<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-28T23:32:30Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/48502" metadataPrefix="edm">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/48502</identifier><datestamp>2021-09-05T18:32:20Z</datestamp><setSpec>com_10324_30605</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_41</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xsi:schemaLocation="http://www.w3.org/1999/02/22-rdf-syntax-ns# http://www.europeana.eu/schemas/edm/EDM.xsd">
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<dc:contributor>Aja Fernández, Santiago</dc:contributor>
<dc:contributor>Luis García, Rodrigo de</dc:contributor>
<dc:contributor>Universidad de Valladolid. Escuela Técnica Superior de Ingenieros de Telecomunicación</dc:contributor>
<dc:creator>Planchuelo Gómez, Álvaro</dc:creator>
<dc:date>2021</dc:date>
<dc:description>Migraine is one of the most common causes of disability, especially among young women. Despite&#xd;
the high migraine prevalence and its consequences, currently there are no migraine biomarkers&#xd;
and the diagnosis is exclusively based on the description of the symptoms by the patient. Furthermore,&#xd;
the migraine pathophysiology is not completely understood yet. In order to find a&#xd;
migraine biomarker and better understand the migraine pathophysiology, Magnetic Resonance&#xd;
Imaging (MRI) has been employed thanks to its excellent tissue contrast and spatial resolution&#xd;
using non-ionizing radiation. Multiple studies that have assessed gray matter and white matter&#xd;
structure in patients with migraine have shown conflicting results, although some patterns such&#xd;
as loss of gray matter volume have been widely described. From the clinical point of view, other&#xd;
important assessments like the comparison between the two current main migraine types, Chronic&#xd;
Migraine (CM) and Episodic Migraine (EM), have been barely carried out. Considering the technical&#xd;
perspective, specific evaluations of the structural connections between gray matter regions&#xd;
and the relationships between the MRI findings from different modalities have not been performed.&#xd;
In the present doctoral thesis, the main objective was the characterization of gray matter and&#xd;
white matter structural properties of patients with CM and EM. With regard to both migraine&#xd;
groups, the comparison between the two migraine types through the employment of diverse MRI&#xd;
processing techniques is also included in the main objective. The use of advanced and novel&#xd;
diffusion measures not employed previously in the migraine literature was also considered to provide&#xd;
an additional strategy for the assessment of white matter. An evaluation of the diffusion MRI&#xd;
(dMRI) acquisition parameters in association with the sample size was carried out to identify&#xd;
possible sources of the variability. Moreover, the structural connections between gray matter&#xd;
regions through the white matter tracts were assessed, bearing in mind their possible relationship&#xd;
with gray matter morphometry.</dc:description>
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<dc:identifier>https://uvadoc.uva.es/handle/10324/48502</dc:identifier>
<dc:language>eng</dc:language>
<dc:subject>Migraña</dc:subject>
<dc:subject>Materia gris</dc:subject>
<dc:subject>Migraine</dc:subject>
<dc:subject>Gray Matter Morphometry</dc:subject>
<dc:subject>Diffusion Magnetic Resonance Imaging</dc:subject>
<dc:subject>32 Ciencias Médicas</dc:subject>
<dc:subject>33 Ciencias Tecnológicas</dc:subject>
<dc:title>A multimodal analysis of Magnetic Resonance Imaging for the study of brain abnormalities in migraine: gray matter morphometry, white matter integrity and structural connectivity</dc:title>
<dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
<edm:type>TEXT</edm:type>
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