MersV1, PubMed, Checkpoint, bibRecord, 001140

Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson's disease and obsessive-compulsive disorder in a data-driven computational model.

Identifieur interne : 001140 ( PubMed/Checkpoint ); précédent : 001139; suivant : 001141

Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson's disease and obsessive-compulsive disorder in a data-driven computational model.

Auteurs : Sofia D. Karamintziou [Grèce] ; Nick G. Deligiannis ; Brigitte Piallat ; Mircea Polosan ; Stephan Chabardès ; Olivier David ; Pantelis G. Stathis ; George A. Tagaris ; Efstathios J. Boviatsis ; Damianos E. Sakas ; Georgia E. Polychronaki ; George L. Tsirogiannis ; Konstantina S. Nikita

Source :

Journal of neural engineering [ 1741-2552 ] ; 2016.

RBID : pubmed:26695534

Descripteurs français

English descriptors

KwdEn :
- Computer Simulation, Deep Brain Stimulation (methods), Humans, Models, Neurological, Obsessive-Compulsive Disorder (physiopathology), Obsessive-Compulsive Disorder (therapy), Parkinson Disease (physiopathology), Parkinson Disease (therapy), Subthalamic Nucleus (physiopathology), Therapy, Computer-Assisted (methods), Treatment Outcome.
MESH :
- methods : Deep Brain Stimulation, Therapy, Computer-Assisted.
- physiopathology : Obsessive-Compulsive Disorder, Parkinson Disease, Subthalamic Nucleus.
- therapy : Obsessive-Compulsive Disorder, Parkinson Disease.
- Computer Simulation, Humans, Models, Neurological, Treatment Outcome.

Abstract

Almost 30 years after the start of the modern era of deep brain stimulation (DBS), the subthalamic nucleus (STN) still constitutes a standard stimulation target for advanced Parkinson's disease (PD), but the use of STN-DBS is also now supported by level I clinical evidence for treatment-refractory obsessive-compulsive disorder (OCD). Disruption of neural synchronization in the STN has been suggested as one of the possible mechanisms of action of standard and alternative patterns of STN-DBS at a local level. Meanwhile, recent experimental and computational modeling evidence has signified the efficiency of alternative patterns of stimulation; however, no indications exist for treatment-refractory OCD. Here, we comparatively simulate the desynchronizing effect of standard (regular at 130 Hz) versus temporally alternative (in terms of frequency, temporal variability and the existence of bursts or pauses) patterns of STN-DBS for PD and OCD, by means of a stochastic dynamical model and two microelectrode recording (MER) datasets.

DOI: 10.1088/1741-2560/13/1/016013
PubMed: 26695534

Affiliations:

