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Thesis

Statistical Inference in fMRI using Random Field Theory and resampling methods

Abstract:

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 processes (known as random fields), and resampling methods, which draw samples from the data (with or without replacement).

We extend the voxelwise inference framework of Worsley et al so that it ...

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Division:
MPLS
Department:
Statistics
Role:
Author

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Role:
Supervisor
Role:
Supervisor
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Name:
Engineering and Physical Sciences Research Council
Funder identifier:
http://dx.doi.org/10.13039/501100000266
Programme:
OxWaSP
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
Deposit date:
2021-03-16

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