ParkinsonCanadaV1, Main, Exploration, bibRecord, 001084

Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations

Identifieur interne : 001084 ( Main/Exploration ); précédent : 001083; suivant : 001085

Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations

Auteurs : Alberto Priori [Italie] ; Guglielmo Foffani [Espagne, États-Unis] ; Lorenzo Rossi [Italie] ; Sara Marceglia [Italie]

Source :

Experimental neurology : (Print) [ 0014-4886 ] ; 2013.

RBID : Pascal:13-0242547

Descripteurs français

Pascal (Inist)
- Maladie de Parkinson, Pathologie du système nerveux, Potentiel champ, Oscillation, Boucle fermée, Neuromodulation, Stimulation cérébrale profonde.

English descriptors

KwdEn :
- Closed loop, Deep brain stimulation, Field potential, Nervous system diseases, Neuromodulation, Oscillation, Parkinson disease.

Abstract

Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation (DBS) systems could be further optimized to maximize treatment benefits. In particular, because current open-loop DBS strategies based on fixed stimulation settings leave the typical parkinsonian motor fluctuations and rapid symptom variations partly uncontrolled, research has for several years focused on developing novel "closed-loop" or "adaptive" DBS (aDBS) systems. aDBS consists of a simple closed-loop model designed to measure and analyze a control variable reflecting the patient's clinical condition to elaborate new stimulation settings and send them to an "intelligent" implanted stimulator. The major problem in developing an aDBS system is choosing the ideal control variable for feedback. Here we review current evidence on the advantages of neurosignal-controlled aDBS that uses local field potentials (LFPs) as a control variable, and describe the technology already available to create new aDBS systems, and the potential benefits of aDBS for patients with Parkinson's disease.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000087
to stream PascalFrancis, to step Curation: 000B46
to stream PascalFrancis, to step Checkpoint: 000096
to stream Main, to step Merge: 001103
to stream Main, to step Curation: 001084

Le document en format XML

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<front><div type="abstract" xml:lang="en">Despite their proven efficacy in treating neurological disorders, especially Parkinson's disease, deep brain stimulation (DBS) systems could be further optimized to maximize treatment benefits. In particular, because current open-loop DBS strategies based on fixed stimulation settings leave the typical parkinsonian motor fluctuations and rapid symptom variations partly uncontrolled, research has for several years focused on developing novel "closed-loop" or "adaptive" DBS (aDBS) systems. aDBS consists of a simple closed-loop model designed to measure and analyze a control variable reflecting the patient's clinical condition to elaborate new stimulation settings and send them to an "intelligent" implanted stimulator. The major problem in developing an aDBS system is choosing the ideal control variable for feedback. Here we review current evidence on the advantages of neurosignal-controlled aDBS that uses local field potentials (LFPs) as a control variable, and describe the technology already available to create new aDBS systems, and the potential benefits of aDBS for patients with Parkinson's disease.</div>
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	La maladie de Parkinson au Canada (serveur d'exploration)
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La maladie de Parkinson au Canada (serveur d'exploration)

Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations

Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri