Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 148 for “"Brain imaging"”.
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Spatiotemporal brain imaging
Understanding how the human brain works, in both health and disease, requires data with both high spatial and temporal resolution. This thesis develops and applies a spatiotemporal neuroimaging method. I describe a linear estimation inverse approach, which is a method for the combination of …
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Spatiotemporal brain imaging and modeling
… modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge to (i) reconstruct the spatial distribution of the activity, (ii) to estimate when these areas are activated and what is the temporal sequence …
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Methods for functional brain imaging
Magnetic resonance imaging (MRI) has demonstrated the potential for non-invasive mapping of structure and function (fMRI) in the human brain. In this thesis, we propose a series of methodological developments towards improved fMRI of auditory processes. First, the inefficiency of standard fMRI that …
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Say cheese! Brain imaging of texture perception
… perception during oral processing in the human brain. Oral processing presents technical challenges when analysed using functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). Thus, the work described within this thesis aimed to develop experimental …
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Spatio-temporal analysis in functional brain imaging
… information from functional magnetic resonance imaging (fMRI) into the estimation algorithm.
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Transparent neural interfaces for simultaneous electrophysiology and advanced brain imaging
Imaging and electrophysiology are the most fundamental tools in neuroscience research. On the one hand, optical imaging can target specific molecules with high spatial resolution *in vitro* and *in vivo*. Spectroscopic techniques like magnetic resonance imaging (MRI) can access deep regions of the …
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Interaction between language and analogical reasoning from the brain imaging perspective
… nameable pictures versus words, may influence brain activity related to analogical reasoning in healthy adults. In a second study the same fMRI paradigm was applied to investigate brain activity during analogical reasoning in young normal readers and young dyslexics in order to understand if …
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Quantitative functional brain imaging with Positron Emission Tomography and irreversible tracers
… methodologies<br/>for functional quantitative imaging with PET and irreversible tracers.
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Structural brain imaging in individuals at high familial risk of schizophrenia
… disorder has been associated with a number of brain abnormalities, however it is at present unknown whether these brain changes occur prior to onset of schizophrenia, or in unaffected relatives with a familial vulnerability to develop the disorder, or only in those at high risk that go on to …
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MR Susceptibility Mapping: Improved Quantification and Applications in Developmental Brain Imaging
<p>The white matter fibers of the human brain are primarily composed of myelinated axons, which connect different brain regions, transmit neural signals, and form efficient communication pathways that shape the neural systems responsible for higher-order functioning. The fatty myelin sheath …
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Characterizing human vision through large-scale brain imaging and computational models
… neural networks, and a joint MEG/fMRI neuroimaging dataset to reveal that the human visual system extensively processes highly memorable images in regions distributed throughout visual cortex late in time. In the second chapter, I present the BOLD Moments Dataset, a large-scale fMRI dataset …
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Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization
… several studies have used different brain imaging techniques in an attempt to characterize the biological abnormalities found on patients. One of those techniques is functional magnetic resonance imaging (fMRI), a non-invasive technique that captures brain images that reflect neuronal …
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Functional brain imaging of facial emotion processing in individuals with intellectual impairments
… intellectually able. This is particularly so in brain imaging research, largely by reason of the significant challenges of the imaging environment, with many of the challenges of having a scan corresponding with particular difficulties for the individuals; e.g. the noise of the scanner being of …
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Rapid time-resolved brain imaging with multiple clinical contrasts using wave-shuffling
Magnetic Resonance Imaging (MRI) is a non-invasive but slow biomedical imaging modality that produces images of multiple desirable contrasts. Currently, multiple receive channels are used in MRI to exploit redundancy and sample fewer data points for faster acquisition. Wave-CAIPI is a recently …
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Detection of Stroke, Blood Vessel Landmarks, and Leptomeningeal Anastomoses in Mouse Brain Imaging
Collateral connections in the brain, also known as Leptomeningeal Anastomoses, are connections between blood vessels originating from different arteries. Despite limited knowledge, they are suggested as an important contributor to cerebral stroke recovery that allows additional blood flow through …
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Use and Development of Matrix Factorisation Techniques in the Field of Brain Imaging
… and Independent Components Analysis. Applied to brain images, matrix factorisation provides insight into the spatial and temporal structure of data. We improve on current practice with methods that unify different stages of analysis simultaneously for all subjects in a dataset, including …
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Magnetic particle imaging for intraoperative breast cancer margin assessment and functional brain imaging
Magnetic Particle Imaging (MPI) is an emerging tracer-based imaging modality that uniquely images the nonlinear magnetization of superparamagnetic iron oxide nanoparticles (SPIOs). MPI boasts high sensitivity, zero background signal, positive contrast, fast temporal resolution, and quantitative …
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New Approaches for Data-mining and Classification of Mental Disorder in Brain Imaging Data
Brain imaging data are incredibly complex and new information is being learned as approaches to mine these data are developed. In addition to studying the healthy brain, new approaches for using this information to provide information about complex mental illness such as schizophrenia are needed. …
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