eTheses Repository

An information theoretic approach to EEG-fMRI integration

Ostwald, Dirk (2010)
Ph.D. thesis, University of Birmingham.

PDF (8Mb)


The integration of signals from electro-encephalography (EEG) and functional magnetic resonance imaging (fMRI), acquired simultaneously from the same observer, holds great potential for the elucidation of the neurobiological underpinnings of human brain function. However, the most appropriate way in which to combine the data in order to achieve this goal is not clear. In this thesis, a symmetric and data-driven route to the integration of multimodal functional brain imaging data based on information theory is proposed. As a proof of principle, the framework, which was originally developed in the study of neuronal population codes, is applied in the experimental context of visually evoked responses and the neural underpinnings of visual perceptual decisions. The implications, benefits, and limitations of this theoretical framework for the analysis of simultaneously acquired EEG and fMRI data are discussed.

Type of Work:Ph.D. thesis.
Supervisor(s):Bagshaw, Andrew P.
School/Faculty:Colleges (2008 onwards) > College of Life & Environmental Sciences
Department:School of Psychology
Subjects:RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
BF Psychology
Institution:University of Birmingham
ID Code:1100
This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.
Export Reference As : ASCII + BibTeX + Dublin Core + EndNote + HTML + METS + MODS + OpenURL Object + Reference Manager + Refer + RefWorks
Share this item :
QR Code for this page

Repository Staff Only: item control page