A guided heuristic approach to the MEG inverse problem.

Herrero Gómez, Carlos (2013). A guided heuristic approach to the MEG inverse problem.. Tesis (Master), Facultad de Informática (UPM) [antigua denominación].


Título: A guided heuristic approach to the MEG inverse problem.
  • Herrero Gómez, Carlos
  • Peña Sanchez, Jose Maria
  • LaTorre de la Fuente, Antonio
Tipo de Documento: Tesis (Master)
Título del máster: Computación Avanzada para Ciencias e Ingenierías
Fecha: 2013
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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There is general agreement within the scientific community in considering Biology as the science with more potential to develop in the XXI century. This is due to several reasons, but probably the most important one is the state of development of the rest of experimental and technological sciences. In this context, there are a very rich variety of mathematical tools, physical techniques and computer resources that permit to do biological experiments that were unbelievable only a few years ago. Biology is nowadays taking advantage of all these newly developed technologies, which are been applied to life sciences opening new research fields and helping to give new insights in many biological problems. Consequently, biologists have improved a lot their knowledge in many key areas as human function and human diseases. However there is one human organ that is still barely understood compared with the rest: The human brain. The understanding of the human brain is one of the main challenges of the XXI century. In this regard, it is considered a strategic research field for the European Union and the USA. Thus, there is a big interest in applying new experimental techniques for the study of brain function. Magnetoencephalography (MEG) is one of these novel techniques that are currently applied for mapping the brain activity1. This technique has important advantages compared to the metabolic-based brain imagining techniques like Functional Magneto Resonance Imaging2 (fMRI). The main advantage is that MEG has a higher time resolution than fMRI. Another benefit of MEG is that it is a patient friendly clinical technique. The measure is performed with a wireless set up and the patient is not exposed to any radiation. Although MEG is widely applied in clinical studies, there are still open issues regarding data analysis. The present work deals with the solution of the inverse problem in MEG, which is the most controversial and uncertain part of the analysis process3. This question is addressed using several variations of a new solving algorithm based in a heuristic method. The performance of those methods is analyzed by applying them to several test cases with known solutions and comparing those solutions with the ones provided by our methods.

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ID de Registro: 21924
Identificador DC: http://oa.upm.es/21924/
Identificador OAI: oai:oa.upm.es:21924
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 12 Dic 2013 09:15
Ultima Modificación: 08 Feb 2016 09:13
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