgzG0bV-hBRU1qRiV9Wu0IITUVaskOULvUvpFCBWc1W_R0fxKrhhZoO5HjsXmEs2IbfAebHYbl7d4HaF3NidsR-ednduhZBsmSDgMuAdY48fROGU3ldFkFzweQsQ3oUTIGXDa-j7OgvfozWDGBCeHeox-Xl7cnF1Vq-_frs-Wq8oKSmhlGta1EjrFYVAglVCqBgK2lx2lnPcdsM7aYQAFfWuoJQMXDWtJLYZmRjg_RtXeNz3AunR6Hd1k4lYH4_S5u13qEO90mYqmTU0pmfmve36GJ-gt-Dxf4YXsZce7e30XNroRopFsZ_B5b3D_n-xqudK7PyJkI-qWb-jMfjoMi-F3gZT15JKFcTQeQkmaCcYlrQlvnvewMaQUYXjypkTvMtePh9eHzGf-4797PNF_Q-Z_ABCprS4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2423516037</pqid></control><display><type>article</type><title>Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome</title><source>Oxford Journals Online</source><creator>Johnson, Kara A ; Duffley, Gordon ; Anderson, Daria Nesterovich ; Ostrem, Jill L ; Welter, Marie-Laure ; Baldermann, Juan Carlos ; Kuhn, Jens ; Huys, Daniel ; Visser-Vandewalle, Veerle ; Foltynie, Thomas ; Zrinzo, Ludvic ; Hariz, Marwan ; Leentjens, Albert F G ; Mogilner, Alon Y ; Pourfar, Michael H ; Almeida, Leonardo ; Gunduz, Aysegul ; Foote, Kelly D ; Okun, Michael S ; Butson, Christopher R</creator><creatorcontrib>Johnson, Kara A ; Duffley, Gordon ; Anderson, Daria Nesterovich ; Ostrem, Jill L ; Welter, Marie-Laure ; Baldermann, Juan Carlos ; Kuhn, Jens ; Huys, Daniel ; Visser-Vandewalle, Veerle ; Foltynie, Thomas ; Zrinzo, Ludvic ; Hariz, Marwan ; Leentjens, Albert F G ; Mogilner, Alon Y ; Pourfar, Michael H ; Almeida, Leonardo ; Gunduz, Aysegul ; Foote, Kelly D ; Okun, Michael S ; Butson, Christopher R</creatorcontrib><description>Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate 'reverse' tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P < 0.017). For centromedial thalamus, connectivity to sensorimotor networks, parietal-temporal-occipital networks, putamen, and cerebellum was positively correlated with tic improvement; the model predicted clinical improvement scores (P = 0.012) and was robust to cross-validation. Regions in the anterior/lateral centromedial thalamus exhibited higher connectivity to the positively correlated networks, but volume of tissue activated overlap with this map did not predict improvement (P > 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), but the model was not robust to cross-validation. Collectively, the results demonstrate that the structural connectivity of the site of stimulation are likely important for mediating symptom improvement, and the networks involved in tic improvement may differ across surgical targets. These networks provide important insight on potential mechanisms and could be used to guide lead placement and stimulation parameter selection, as well as refine targets for neuromodulation therapies for Tourette syndrome.</description><identifier>ISSN: 0006-8950</identifier><identifier>ISSN: 1460-2156</identifier><identifier>EISSN: 1460-2156</identifier><identifier>DOI: 10.1093/brain/awaa188</identifier><identifier>PMID: 32653920</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Brain - diagnostic imaging ; Brain - physiopathology ; cortico-striato-thalamo-cortical networks ; Deep Brain Stimulation - methods ; Diffusion Tensor Imaging ; Female ; Human health and pathology ; Humans ; Image Interpretation, Computer-Assisted ; Life Sciences ; Male ; Middle Aged ; Nerve Net - diagnostic imaging ; Nerve Net - physiopathology ; neuromodulation ; obsessive-compulsive behaviour ; Original ; Retrospective Studies ; tics ; Tourette Syndrome - diagnostic imaging ; Tourette Syndrome - physiopathology ; Tourette Syndrome - therapy ; tractography ; Treatment Outcome</subject><ispartof>Brain (London, England : 1878), 2020-08, Vol.143 (8), p.2607-2623</ispartof><rights>The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133</citedby><cites>FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133</cites><orcidid>0000-0003-0966-0294 ; 0000-0002-9093-7504 ; 0000-0001-6556-8957 ; 0000-0001-7925-0747</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32653920$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-04574683$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-176110$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, Kara A</creatorcontrib><creatorcontrib>Duffley, Gordon</creatorcontrib><creatorcontrib>Anderson, Daria Nesterovich</creatorcontrib><creatorcontrib>Ostrem, Jill L</creatorcontrib><creatorcontrib>Welter, Marie-Laure</creatorcontrib><creatorcontrib>Baldermann, Juan Carlos</creatorcontrib><creatorcontrib>Kuhn, Jens</creatorcontrib><creatorcontrib>Huys, Daniel</creatorcontrib><creatorcontrib>Visser-Vandewalle, Veerle</creatorcontrib><creatorcontrib>Foltynie, Thomas</creatorcontrib><creatorcontrib>Zrinzo, Ludvic</creatorcontrib><creatorcontrib>Hariz, Marwan</creatorcontrib><creatorcontrib>Leentjens, Albert F G</creatorcontrib><creatorcontrib>Mogilner, Alon Y</creatorcontrib><creatorcontrib>Pourfar, Michael H</creatorcontrib><creatorcontrib>Almeida, Leonardo</creatorcontrib><creatorcontrib>Gunduz, Aysegul</creatorcontrib><creatorcontrib>Foote, Kelly D</creatorcontrib><creatorcontrib>Okun, Michael S</creatorcontrib><creatorcontrib>Butson, Christopher R</creatorcontrib><title>Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome</title><title>Brain (London, England : 1878)</title><addtitle>Brain</addtitle><description>Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate 'reverse' tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P < 0.017). For centromedial thalamus, connectivity to sensorimotor networks, parietal-temporal-occipital networks, putamen, and cerebellum was positively correlated with tic improvement; the model predicted clinical improvement scores (P = 0.012) and was robust to cross-validation. Regions in the anterior/lateral centromedial thalamus exhibited higher connectivity to the positively correlated networks, but volume of tissue activated overlap with this map did not predict improvement (P > 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), but the model was not robust to cross-validation. Collectively, the results demonstrate that the structural connectivity of the site of stimulation are likely important for mediating symptom improvement, and the networks involved in tic improvement may differ across surgical targets. These networks provide important insight on potential mechanisms and could be used to guide lead placement and stimulation parameter selection, as well as refine targets for neuromodulation therapies for Tourette syndrome.</description><subject>Adult</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - physiopathology</subject><subject>cortico-striato-thalamo-cortical networks</subject><subject>Deep Brain Stimulation - methods</subject><subject>Diffusion Tensor Imaging</subject><subject>Female</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Nerve Net - physiopathology</subject><subject>neuromodulation</subject><subject>obsessive-compulsive behaviour</subject><subject>Original</subject><subject>Retrospective Studies</subject><subject>tics</subject><subject>Tourette Syndrome - diagnostic imaging</subject><subject>Tourette Syndrome - physiopathology</subject><subject>Tourette Syndrome - therapy</subject><subject>tractography</subject><subject>Treatment Outcome</subject><issn>0006-8950</issn><issn>1460-2156</issn><issn>1460-2156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkctv1DAQxi0EokvpkSvyEQ6hfibxBWnVB620EgdKr5bjTFqjxF782Gr_e7LdpaVcPJLn932jmQ-hD5R8oUTx0y4a50_NgzG0bV-hBRU1qRiV9Wu0IITUVaskOULvUvpFCBWc1W_R0fxKrhhZoO5HjsXmEs2IbfAebHYbl7d4HaF3NidsR-ednduhZBsmSDgMuAdY48fROGU3ldFkFzweQsQ3oUTIGXDa-j7OgvfozWDGBCeHeox-Xl7cnF1Vq-_frs-Wq8oKSmhlGta1EjrFYVAglVCqBgK2lx2lnPcdsM7aYQAFfWuoJQMXDWtJLYZmRjg_RtXeNz3AunR6Hd1k4lYH4_S5u13qEO90mYqmTU0pmfmve36GJ-gt-Dxf4YXsZce7e30XNroRopFsZ_B5b3D_n-xqudK7PyJkI-qWb-jMfjoMi-F3gZT15JKFcTQeQkmaCcYlrQlvnvewMaQUYXjypkTvMtePh9eHzGf-4797PNF_Q-Z_ABCprS4</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Johnson, Kara