Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model.
Identifieur interne : 002803 ( Main/Exploration ); précédent : 002802; suivant : 002804Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model.
Auteurs : Adam Zaidel [Israël] ; Alexander Spivak ; Lavi Shpigelman ; Hagai Bergman ; Zvi IsraelSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2009.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Algorithmes, Analyse spectrale, Chaines de Markov, Femelle, Humains, Maladie de Parkinson (), Microélectrodes, Mâle, Noyau subthalamique (physiologie), Potentiels d'action (physiologie), Reproductibilité des résultats, Rythme bêta, Stimulation cérébrale profonde (), Sujet âgé, Électrodes implantées.
- MESH :
- physiologie : Noyau subthalamique, Potentiels d'action.
- Adulte d'âge moyen, Algorithmes, Analyse spectrale, Chaines de Markov, Femelle, Humains, Maladie de Parkinson, Microélectrodes, Mâle, Reproductibilité des résultats, Rythme bêta, Stimulation cérébrale profonde, Sujet âgé, Électrodes implantées.
English descriptors
- KwdEn :
- MESH :
- methods : Deep Brain Stimulation.
- physiology : Action Potentials, Subthalamic Nucleus.
- therapy : Parkinson Disease.
- Aged, Algorithms, Beta Rhythm, Electrodes, Implanted, Female, Humans, Male, Markov Chains, Microelectrodes, Middle Aged, Reproducibility of Results, Spectrum Analysis.
Abstract
Positive therapeutic response without adverse side effects to subthalamic nucleus deep brain stimulation (STN DBS) for Parkinson's disease (PD) depends to a large extent on electrode location within the STN. The sensorimotor region of the STN (seemingly the preferred location for STN DBS) lies dorsolaterally, in a region also marked by distinct beta (13-30 Hz) oscillations in the parkinsonian state. In this study, we present a real-time method to accurately demarcate subterritories of the STN during surgery, based on microelectrode recordings (MERs) and a Hidden Markov Model (HMM). Fifty-six MER trajectories were used, obtained from 21 PD patients who underwent bilateral STN DBS implantation surgery. Root mean square (RMS) and power spectral density (PSD) of the MERs were used to train and test an HMM in identifying the dorsolateral oscillatory region (DLOR) and nonoscillatory subterritories within the STN. The HMM demarcations were compared to the decisions of a human expert. The HMM identified STN-entry, the ventral boundary of the DLOR, and STN-exit with an error of -0.09 +/- 0.35, -0.27 +/- 0.58, and -0.20 +/- 0.33 mm, respectively (mean +/- standard deviation), and with detection reliability (error < 1 mm) of 95, 86, and 91%, respectively. The HMM was successful despite a very coarse clustering method and was robust to parameter variation. Thus, using an HMM in conjunction with RMS and PSD measures of intraoperative MER can provide improved refinement of STN entry and exit in comparison with previously reported automatic methods, and introduces a novel (intra-STN) detection of a distinct DLOR-ventral boundary.
DOI: 10.1002/mds.22674
PubMed: 19533755
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 002012
- to stream PubMed, to step Curation: 002012
- to stream PubMed, to step Checkpoint: 001F20
- to stream Ncbi, to step Merge: 000692
- to stream Ncbi, to step Curation: 000692
- to stream Ncbi, to step Checkpoint: 000692
- to stream Main, to step Merge: 002829
- to stream Main, to step Curation: 002803
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model.</title><author><name sortKey="Zaidel, Adam" sort="Zaidel, Adam" uniqKey="Zaidel A" first="Adam" last="Zaidel">Adam Zaidel</name><affiliation wicri:level="1"><nlm:affiliation>Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem, Israel. adam@alice.nc.huji.ac.il</nlm:affiliation><country xml:lang="fr">Israël</country><wicri:regionArea>Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem</wicri:regionArea><wicri:noRegion>Jerusalem</wicri:noRegion></affiliation></author><author><name sortKey="Spivak, Alexander" sort="Spivak, Alexander" uniqKey="Spivak A" first="Alexander" last="Spivak">Alexander Spivak</name></author><author><name sortKey="Shpigelman, Lavi" sort="Shpigelman, Lavi" uniqKey="Shpigelman L" first="Lavi" last="Shpigelman">Lavi Shpigelman</name></author><author><name sortKey="Bergman, Hagai" sort="Bergman, Hagai" uniqKey="Bergman H" first="Hagai" last="Bergman">Hagai Bergman</name></author><author><name sortKey="Israel, Zvi" sort="Israel, Zvi" uniqKey="Israel Z" first="Zvi" last="Israel">Zvi Israel</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009</date><idno type="RBID">pubmed:19533755</idno><idno type="pmid">19533755</idno><idno type="doi">10.1002/mds.22674</idno><idno type="wicri:Area/PubMed/Corpus">002012</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">002012</idno><idno type="wicri:Area/PubMed/Curation">002012</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">002012</idno><idno type="wicri:Area/PubMed/Checkpoint">001F20</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001F20</idno><idno type="wicri:Area/Ncbi/Merge">000692</idno><idno type="wicri:Area/Ncbi/Curation">000692</idno><idno type="wicri:Area/Ncbi/Checkpoint">000692</idno><idno type="wicri:Area/Main/Merge">002829</idno><idno type="wicri:Area/Main/Curation">002803</idno><idno type="wicri:Area/Main/Exploration">002803</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model.