RT Dissertation/Thesis
T1 Development of statistical methods for neuroimage data analysis towards early diagnostic of neurodegenerative diseases
A1 Arias López, Juan Antonio
K1 Alzheimer
K1 neuroimaging
K1 PET
K1 SCC
AB This doctoral thesis introduces a novel statistical framework to improve early detection of Alzheimer’s disease (AD) using neuroimaging data, particularly Positron Emission Tomography (PET). The proposed method is grounded in Functional Data Analysis (FDA), a statistical paradigm that treats data as continuous spatial surfaces rather than collections of independent voxel values. This shift allows for more powerful and spatially coherent inference, which is especially important in neuroimaging contexts and in early disease stages where subtle and diffuse changes are the norm.
YR 2025
FD 2025
LK https://hdl.handle.net/10347/44309
UL https://hdl.handle.net/10347/44309
LA eng
DS Minerva
RD 29 abr 2026