A</creator><creator>Duffley, Gordon</creator><creator>Anderson, Daria Nesterovich</creator><creator>Ostrem, Jill L</creator><creator>Welter, Marie-Laure</creator><creator>Baldermann, Juan Carlos</creator><creator>Kuhn, Jens</creator><creator>Huys, Daniel</creator><creator>Visser-Vandewalle, Veerle</creator><creator>Foltynie, Thomas</creator><creator>Zrinzo, Ludvic</creator><creator>Hariz, Marwan</creator><creator>Leentjens, Albert F G</creator><creator>Mogilner, Alon Y</creator><creator>Pourfar, Michael H</creator><creator>Almeida, Leonardo</creator><creator>Gunduz, Aysegul</creator><creator>Foote, Kelly D</creator><creator>Okun, Michael S</creator><creator>Butson, Christopher R</creator><general>Oxford University Press</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>7X8</scope><scope>1XC</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D93</scope><orcidid>https://orcid.org/0000-0003-0966-0294</orcidid><orcidid>https://orcid.org/0000-0002-9093-7504</orcidid><orcidid>https://orcid.org/0000-0001-6556-8957</orcidid><orcidid>https://orcid.org/0000-0001-7925-0747</orcidid></search><sort><creationdate>20200801</creationdate><title>Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome</title><author>Johnson, Kara A ; Duffley, Gordon ; Anderson, Daria Nesterovich ; Ostrem, Jill L ; Welter, Marie-Laure ; Baldermann, Juan Carlos ; Kuhn, Jens ; Huys, Daniel ; Visser-Vandewalle, Veerle ; Foltynie, Thomas ; Zrinzo, Ludvic ; Hariz, Marwan ; Leentjens, Albert F G ; Mogilner, Alon Y ; Pourfar, Michael H ; Almeida, Leonardo ; Gunduz, Aysegul ; Foote, Kelly D ; Okun, Michael S ; Butson, Christopher R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - physiopathology</topic><topic>cortico-striato-thalamo-cortical networks</topic><topic>Deep Brain Stimulation - methods</topic><topic>Diffusion Tensor Imaging</topic><topic>Female</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>neuromodulation</topic><topic>obsessive-compulsive behaviour</topic><topic>Original</topic><topic>Retrospective Studies</topic><topic>tics</topic><topic>Tourette Syndrome - diagnostic imaging</topic><topic>Tourette Syndrome - physiopathology</topic><topic>Tourette Syndrome - therapy</topic><topic>tractography</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, Kara A</creatorcontrib><creatorcontrib>Duffley, Gordon</creatorcontrib><creatorcontrib>Anderson, Daria Nesterovich</creatorcontrib><creatorcontrib>Ostrem, Jill L</creatorcontrib><creatorcontrib>Welter, Marie-Laure</creatorcontrib><creatorcontrib>Baldermann, Juan Carlos</creatorcontrib><creatorcontrib>Kuhn, Jens</creatorcontrib><creatorcontrib>Huys, Daniel</creatorcontrib><creatorcontrib>Visser-Vandewalle, Veerle</creatorcontrib><creatorcontrib>Foltynie, Thomas</creatorcontrib><creatorcontrib>Zrinzo, Ludvic</creatorcontrib><creatorcontrib>Hariz, Marwan</creatorcontrib><creatorcontrib>Leentjens, Albert F G</creatorcontrib><creatorcontrib>Mogilner, Alon Y</creatorcontrib><creatorcontrib>Pourfar, Michael H</creatorcontrib><creatorcontrib>Almeida, Leonardo</creatorcontrib><creatorcontrib>Gunduz, Aysegul</creatorcontrib><creatorcontrib>Foote, Kelly D</creatorcontrib><creatorcontrib>Okun, Michael S</creatorcontrib><creatorcontrib>Butson, Christopher R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Umeå universitet</collection><jtitle>Brain (London, England : 1878)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnson, Kara A</au><au>Duffley, Gordon</au><au>Anderson, Daria Nesterovich</au><au>Ostrem, Jill L</au><au>Welter, Marie-Laure</au><au>Baldermann, Juan