</title><author><name sortKey="Zaidel, Adam" sort="Zaidel, Adam" uniqKey="Zaidel A" first="Adam" last="Zaidel">Adam Zaidel</name><affiliation wicri:level="1"><nlm:affiliation>Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem, Israel. adam@alice.nc.huji.ac.il</nlm:affiliation><country xml:lang="fr">Israël</country><wicri:regionArea>Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem</wicri:regionArea><wicri:noRegion>Jerusalem</wicri:noRegion></affiliation></author><author><name sortKey="Spivak, Alexander" sort="Spivak, Alexander" uniqKey="Spivak A" first="Alexander" last="Spivak">Alexander Spivak</name></author><author><name sortKey="Shpigelman, Lavi" sort="Shpigelman, Lavi" uniqKey="Shpigelman L" first="Lavi" last="Shpigelman">Lavi Shpigelman</name></author><author><name sortKey="Bergman, Hagai" sort="Bergman, Hagai" uniqKey="Bergman H" first="Hagai" last="Bergman">Hagai Bergman</name></author><author><name sortKey="Israel, Zvi" sort="Israel, Zvi" uniqKey="Israel Z" first="Zvi" last="Israel">Zvi Israel</name></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="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Action Potentials (physiology)</term><term>Aged</term><term>Algorithms</term><term>Beta Rhythm</term><term>Deep Brain Stimulation (methods)</term><term>Electrodes, Implanted</term><term>Female</term><term>Humans</term><term>Male</term><term>Markov Chains</term><term>Microelectrodes</term><term>Middle Aged</term><term>Parkinson Disease (therapy)</term><term>Reproducibility of Results</term><term>Spectrum Analysis</term><term>Subthalamic Nucleus (physiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Algorithmes</term><term>Analyse spectrale</term><term>Chaines de Markov</term><term>Femelle</term><term>Humains</term><term>Maladie de Parkinson ()</term><term>Microélectrodes</term><term>Mâle</term><term>Noyau subthalamique (physiologie)</term><term>Potentiels d'action (physiologie)</term><term>Reproductibilité des résultats</term><term>Rythme bêta</term><term>Stimulation cérébrale profonde ()</term><term>Sujet âgé</term><term>Électrodes implantées</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Deep Brain Stimulation</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Noyau subthalamique</term><term>Potentiels d'action</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Action Potentials</term><term>Subthalamic Nucleus</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Algorithms</term><term>Beta Rhythm</term><term>Electrodes, Implanted</term><term>Female</term><term>Humans</term><term>Male</term><term>Markov Chains</term><term>Microelectrodes</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Spectrum Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Algorithmes</term><term>Analyse spectrale</term><term>Chaines de Markov</term><term>Femelle</term><term>Humains</term><term>Maladie de Parkinson</term><term>Microélectrodes</term><term>Mâle</term><term>Reproductibilité des résultats</term><term>Rythme bêta</term><term>Stimulation cérébrale profonde</term><term>Sujet âgé</term><term>Électrodes implantées</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Positive therapeutic response without adverse side effects to subthalamic nucleus deep brain stimulation (STN DBS) for Parkinson's disease (PD) depends to a large extent on electrode location within the STN. The sensorimotor region of the STN (seemingly the preferred location for STN DBS) lies dorsolaterally, in a region also marked by distinct beta (13-30 Hz) oscillations in the parkinsonian state. In this study, we present a real-time method to accurately demarcate subterritories of the STN during surgery, based on microelectrode recordings (MERs) and a Hidden Markov Model (HMM). Fifty-six MER trajectories were used, obtained from 21 PD patients who underwent bilateral STN DBS implantation surgery. Root mean square (RMS) and power spectral density (PSD) of the MERs were used to train and test an HMM in identifying the dorsolateral oscillatory region (DLOR) and nonoscillatory subterritories within the STN. The HMM demarcations were compared to the decisions of a human expert. The HMM identified STN-entry, the ventral boundary of the DLOR, and STN-exit with an error of -0.09 +/- 0.35, -0.27 +/- 0.58, and -0.20 +/- 0.33 mm, respectively (mean +/- standard deviation), and with detection reliability (error < 1 mm) of 95, 86, and 91%, respectively. The HMM was successful despite a very coarse clustering method and was robust to parameter variation. Thus, using an HMM in conjunction with RMS and PSD measures of intraoperative MER can provide improved refinement of STN entry and exit in comparison with previously reported automatic methods, and introduces a novel (intra-STN) detection of a distinct DLOR-ventral boundary.</div></front></TEI><affiliations><list><country><li>Israël</li></country></list><tree><noCountry><name sortKey="Bergman, Hagai" sort="Bergman, Hagai" uniqKey="Bergman H" first="Hagai" last="Bergman">Hagai Bergman</name><name sortKey="Israel, Zvi" sort="Israel, Zvi" uniqKey="Israel Z" first="Zvi" last="Israel">Zvi Israel</name><name sortKey="Shpigelman, Lavi" sort="Shpigelman, Lavi" uniqKey="Shpigelman L" first="Lavi" last="Shpigelman">Lavi Shpigelman</name><name sortKey="Spivak, Alexander" sort="Spivak, Alexander" uniqKey="Spivak A" first="Alexander" last="Spivak">Alexander Spivak</name></noCountry><country name="Israël"><noRegion><name sortKey="Zaidel, Adam" sort="Zaidel, Adam" uniqKey="Zaidel A" first="Adam" last="Zaidel">Adam Zaidel</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002803 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002803 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= MersV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:19533755
|texte= Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:19533755" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a MersV1
| This area was generated with Dilib version V0.6.33. |  |