1,510 research outputs found

    Characterising population variability in brain structure through models of whole-brain structural connectivity

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    Models of whole-brain connectivity are valuable for understanding neurological function. This thesis seeks to develop an optimal framework for extracting models of whole-brain connectivity from clinically acquired diffusion data. We propose new approaches for studying these models. The aim is to develop techniques which can take models of brain connectivity and use them to identify biomarkers or phenotypes of disease. The models of connectivity are extracted using a standard probabilistic tractography algorithm, modified to assess the structural integrity of tracts, through estimates of white matter anisotropy. Connections are traced between 77 regions of interest, automatically extracted by label propagation from multiple brain atlases followed by classifier fusion. The estimates of tissue integrity for each tract are input as indices in 77x77 ”connectivity” matrices, extracted for large populations of clinical data. These are compared in subsequent studies. To date, most whole-brain connectivity studies have characterised population differences using graph theory techniques. However these can be limited in their ability to pinpoint the locations of differences in the underlying neural anatomy. Therefore, this thesis proposes new techniques. These include a spectral clustering approach for comparing population differences in the clustering properties of weighted brain networks. In addition, machine learning approaches are suggested for the first time. These are particularly advantageous as they allow classification of subjects and extraction of features which best represent the differences between groups. One limitation of the proposed approach is that errors propagate from segmentation and registration steps prior to tractography. This can cumulate in the assignment of false positive connections, where the contribution of these factors may vary across populations, causing the appearance of population differences where there are none. The final contribution of this thesis is therefore to develop a common co-ordinate space approach. This combines probabilistic models of voxel-wise diffusion for each subject into a single probabilistic model of diffusion for the population. This allows tractography to be performed only once, ensuring that there is one model of connectivity. Cross-subject differences can then be identified by mapping individual subjects’ anisotropy data to this model. The approach is used to compare populations separated by age and gender

    Experiences of seeking support from health services in the context of homelessness and alcohol dependence

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    The portfolio thesis is comprised of three parts: a systematic literature review, an empirical paper, and supporting appendices.Part one is a systematic literature review, exploring the themes that represent the experiences of people experiencing homelessness in the context of seeking help from UK health services. Twenty-two articles were critically quality assessed, and a thematic synthesis was performed to analyse and synthesise the findings. There were three super-ordinate themes generated which represented positive and negative experiences of help-seeking for people experiencing homelessness at the individual, service, and social-contextual levels. Implications for services, policy and future research are outlined to facilitate people experiencing homelessness seeking health support.Part two is an empirical paper, exploring the role of alcohol and what helps and hinders access to alcohol treatment for people experiencing homelessness and alcohol dependence. A sample of seven participants, combining people experiencing homelessness and alcohol dependence and outreach and key workers, engaged with semi-structured interviews. Interviews were thematically analysed to identify five themes describing the role of alcohol and the capability, opportunity and motivation factors that help and hinder access to alcohol treatment for people experiencing homelessness and alcohol dependence. Clinical and research implications are discussed to aid engagement with people experiencing homelessness and alcohol dependence.Part three accumulates the appendices that accompany the systematic literature review and the empirical paper, including a reflective statement and epistemological statement to inform the context of the thesis portfolio

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    Getting the picture : iconicity does not affect representation-referent confusion

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    Three experiments examined 3- to 5-year-olds' (N = 428) understanding of the relationship between pictorial iconicity (photograph, colored drawing, schematic drawing) and the real world referent. Experiments 1 and 2 explored pictorial iconicity in picture-referent confusion after the picture-object relationship has been established. Pictorial iconicity had no effect on referential confusion when the referent changed after the picture had been taken/drawn (Experiment 1) and when the referent and the picture were different from the outset (Experiment 2). Experiment 3 investigated whether children are sensitive to iconicity to begin with. Children deemed photographs from a choice of varying iconicity representations as best representations for object reference. Together, findings suggest that iconicity plays a role in establishing a picture-object relation per se but is irrelevant once children have accepted that a picture represents an object. The latter finding may reflect domain general representational abilities
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