Carlos</au><au>Kuhn, Jens</au><au>Huys, Daniel</au><au>Visser-Vandewalle, Veerle</au><au>Foltynie, Thomas</au><au>Zrinzo, Ludvic</au><au>Hariz, Marwan</au><au>Leentjens, Albert F G</au><au>Mogilner, Alon Y</au><au>Pourfar, Michael H</au><au>Almeida, Leonardo</au><au>Gunduz, Aysegul</au><au>Foote, Kelly D</au><au>Okun, Michael S</au><au>Butson, Christopher R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome</atitle><jtitle>Brain (London, England : 1878)</jtitle><addtitle>Brain</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>143</volume><issue>8</issue><spage>2607</spage><epage>2623</epage><pages>2607-2623</pages><issn>0006-8950</issn><issn>1460-2156</issn><eissn>1460-2156</eissn><abstract>Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate 'reverse' tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P < 0.017). For centromedial thalamus, connectivity to sensorimotor networks, parietal-temporal-occipital networks, putamen, and cerebellum was positively correlated with tic improvement; the model predicted clinical improvement scores (P = 0.012) and was robust to cross-validation. Regions in the anterior/lateral centromedial thalamus exhibited higher connectivity to the positively correlated networks, but volume of tissue activated overlap with this map did not predict improvement (P > 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), but the model was not robust to cross-validation. Collectively, the results demonstrate that the structural connectivity of the site of stimulation are likely important for mediating symptom improvement, and the networks involved in tic improvement may differ across surgical targets. These networks provide important insight on potential mechanisms and could be used to guide lead placement and stimulation parameter selection, as well as refine targets for neuromodulation therapies for Tourette syndrome.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>32653920</pmid><doi>10.1093/brain/awaa188</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-0966-0294</orcidid><orcidid>https://orcid.org/0000-0002-9093-7504</orcidid><orcidid>https://orcid.org/0000-0001-6556-8957</orcidid><orcidid>https://orcid.org/0000-0001-7925-0747</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0006-8950 |
ispartof | Brain (London, England : 1878), 2020-08, Vol.143 (8), p.2607-2623 |
issn | 0006-8950 1460-2156 1460-2156 |
language | eng |
recordid | cdi_swepub_primary_oai_DiVA_org_umu_176110 |
source | Oxford Journals Online |
subjects | Adult Brain - diagnostic imaging Brain - physiopathology cortico-striato-thalamo-cortical networks Deep Brain Stimulation - methods Diffusion Tensor Imaging Female Human health and pathology Humans Image Interpretation, Computer-Assisted Life Sciences Male Middle Aged Nerve Net - diagnostic imaging Nerve Net - physiopathology neuromodulation obsessive-compulsive behaviour Original Retrospective Studies tics Tourette Syndrome - diagnostic imaging Tourette Syndrome - physiopathology Tourette Syndrome - therapy tractography Treatment Outcome |
title | Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T13%3A04%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Structural%20connectivity%20predicts%20clinical%20outcomes%20of%20deep%20brain%20stimulation%20for%20Tourette%20syndrome&rft.jtitle=Brain%20(London,%20England%20:%201878)&rft.au=Johnson,%20Kara%20A&rft.date=2020-08-01&rft.volume=143&rft.issue=8&rft.spage=2607&rft.epage=2623&rft.pages=2607-2623&rft.issn=0006-8950&rft.eissn=1460-2156&rft_id=info:doi/10.1093/brain/awaa188&rft_dat=%3Cproquest_swepu%3E2423516037%3C/proquest_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4101-a72b85eb93ef9e594996e0ecd5b1133dbe2bccffe9ed8a1c0f34728064f75b133%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2423516037&rft_id=info:pmid/32653920&rfr_iscdi=true |