RT info:eu-repo/semantics/doctoralThesis
T1 A multimodal analysis of Magnetic Resonance Imaging for the study of brain abnormalities in migraine: gray matter morphometry, white matter integrity and structural connectivity
A1 Planchuelo Gómez, Álvaro
A2 Universidad de Valladolid. Escuela Técnica Superior de Ingenieros de Telecomunicación
K1 Migraña
K1 Materia gris
K1 Migraine
K1 Gray Matter Morphometry
K1 Diffusion Magnetic Resonance Imaging
K1 32 Ciencias Médicas
K1 33 Ciencias Tecnológicas
AB Migraine is one of the most common causes of disability, especially among young women. Despitethe high migraine prevalence and its consequences, currently there are no migraine biomarkersand the diagnosis is exclusively based on the description of the symptoms by the patient. Furthermore,the migraine pathophysiology is not completely understood yet. In order to find amigraine biomarker and better understand the migraine pathophysiology, Magnetic ResonanceImaging (MRI) has been employed thanks to its excellent tissue contrast and spatial resolutionusing non-ionizing radiation. Multiple studies that have assessed gray matter and white matterstructure in patients with migraine have shown conflicting results, although some patterns suchas loss of gray matter volume have been widely described. From the clinical point of view, otherimportant assessments like the comparison between the two current main migraine types, ChronicMigraine (CM) and Episodic Migraine (EM), have been barely carried out. Considering the technicalperspective, specific evaluations of the structural connections between gray matter regionsand the relationships between the MRI findings from different modalities have not been performed.In the present doctoral thesis, the main objective was the characterization of gray matter andwhite matter structural properties of patients with CM and EM. With regard to both migrainegroups, the comparison between the two migraine types through the employment of diverse MRIprocessing techniques is also included in the main objective. The use of advanced and noveldiffusion measures not employed previously in the migraine literature was also considered to providean additional strategy for the assessment of white matter. An evaluation of the diffusion MRI(dMRI) acquisition parameters in association with the sample size was carried out to identifypossible sources of the variability. Moreover, the structural connections between gray matterregions through the white matter tracts were assessed, bearing in mind their possible relationshipwith gray matter morphometry.
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/48502
UL https://uvadoc.uva.es/handle/10324/48502
LA eng
NO Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática
DS UVaDOC
RD 24-nov-2024