New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region
Identifieur interne : 001925 ( Istex/Corpus ); précédent : 001924; suivant : 001926New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region
Auteurs : J. Coste ; L. Ouchchane ; L. Sarry ; P. Derost ; F. Durif ; J. Gabrillargues ; S. Hemm ; J. J. LemaireSource :
- European Journal of Neuroscience [ 0953-816X ] ; 2009-04.
English descriptors
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Abstract
The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.
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DOI: 10.1111/j.1460-9568.2009.06698.x
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ISTEX:A97EBE8503B8FFF4EF3F78A569DC2130B2C3682DLe document en format XML
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Coste</name><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</mods:affiliation></affiliation><affiliation><mods:affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</mods:affiliation></affiliation></author><author><name sortKey="Ouchchane, L" sort="Ouchchane, L" uniqKey="Ouchchane L" first="L." last="Ouchchane">L. Ouchchane</name><affiliation><mods:affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</mods:affiliation></affiliation><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Laboratoire de Biostatistiques, Télématique et Traitement d’Images, Clermont‐Ferrand, France</mods:affiliation></affiliation></author><author><name sortKey="Sarry, L" sort="Sarry, L" uniqKey="Sarry L" first="L." last="Sarry">L. Sarry</name><affiliation><mods:affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</mods:affiliation></affiliation></author><author><name sortKey="Derost, P" sort="Derost, P" uniqKey="Derost P" first="P." last="Derost">P. Derost</name><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</mods:affiliation></affiliation></author><author><name sortKey="Durif, F" sort="Durif, F" uniqKey="Durif F" first="F." last="Durif">F. Durif</name><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</mods:affiliation></affiliation></author><author><name sortKey="Gabrillargues, J" sort="Gabrillargues, J" uniqKey="Gabrillargues J" first="J." last="Gabrillargues">J. Gabrillargues</name><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont‐Ferrand, France</mods:affiliation></affiliation></author><author><name sortKey="Hemm, S" sort="Hemm, S" uniqKey="Hemm S" first="S." last="Hemm">S. Hemm</name><affiliation><mods:affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</mods:affiliation></affiliation></author><author><name sortKey="Lemaire, J J" sort="Lemaire, J J" uniqKey="Lemaire J" first="J. J." last="Lemaire">J. J. Lemaire</name><affiliation><mods:affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</mods:affiliation></affiliation><affiliation><mods:affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">European Journal of Neuroscience</title><idno type="ISSN">0953-816X</idno><idno type="eISSN">1460-9568</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2009-04">2009-04</date><biblScope unit="volume">29</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="1627">1627</biblScope><biblScope unit="page" to="1633">1633</biblScope></imprint><idno type="ISSN">0953-816X</idno></series><idno type="istex">A97EBE8503B8FFF4EF3F78A569DC2130B2C3682D</idno><idno type="DOI">10.1111/j.1460-9568.2009.06698.x</idno><idno type="ArticleID">EJN6698</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0953-816X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Parkinson’s disease</term><term>deep brain stimulation</term><term>electrophysiology</term><term>spontaneous activity</term><term>subthalamic nucleus</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>J. Coste</name><affiliations><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</json:string><json:string>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</json:string></affiliations></json:item><json:item><name>L. Ouchchane</name><affiliations><json:string>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</json:string><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Laboratoire de Biostatistiques, Télématique et Traitement d’Images, Clermont‐Ferrand, France</json:string></affiliations></json:item><json:item><name>L. Sarry</name><affiliations><json:string>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</json:string></affiliations></json:item><json:item><name>P. Derost</name><affiliations><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</json:string></affiliations></json:item><json:item><name>F. Durif</name><affiliations><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</json:string></affiliations></json:item><json:item><name>J. Gabrillargues</name><affiliations><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont‐Ferrand, France</json:string></affiliations></json:item><json:item><name>S. Hemm</name><affiliations><json:string>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</json:string></affiliations></json:item><json:item><name>J. J. Lemaire</name><affiliations><json:string>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</json:string><json:string>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>deep brain stimulation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>electrophysiology</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Parkinson’s disease</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>spontaneous activity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>subthalamic nucleus</value></json:item></subject><articleId><json:string>EJN6698</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.