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Le document en format XML

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<author><name sortKey="Sakas, Damianos E" sort="Sakas, Damianos E" uniqKey="Sakas D" first="Damianos E" last="Sakas">Damianos E. Sakas</name>
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<term>Deep Brain Stimulation (methods)</term>
<term>Humans</term>
<term>Models, Neurological</term>
<term>Obsessive-Compulsive Disorder (physiopathology)</term>
<term>Obsessive-Compulsive Disorder (therapy)</term>
<term>Parkinson Disease (physiopathology)</term>
<term>Parkinson Disease (therapy)</term>
<term>Subthalamic Nucleus (physiopathology)</term>
<term>Therapy, Computer-Assisted (methods)</term>
<term>Treatment Outcome</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Humains</term>
<term>Maladie de Parkinson ()</term>
<term>Maladie de Parkinson (physiopathologie)</term>
<term>Modèles neurologiques</term>
<term>Noyau subthalamique (physiopathologie)</term>
<term>Résultat thérapeutique</term>
<term>Simulation numérique</term>
<term>Stimulation cérébrale profonde ()</term>
<term>Thérapie assistée par ordinateur ()</term>
<term>Trouble obsessionnel compulsif ()</term>
<term>Trouble obsessionnel compulsif (physiopathologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Deep Brain Stimulation</term>
<term>Therapy, Computer-Assisted</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Maladie de Parkinson</term>
<term>Noyau subthalamique</term>
<term>Trouble obsessionnel compulsif</term>
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<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Obsessive-Compulsive Disorder</term>
<term>Parkinson Disease</term>
<term>Subthalamic Nucleus</term>
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<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Obsessive-Compulsive Disorder</term>
<term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term>
<term>Humans</term>
<term>Models, Neurological</term>
<term>Treatment Outcome</term>
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<term>Maladie de Parkinson</term>
<term>Modèles neurologiques</term>
<term>Résultat thérapeutique</term>
<term>Simulation numérique</term>
<term>Stimulation cérébrale profonde</term>
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<front><div type="abstract" xml:lang="en">Almost 30 years after the start of the modern era of deep brain stimulation (DBS), the subthalamic nucleus (STN) still constitutes a standard stimulation target for advanced Parkinson's disease (PD), but the use of STN-DBS is also now supported by level I clinical evidence for treatment-refractory obsessive-compulsive disorder (OCD). Disruption of neural synchronization in the STN has been suggested as one of the possible mechanisms of action of standard and alternative patterns of STN-DBS at a local level. Meanwhile, recent experimental and computational modeling evidence has signified the efficiency of alternative patterns of stimulation; however, no indications exist for treatment-refractory OCD. Here, we comparatively simulate the desynchronizing effect of standard (regular at 130 Hz) versus temporally alternative (in terms of frequency, temporal variability and the existence of bursts or pauses) patterns of STN-DBS for PD and OCD, by means of a stochastic dynamical model and two microelectrode recording (MER) datasets.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26695534</PMID>
<DateCompleted><Year>2016</Year>
<Month>10</Month>
<Day>26</Day>
</DateCompleted>
<DateRevised><Year>2016</Year>
<Month>12</Month>
<Day>30</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1741-2552</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>13</Volume>
<Issue>1</Issue>
<PubDate><Year>2016</Year>
<Month>Feb</Month>
</PubDate>
</JournalIssue>
<Title>Journal of neural engineering</Title>
<ISOAbbreviation>J Neural Eng</ISOAbbreviation>
</Journal>
<ArticleTitle>Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson's disease and obsessive-compulsive disorder in a data-driven computational model.</ArticleTitle>
<Pagination><MedlinePgn>016013</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1088/1741-2560/13/1/016013</ELocationID>
<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">Almost 30 years after the start of the modern era of deep brain stimulation (DBS), the subthalamic nucleus (STN) still constitutes a standard stimulation target for advanced Parkinson's disease (PD), but the use of STN-DBS is also now supported by level I clinical evidence for treatment-refractory obsessive-compulsive disorder (OCD). Disruption of neural synchronization in the STN has been suggested as one of the possible mechanisms of action of standard and alternative patterns of STN-DBS at a local level. Meanwhile, recent experimental and computational modeling evidence has signified the efficiency of alternative patterns of stimulation; however, no indications exist for treatment-refractory OCD. Here, we comparatively simulate the desynchronizing effect of standard (regular at 130 Hz) versus temporally alternative (in terms of frequency, temporal variability and the existence of bursts or pauses) patterns of STN-DBS for PD and OCD, by means of a stochastic dynamical model and two microelectrode recording (MER) datasets.</AbstractText>
<AbstractText Label="APPROACH" NlmCategory="METHODS">The stochastic model is fitted to subthalamic MERs acquired during eight surgical interventions for PD and eight surgical interventions for OCD. For each dynamical system simulated, we comparatively assess the invariant density (steady-state phase distribution) as a measure inversely related to the desynchronizing effect yielded by the applied patterns of stimulation.</AbstractText>
<AbstractText Label="MAIN RESULTS" NlmCategory="RESULTS">We demonstrate that high (130 Hz)-and low (80 Hz)-frequency irregular patterns of stimulation, and low-frequency periodic stimulation interrupted by bursts of pulses, yield in both pathologic conditions a significantly stronger desynchronizing effect compared with standard STN-DBS, and distinct alternative patterns of stimulation. In PD, values of the invariant density measure are proven to be optimal at the dorsolateral oscillatory region of the STN including sites with the optimal therapeutic window.</AbstractText>
<AbstractText Label="SIGNIFICANCE" NlmCategory="CONCLUSIONS">In addition to providing novel insights into the efficiency of low-frequency nonregular patterns of STN-DBS for advanced PD and treatment-refractory OCD, this work points to a possible correlation of a model-based outcome measure with clinical effectiveness of stimulation and may have significant implications for an energy- and therapeutically-efficient configuration of a closed-loop neuromodulation system.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Karamintziou</LastName>
<ForeName>Sofia D</ForeName>
<Initials>SD</Initials>
<AffiliationInfo><Affiliation>Biomedical Simulations and Imaging Laboratory (BIOSIM), School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.</Affiliation>
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<Initials>DE</Initials>
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<Initials>GE</Initials>
</Author>
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<Initials>GL</Initials>
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<Author ValidYN="Y"><LastName>Nikita</LastName>
<ForeName>Konstantina S</ForeName>
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</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2015</Year>
<Month>12</Month>
<Day>22</Day>
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<MedlineTA>J Neural Eng</MedlineTA>
<NlmUniqueID>101217933</NlmUniqueID>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D020531" MajorTopicYN="N">Subthalamic Nucleus</DescriptorName>
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	Serveur d'exploration MERS
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Serveur d'exploration MERS

Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson's disease and obsessive-compulsive disorder in a data-driven computational model.

Dominant efficiency of nonregular patterns of subthalamic nucleus deep brain stimulation for Parkinson's disease and obsessive-compulsive disorder in a data-driven computational model.

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