Characterization of cerebral activity in PD’s patients through an autoregressive model
Fecha
2016Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Trabajo Fin de Grado/Gradu Amaierako Lana
Impacto
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nodoi-noplumx
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Resumen
In this project we will have the opportunity to access to the local field potentials
(LFP) recorded from the stimulation macroelectrodes of the DBS systems implanted in
the subthalamic nucleus (STN) of 14 patients with PD.
Although some of the characteristics of this oscillatory activity have already been
described, many other remain to be evaluated. In light of the studies showed in t ...
[++]
In this project we will have the opportunity to access to the local field potentials
(LFP) recorded from the stimulation macroelectrodes of the DBS systems implanted in
the subthalamic nucleus (STN) of 14 patients with PD.
Although some of the characteristics of this oscillatory activity have already been
described, many other remain to be evaluated. In light of the studies showed in the
introduction and references therein, we note that in PD studies STN activity is almost
exclusively studied by means of univariated or bivariated methods. This fact precludes
the possibility of carrying analyses as those proposed in, where authors are able to
fit an autoregressive model (AR) and thereafter to proceed with a study of the stability
of the system, thus providing a deeper description of the state of the parkinsonian brain.
With the aim of obtaining a similar framework for the STN signals, the general
objective of this project is devoted to define AR models for the oscillatory activity from
PD patients during both states, before and after the effect of the dopaminergic therapy. [--]
Materias
Parkinson’s disease,
Cerebral activity,
Autoregressive model
Titulación
Graduado o Graduada en Ingeniería en Tecnologías de Telecomunicación por la Universidad Pública de Navarra /
Telekomunikazio Teknologien Ingeniaritzako Graduatua Nafarroako Unibertsitate Publikoan