Self awareness and executive functioning following traumatic brain injury

This thesis is submitted in part fulfilment for the degree of Doctor of Clinical Psychology (ClinPsychD) at the University of Birmingham. This volume of the thesis contains three papers. The literature review examines evidence on interventions for the rehabilitation of executive functioning. It has been written with the intention to submit to the journal: Neuropsychological Rehabilitation. The empirical study is the second paper. This examines the impact of verbal and visual/verbal feedback on awareness of errors and performance on a planning task. This has been written with the intention to submit to the journal: Neuropsychological Rehabilitation. The third paper is the public domain briefing paper which gives an overview of the literature review and empirical paper

Combining evolutionary algorithms and agent-based simulation for the development of urbanisation policies

Urban-planning authorities continually face the problem of optimising the allocation of green space over time in developing urban environments. To help in these decision-making processes, this thesis provides an empirical study of using evolutionary approaches to solve sequential decision making problems under uncertainty in stochastic environments. To achieve this goal, this work is underpinned by developing a theoretical framework based on the economic model of Alonso and the associated methodology for modelling spatial and temporal urban growth, in order to better understand the complexity inherent in this kind of system and to generate and improve relevant knowledge for the urban planning community. The model was hybridised with cellular automata and agent-based model and extended to encompass green space planning based on urban cost and satisfaction. Monte Carlo sampling techniques and the use of the urban model as a surrogate tool were the two main elements investigated and applied to overcome the noise and uncertainty derived from dealing with future trends and expectations. Once the evolutionary algorithms were equipped with these mechanisms, the problem under consideration was defined and characterised as a type of adaptive submodular. Afterwards, the performance of a non-adaptive evolutionary approach with a random search and a very smart greedy algorithm was compared and in which way the complexity that is linked with the configuration of the problem modifies the performance of both algorithms was analysed. Later on, the application of very distinct frameworks incorporating evolutionary algorithm approaches for this problem was explored: (i) an ‘offline’ approach, in which a candidate solution encodes a complete set of decisions, which is then evaluated by full simulation, and (ii) an ‘online’ approach which involves a sequential series of optimizations, each making only a single decision, and starting its simulations from the endpoint of the previous run

Evaluating Intradistrict Resource Allocation and its Implications for Equity: A Case Study

Financial and human capital resources play a vital role in the ability of a school to fulfill its mission of educating students. Access to these resources varies - and this variation is often due to districts\u27 allocation of resources among schools. Research on equity often disregards this concern and focuses attention on differences among district-wide revenue sources. My dissertation explores the implications for equity of intradistrict resource allocation through an examination of school disparities and district practices in a mid-sized urban school district. First, I establish a comprehensive equity framework which joins together principles of adequacy and vertical equity. Then, using financial, personnel, student enrollment/ demographic, and student achievement and behavior data from the Allentown, Pennsylvania School District (ASD), I employ a mix of quantitative and qualitative methods to ascertain how resources are directed to schools in accordance with the comprehensive equity framework. I describe resource allocation using horizontal equity statistics and I provide context by evaluating the relationship between student outcomes and attending a particular school. Subsequently, I test: adequacy, looking at school outcomes for the entire student population and various subgroups with higher needs; vertical equity, identifying how inputs are allocated differentially based on schools\u27 characteristics and demographics; and, comprehensive equity, a construct incorporating both adequacy and vertical equity designed to measure the justness of the district\u27s approach to resource allocation. I also measure the portion of resource allocation in unexplained by vertical and comprehensive equity and conduct a simulation of weighted student funding. Qualitative analysis, comprised of interviews with district administrative personnel - at the central office and in schools - provides context and the rationale for district resource allocation policies. Overall findings uncover a misalignment between school-level student needs and resources in the ASD. Results are strongest when considering human capital resources, including teacher effectiveness and teacher efficacy. Based on my findings, I conclude that the ASD does not achieve comprehensive equity in school year 2009-2010. This case study provides a window into equal educational opportunity within school districts and offers a template for districts seeking to determine the extent to which they are serving students equitably

Neurophysiological mechanisms of sensorimotor recovery from stroke

Ischemic stroke often results in the devastating loss of nervous tissue in the cerebral cortex, leading to profound motor deficits when motor territory is lost, and ultimately resulting in a substantial reduction in quality of life for the stroke survivor. The International Classification of Functioning, Disability and Health (ICF) was developed in 2002 by the World Health Organization (WHO) and provides a framework for clinically defining impairment after stroke. While the reduction of burdens due to neurological disease is stated as a mission objective of the National Institute of Neurological Disorders and Stroke (NINDS), recent clinical trials have been unsuccessful in translating preclinical research breakthroughs into actionable therapeutic treatment strategies with meaningful progress towards this goal. This means that research expanding another NINDS mission is now more important than ever: improving fundamental knowledge about the brain and nervous system in order to illuminate the way forward. Past work in the monkey model of ischemic stroke has suggested there may be a relationship between motor improvements after injury and the ability of the animal to reintegrate sensory and motor information during behavior. This relationship may be subserved by sprouting cortical axonal processes that originate in the spared premotor cortex after motor cortical injury in squirrel monkeys. The axons were observed to grow for relatively long distances (millimeters), significantly changing direction so that it appears that they specifically navigate around the injury site and reorient toward the spared sensory cortex. Critically, it remains unknown whether such processes ever form functional synapses, and if they do, whether such synapses perform meaningful calculations or other functions during behavior. The intent of this dissertation was to study this phenomenon in both intact rats and rats with a focal ischemia in primary motor cortex (M1) contralateral to the preferred forelimb during a pellet retrieval task. As this proved to be a challenging and resource-intensive endeavor, a primary objective of the dissertation became to provide the tools to facilitate such a project to begin with. This includes the creation of software, hardware, and novel training and behavioral paradigms for the rat model. At the same time, analysis of previous experimental data suggested that plasticity in the neural activity of the bilateral motor cortices of rats performing pellet retrievals after focal M1 ischemia may exhibit its most salient changes with respect to functional changes in behavior via mechanisms that were different than initially hypothesized. Specifically, a major finding of this dissertation is the finding that evidence of plasticity in the unit activity of bilateral motor cortical areas of the reaching rat is much stronger at the level of population features. These features exhibit changes in dynamics that suggest a shift in network fixed points, which may relate to the stability of filtering performed during behavior. It is therefore predicted that in order to define recovery by comparison to restitution, a specific type of fixed point dynamics must be present in the cortical population state. A final suggestion is that the stability or presence of these dynamics is related to the reintegration of sensory information to the cortex, which may relate to the positive impact of physical therapy during rehabilitation in the postacute window. Although many more rats will be needed to state any of these findings as a definitive fact, this line of inquiry appears to be productive for identifying targets related to sensorimotor integration which may enhance the efficacy of future therapeutic strategies