Statistical Inference in fMRI using Random Field Theory and resampling methods
<p>This thesis provides a set of tools for analysing random images with a specific focus on applications in functional Magnetic Resonance Imaging (fMRI). To do so we employ Random Field Theory (RFT), a set of theoretical parametric results that can be used to analyse multidimensional random pr...
Auteur principal: | Davenport, S |
---|---|
Autres auteurs: | Nichols, T |
Format: | Thèse |
Langue: | English |
Publié: |
2021
|
Sujets: |
Documents similaires
-
Introduction to statistics through resampling methods and R/S-PLUS /
par: 272605 Good, Phillip I.
Publié: (2005) -
Investigations into the effects of neuromodulations on the BOLD-fMRI signal
par: Maczka, M
Publié: (2013) -
Methods for modelling human functional brain networks with MEG and fMRI
par: Colclough, G
Publié: (2016) -
On the reproducibility and interpretability of group-level task-fMRI results
par: Bowring, A
Publié: (2019) -
Statistical analysis of fMRI data
par: Woolrich, M, et autres
Publié: (2009)