</abstract><qualityIndicators><score>7.504</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595.276 x 810.709 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1485</abstractCharCount><pdfWordCount>4780</pdfWordCount><pdfCharCount>32145</pdfCharCount><pdfPageCount>7</pdfPageCount><abstractWordCount>227</abstractWordCount></qualityIndicators><title>New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region</title><refBibs><json:item><author><json:item><name>B.P. 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Journal Compilation © Federation of European Neuroscience Societies and Blackwell Publishing Ltd</p></availability><date>2009</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region</title><author xml:id="author-1"><persName><forename type="first">J.</forename><surname>Coste</surname></persName><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</affiliation><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation></author><author xml:id="author-2"><persName><forename type="first">L.</forename><surname>Ouchchane</surname></persName><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Laboratoire de Biostatistiques, Télématique et Traitement d’Images, Clermont‐Ferrand, France</affiliation></author><author xml:id="author-3"><persName><forename type="first">L.</forename><surname>Sarry</surname></persName><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation></author><author xml:id="author-4"><persName><forename type="first">P.</forename><surname>Derost</surname></persName><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</affiliation></author><author xml:id="author-5"><persName><forename type="first">F.</forename><surname>Durif</surname></persName><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</affiliation></author><author xml:id="author-6"><persName><forename type="first">J.</forename><surname>Gabrillargues</surname></persName><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont‐Ferrand, France</affiliation></author><author xml:id="author-7"><persName><forename type="first">S.</forename><surname>Hemm</surname></persName><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation></author><author xml:id="author-8"><persName><forename type="first">J. J.</forename><surname>Lemaire</surname></persName><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</affiliation><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation></author></analytic><monogr><title level="j">European Journal of Neuroscience</title><idno type="pISSN">0953-816X</idno><idno type="eISSN">1460-9568</idno><idno type="DOI">10.1111/(ISSN)1460-9568</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2009-04"></date><biblScope unit="volume">29</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="1627">1627</biblScope><biblScope unit="page" to="1633">1633</biblScope></imprint></monogr><idno type="istex">A97EBE8503B8FFF4EF3F78A569DC2130B2C3682D</idno><idno type="DOI">10.1111/j.1460-9568.2009.06698.x</idno><idno type="ArticleID">EJN6698</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>deep brain stimulation</term></item><item><term>electrophysiology</term></item><item><term>Parkinson’s disease</term></item><item><term>spontaneous activity</term></item><item><term>subthalamic nucleus</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2009-04">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/A97EBE8503B8FFF4EF3F78A569DC2130B2C3682D/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1460-9568</doi><issn type="print">0953-816X</issn><issn type="electronic">1460-9568</issn><idGroup><id type="product" value="EJN"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="EUROPEAN JOURNAL OF NEUROSCIENCE">European Journal of Neuroscience</title></titleGroup></publicationMeta><publicationMeta level="part" position="04008"><doi origin="wiley">10.1111/ejn.2009.29.issue-8</doi><numberingGroup><numbering type="journalVolume" number="29">29</numbering><numbering type="journalIssue" number="8">8</numbering></numberingGroup><coverDate startDate="2009-04">April 2009</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="9" status="forIssue"><doi origin="wiley">10.1111/j.1460-9568.2009.06698.x</doi><idGroup><id type="unit" value="EJN6698"></id></idGroup><countGroup><count type="pageTotal" number="7"></count></countGroup><titleGroup><title type="tocHeading1">NEUROSYSTEMS</title></titleGroup><copyright>© The Authors (2009). Journal Compilation © Federation of European Neuroscience Societies and Blackwell Publishing Ltd</copyright><eventGroup><event type="firstOnline" date="2009-04-08"></event><event type="publishedOnlineFinalForm" date="2009-04-14"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:FullText result:FullText" date="2010-03-02"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:4.0.1" date="2014-03-12"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-16"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="1627">1627</numbering><numbering type="pageLast" number="1633">1633</numbering></numberingGroup><correspondenceTo>Dr J. Coste, <sup>1</sup>CHU Clermont‐Ferrand, as above.
