ParkinsonFranceV1, Hal, Curation, bibRecord, 000462

Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm

Identifieur interne : 000462 ( Hal/Curation ); précédent : 000461; suivant : 000463

Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm

Auteurs : Olga Chibirova [France]

Source :

RBID : Hal:tel-00115720

Descripteurs français

mix :
- maladie de Parkinson, pattern d'activité neuronale, tri de potantiels d'action.

English descriptors

mix :
- Parkinson disease, neuronal activity pattern, spike sorting.

Abstract

The present thesis is devoted to the development of a new unsupervised spike sorting method and its application to the investigation of neuronal activity. The development of new approaches to spike sorting is crusial both for the intrasurgical electrophusiology and for the efficience of real time electrophysiological experiences.
The method presented in the first part of this thesis is a novel approach to the problem which describes action potential by means of differential equations with perturbation characterizing the internal variation of their forms. The unsupervised spike sorting software implemented on the basis of the presented method comprises an automatic algorithm of estimation of class centers and their radiuses.
The second part presents the application of the method to the investigation of neuronal activity in basal ganglia. The data for the analyses were acquired in the surgical room of the department of neurosurgery of the University Hospital, Grenoble, and represent the STN (950 recordings), the GPI (183) and the SNR (105) of 13 Parkinsonian patients and 2 dystonia patients. The analyses are aimed to define typical forms of action potential and to reveal a parallel between the nature of neural activity and the gravity of the Parkinsonian disease symptoms.

Url:

https://tel.archives-ouvertes.fr/tel-00115720

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Le document en format XML

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<front><div type="abstract" xml:lang="en">The present thesis is devoted to the development of a new unsupervised spike sorting method and its application to the investigation of neuronal activity. The development of new approaches to spike sorting is crusial both for the intrasurgical electrophusiology and for the efficience of real time electrophysiological experiences. 
The method presented in the first part of this thesis is a novel approach to the problem which describes action potential by means of differential equations with perturbation characterizing the internal variation of their forms. The unsupervised spike sorting software implemented on the basis of the presented method comprises an automatic algorithm of estimation of class centers and their radiuses. 
The second part presents the application of the method to the investigation of neuronal activity in basal ganglia. The data for the analyses were acquired in the surgical room of the department of neurosurgery of the University Hospital, Grenoble, and represent the STN (950 recordings), the GPI (183) and the SNR (105) of 13 Parkinsonian patients and 2 dystonia patients. The analyses are aimed to define typical forms of action potential and to reveal a parallel between the nature of neural activity and the gravity of the Parkinsonian disease symptoms.</div>
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<idno type="halRefHtml">Neurons and Cognition [q-bio.NC]. Université Joseph-Fourier - Grenoble I, 2006. English</idno>
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<term xml:lang="fr">pattern d'activité neuronale</term>
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<abstract xml:lang="en">The present thesis is devoted to the development of a new unsupervised spike sorting method and its application to the investigation of neuronal activity. The development of new approaches to spike sorting is crusial both for the intrasurgical electrophusiology and for the efficience of real time electrophysiological experiences. 
The method presented in the first part of this thesis is a novel approach to the problem which describes action potential by means of differential equations with perturbation characterizing the internal variation of their forms. The unsupervised spike sorting software implemented on the basis of the presented method comprises an automatic algorithm of estimation of class centers and their radiuses. 
The second part presents the application of the method to the investigation of neuronal activity in basal ganglia. The data for the analyses were acquired in the surgical room of the department of neurosurgery of the University Hospital, Grenoble, and represent the STN (950 recordings), the GPI (183) and the SNR (105) of 13 Parkinsonian patients and 2 dystonia patients. The analyses are aimed to define typical forms of action potential and to reveal a parallel between the nature of neural activity and the gravity of the Parkinsonian disease symptoms.</abstract>
<abstract xml:lang="fr">La thèse porte sur une nouvelle méthode de tri non supervisé de potentiels d'action et sur son application à l'analyse de l'activité neuronale des ganglions de la base. Le développement de nouvelles approches au tri de potentiels d'action est actuel en vue de nouveaux outils nécessaires à l'électrophysiologie effectuée pendent la neurochirurgie fonctionnelle, autant que pour l'efficacité des l'expériences électrophysiologiques en temps réel. 
La méthode présentée dans la première partie de cette thèse est une nouvelle approche à ce problème qui décrit les potentiels d'action à l'aide des équations différentielles avec perturbation caractérisant la variation interne de leur forme. Le logiciel permettant le tri de potentiels d'action non supervisé développé à partir de cette méthode comprends un algorithme automatique d'évaluation d'étalons de classes et de leurs rayons. 
La seconde partie présente l'application de la méthode à l'analyse de l'activité neuronale des ganglions de la base. Les donnés pour les analyses ont été recueillis au bloque chirurgical du département de neurochirurgie de l'Hôpital Universitaire de Grenoble pendent l'électrophysiologie intra chirurgicale et représentent le STN (950 enregistrements), le GPI (183) et le SNR (105) de 13 patients parkinsoniens et 2 patients souffrant de dystonie. Les analyses sont destinées à définir les formes typiques de potentiel d'action et à révéler un parallèle entre la nature de l'activité neuronale et la gravité des symptômes de la maladie de Parkinson.</abstract>
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	La maladie de Parkinson en France (serveur d'exploration)
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La maladie de Parkinson en France (serveur d'exploration)

Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm

Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri