Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.
Identifieur interne : 000020 ( PubMed/Checkpoint ); précédent : 000019; suivant : 000021Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.
Auteurs : Dan Valsky [Israël] ; Odeya Marmor-Levin [Israël] ; Marc Deffains [Israël] ; Renana Eitan [Israël] ; Kim T. Blackwell [États-Unis] ; Hagai Bergman [Israël] ; Zvi Israel [Israël]Source :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2017.
Abstract
Microelectrode recordings along preplanned trajectories are often used for accurate definition of the subthalamic nucleus (STN) borders during deep brain stimulation (DBS) surgery for Parkinson's disease. Usually, the demarcation of the STN borders is performed manually by a neurophysiologist. The exact detection of the borders is difficult, especially detecting the transition between the STN and the substantia nigra pars reticulata. Consequently, demarcation may be inaccurate, leading to suboptimal location of the DBS lead and inadequate clinical outcomes.
DOI: 10.1002/mds.26806
PubMed: 27709666
Affiliations:
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Blackwell</name><affiliation wicri:level="2"><nlm:affiliation>Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia</wicri:regionArea><placeName><region type="state">Virginie</region></placeName></affiliation></author><author><name sortKey="Bergman, Hagai" sort="Bergman, Hagai" uniqKey="Bergman H" first="Hagai" last="Bergman">Hagai Bergman</name><affiliation wicri:level="1"><nlm:affiliation>The Edmond and Lily Safra Center for Brain Research (ELSC), The Hebrew University, Jerusalem, Israel.</nlm:affiliation><country xml:lang="fr">Israël</country><wicri:regionArea>The Edmond and Lily Safra Center for Brain Research (ELSC), The Hebrew University, Jerusalem</wicri:regionArea><wicri:noRegion>Jerusalem</wicri:noRegion></affiliation></author><author><name sortKey="Israel, Zvi" sort="Israel, Zvi" uniqKey="Israel Z" first="Zvi" last="Israel">Zvi Israel</name><affiliation wicri:level="1"><nlm:affiliation>Center for Functional & Restorative Neurosurgery, Department of Neurosurgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.</nlm:affiliation><country xml:lang="fr">Israël</country><wicri:regionArea>Center for Functional & Restorative Neurosurgery, Department of Neurosurgery, Hadassah-Hebrew University Medical Center, Jerusalem</wicri:regionArea><wicri:noRegion>Jerusalem</wicri:noRegion></affiliation></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="eISSN">1531-8257</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Microelectrode recordings along preplanned trajectories are often used for accurate definition of the subthalamic nucleus (STN) borders during deep brain stimulation (DBS) surgery for Parkinson's disease. Usually, the demarcation of the STN borders is performed manually by a neurophysiologist. The exact detection of the borders is difficult, especially detecting the transition between the STN and the substantia nigra pars reticulata. Consequently, demarcation may be inaccurate, leading to suboptimal location of the DBS lead and inadequate clinical outcomes.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">27709666</PMID><DateCreated><Year>2016</Year><Month>10</Month><Day>06</Day></DateCreated><DateRevised><Year>2017</Year><Month>04</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1531-8257</ISSN><JournalIssue CitedMedium="Internet"><Volume>32</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Movement disorders : official journal of the Movement Disorder Society</Title><ISOAbbreviation>Mov. Disord.</ISOAbbreviation></Journal><ArticleTitle>Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.</ArticleTitle><Pagination><MedlinePgn>70-79</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/mds.26806</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Microelectrode recordings along preplanned trajectories are often used for accurate definition of the subthalamic nucleus (STN) borders during deep brain stimulation (DBS) surgery for Parkinson's disease. Usually, the demarcation of the STN borders is performed manually by a neurophysiologist. The exact detection of the borders is difficult, especially detecting the transition between the STN and the substantia nigra pars reticulata. Consequently, demarcation may be inaccurate, leading to suboptimal location of the DBS lead and inadequate clinical outcomes.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We present machine-learning classification procedures that use microelectrode recording power spectra and allow for real-time, high-accuracy discrimination between the STN and substantia nigra pars reticulata.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A support vector machine procedure was tested on microelectrode recordings from 58 trajectories that included both STN and substantia nigra pars reticulata that achieved a 97.6% consistency with human expert classification (evaluated by 10-fold cross-validation). We used the same data set as a training set to find the optimal parameters for a hidden Markov model using both microelectrode recording features and trajectory history to enable real-time classification of the ventral STN border (STN exit). Seventy-three additional trajectories were used to test the reliability of the learned statistical model in identifying the exit from the STN. The hidden Markov model procedure identified the STN exit with an error of 0.04 ± 0.18 mm and detection reliability (error < 1 mm) of 94%.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The results indicate that robust, accurate, and automatic real-time electrophysiological detection of the ventral STN border is feasible. © 2016 International Parkinson and Movement Disorder Society.</AbstractText><CopyrightInformation>© 2016 International Parkinson and Movement Disorder Society.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Valsky</LastName><ForeName>Dan</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>The Edmond and Lily Safra Center for Brain Research (ELSC), The Hebrew University, Jerusalem, Israel.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Medical Neurobiology (Physiology), Institute of Medical Research - Israel-Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Marmor-Levin</LastName><ForeName>Odeya</ForeName><Initials>O</Initials><AffiliationInfo><Affiliation>Department of Medical Neurobiology (Physiology), Institute of Medical Research - Israel-Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Deffains</LastName><ForeName>Marc</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Medical Neurobiology (Physiology), Institute of Medical Research - Israel-Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eitan</LastName><ForeName>Renana</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Blackwell</LastName><ForeName>Kim T</ForeName><Initials>KT</Initials><AffiliationInfo><Affiliation>Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bergman</LastName><ForeName>Hagai</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>The Edmond and Lily Safra Center for Brain Research (ELSC), The Hebrew University, Jerusalem, Israel.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Medical Neurobiology (Physiology), Institute of Medical Research - Israel-Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Israel</LastName><ForeName>Zvi</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Center for Functional & Restorative Neurosurgery, Department of Neurosurgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 AA016022</GrantID><Acronym>AA</Acronym><Agency>NIAAA NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 DA038890</GrantID><Acronym>DA</Acronym><Agency>NIDA NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>10</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Mov Disord</MedlineTA><NlmUniqueID>8610688</NlmUniqueID><ISSNLinking>0885-3185</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Parkinson's disease</Keyword><Keyword MajorTopicYN="N">deep brain stimulation</Keyword><Keyword MajorTopicYN="N">microelectrode recording</Keyword><Keyword MajorTopicYN="N">substantia nigra</Keyword><Keyword MajorTopicYN="N">subthalamic nucleus</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>04</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>08</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>08</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>10</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>10</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>10</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27709666</ArticleId><ArticleId IdType="doi">10.1002/mds.26806</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Israël</li><li>États-Unis</li></country><region><li>Virginie</li></region></list><tree><country name="Israël"><noRegion><name sortKey="Valsky, Dan" sort="Valsky, Dan" uniqKey="Valsky D" first="Dan" last="Valsky">Dan Valsky</name></noRegion><name sortKey="Bergman, Hagai" sort="Bergman, Hagai" uniqKey="Bergman H" first="Hagai" last="Bergman">Hagai Bergman</name><name sortKey="Deffains, Marc" sort="Deffains, Marc" uniqKey="Deffains M" first="Marc" last="Deffains">Marc Deffains</name><name sortKey="Eitan, Renana" sort="Eitan, Renana" uniqKey="Eitan R" first="Renana" last="Eitan">Renana Eitan</name><name sortKey="Israel, Zvi" sort="Israel, Zvi" uniqKey="Israel Z" first="Zvi" last="Israel">Zvi Israel</name><name sortKey="Marmor Levin, Odeya" sort="Marmor Levin, Odeya" uniqKey="Marmor Levin O" first="Odeya" last="Marmor-Levin">Odeya Marmor-Levin</name></country><country name="États-Unis"><region name="Virginie"><name sortKey="Blackwell, Kim T" sort="Blackwell, Kim T" uniqKey="Blackwell K" first="Kim T" last="Blackwell">Kim T. 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