Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2022
License: CC BY NC ND
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Aplicación de métodos de cronectómica para caracterizar las alteraciones en la arquitectura temporal de la actividad neuronal en estado de reposo provocadas por la enfermedad de Alzheimer

Authors: Carretero Calvo, Pablo;

Aplicación de métodos de cronectómica para caracterizar las alteraciones en la arquitectura temporal de la actividad neuronal en estado de reposo provocadas por la enfermedad de Alzheimer

Abstract

La enfermedad de Alzheimer (EA) es una de las principales causas de demencia. Esta patología provoca alteraciones cognitivas, funcionales y conductuales en aquellos que la padecen. El factor de riesgo más importante es la edad, por tanto, la enfermedad cada vez tiene un mayor impacto debido al aumento de la esperanza de vida de la población. Uno de los principales problemas es su diagnóstico. Si bien cada vez hay disponibles más técnicas que permiten obtener un diagnóstico basado en evidencias biológicas, por lo general son caras y no están disponibles de manera generalizada. Con el auge tecnológico experimentado en los últimos años, el análisis de las señales de electroencefalografía (EEG) mediante distintos algoritmos de computación cada vez cobra mayor importancia a la hora de proponer nuevas técnicas innovadoras que permitan caracterizar la enfermedad. Este trabajo se enfoca precisamente en la aplicación de métodos cronectómicos, los cuales cuantifican las propiedades dinámicas de la conectividad funcional que presentan las asociaciones de neuronas.

Alzheimer’s disease (AD) is one of the main causes of dementia. This pathology causes cognitive, functional, and behavioral alterations in those who suffer from it. The most important risk factor is age; therefore, the impact of the disease is steadily growing due to the increase in life expectancy of the population. One of the main problems is its diagnosis. Although an increasing number of techniques are becoming available to obtain a diagnosis based on biological evidence, they are generally expensive and not widely available in clinical settings. In this context, the analysis of electroencephalography (EEG) signals using different computer algorithms is becoming increasingly important to characterize the AD. This TFG focuses on the application of chronectomic methods, which quantify the dynamic properties of the functional connectivity of neuronal associations.

Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática

Grado en Ingeniería de Tecnologías de Telecomunicación

Related Organizations
Keywords

Cronectómica, Alzheimer, Electroencefalografía

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green