E‐mail: <email normalForm="jcoste@chu-clermontferrand.fr">jcoste@chu‐clermontferrand.fr</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:EJN.EJN6698.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received 24 November 2008, revised 3 February 2009, accepted 6 February 2009</unparsedEditorialHistory><countGroup><count type="figureTotal" number="3"></count><count type="tableTotal" number="2"></count></countGroup><titleGroup><title type="main">New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region</title><title type="shortAuthors">J. Coste <i>et al.</i></title><title type="short">Electrophysiological mapping and MRI anatomy</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1 #a2"><personName><givenNames>J.</givenNames><familyName>Coste</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2 #a3"><personName><givenNames>L.</givenNames><familyName>Ouchchane</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a2"><personName><givenNames>L.</givenNames><familyName>Sarry</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a4"><personName><givenNames>P.</givenNames><familyName>Derost</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a4"><personName><givenNames>F.</givenNames><familyName>Durif</familyName></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a5"><personName><givenNames>J.</givenNames><familyName>Gabrillargues</familyName></personName></creator><creator creatorRole="author" xml:id="cr7" affiliationRef="#a2"><personName><givenNames>S.</givenNames><familyName>Hemm</familyName></personName></creator><creator creatorRole="author" xml:id="cr8" affiliationRef="#a1 #a2"><personName><givenNames>J. J.</givenNames><familyName>Lemaire</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="FR"><unparsedAffiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="FR"><unparsedAffiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="FR"><unparsedAffiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Laboratoire de Biostatistiques, Télématique et Traitement d’Images, Clermont‐Ferrand, France</unparsedAffiliation></affiliation><affiliation xml:id="a4" countryCode="FR"><unparsedAffiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</unparsedAffiliation></affiliation><affiliation xml:id="a5" countryCode="FR"><unparsedAffiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont‐Ferrand, France</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">deep brain stimulation</keyword><keyword xml:id="k2">electrophysiology</keyword><keyword xml:id="k3">Parkinson’s disease</keyword><keyword xml:id="k4">spontaneous activity</keyword><keyword xml:id="k5">subthalamic nucleus</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Electrophysiological mapping and MRI anatomy</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>New electrophysiological mapping combined with MRI in parkinsonian’s subthalamic region</title></titleInfo><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Coste</namePart><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</affiliation><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.</namePart><namePart type="family">Ouchchane</namePart><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Laboratoire de Biostatistiques, Télématique et Traitement d’Images, Clermont‐Ferrand, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.</namePart><namePart type="family">Sarry</namePart><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P.</namePart><namePart type="family">Derost</namePart><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">F.</namePart><namePart type="family">Durif</namePart><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurologie, Clermont‐Ferrand, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Gabrillargues</namePart><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont‐Ferrand, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Hemm</namePart><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J. J.</namePart><namePart type="family">Lemaire</namePart><affiliation>CHU Clermont‐Ferrand, Hôpital Gabriel Montpied, Service de Neurochirurgie A, Clermont‐Ferrand, F‐63003, France</affiliation><affiliation>Univ Clermont 1, UFR Médecine, EA3295, Equipe de Recherche en signal et Imagerie Médicale, Clermont‐Ferrand, F‐63001, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2009-04</dateIssued><edition>Received 24 November 2008, revised 3 February 2009, accepted 6 February 2009</edition><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">3</extent><extent unit="tables">2</extent></physicalDescription><abstract lang="en">The subthalamic nucleus (STN) is the main target for deep brain stimulation in Parkinson’s disease. We analysed the relationships between magnetic resonance imaging (MRI) anatomy and spontaneous neuronal activity to confirm the potential of microelectrode recordings to assist in determining the optimal surgical target. Ten bilateral surgeries were performed after 1.5‐T (T2‐weighted) anatomical MRI identification of the STN, zona incerta (ZI), Forel’s field H2 (H2) and substantia nigra (SN). Spontaneous neuronal activity was recorded simultaneously along the distal 10 mm on a central track (optimally covering the STN) and a 2‐mm anterior track. We calculated off‐line mean firing rate and burst frequency on 248 neurons clustered according to anatomical structure. Subjective visual analysis of signal was also realized on‐line, during surgery, to classify patterns of activity. Mean firing rate and burst frequency increased from H2–ZI to SN. The mean firing rate was higher in SN only using paired comparison (SN vs. its neighbours). The burst frequency was lower in H2 than in SN; using comparison with neighbours, it was lower in H2 and ZI. An irregular high activity (type 2C) was more often detected in STN and SN than in H2 and ZI. Anatomical boundaries and unitary recordings appear to be linked, supporting the ability of MRI to provide a detailed anatomy. Electrophysiological mapping combined with MRI is a useful tool for precise targeting in the subthalamic region.</abstract><subject lang="en"><genre>keywords</genre><topic>deep brain stimulation</topic><topic>electrophysiology</topic><topic>Parkinson’s disease</topic><topic>spontaneous activity</topic><topic>subthalamic nucleus</topic></subject><relatedItem type="host"><titleInfo><title>European Journal of Neuroscience</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0953-816X</identifier><identifier type="eISSN">1460-9568</identifier><identifier type="DOI">10.1111/(ISSN)1460-9568</identifier><identifier type="PublisherID">EJN</identifier><part><date>2009</date><detail type="volume"><caption>vol.</caption><number>29</number></detail><detail type="issue"><caption>no.</caption><number>8</number></detail><extent unit="pages"><start>1627</start><end>1633</end><total>7</total></extent></part></relatedItem><identifier type="istex">A97EBE8503B8FFF4EF3F78A569DC2130B2C3682D</identifier><identifier type="DOI">10.1111/j.1460-9568.2009.06698.x</identifier><identifier type="ArticleID">EJN6698</identifier><accessCondition type="use and reproduction" contentType="copyright">© The Authors (2009). Journal Compilation © Federation of European Neuroscience Societies and Blackwell Publishing Ltd</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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