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Biomedical subjects

S J Payne

Publications and source records attributed to S J Payne.

At least 19 recordsLinked to original sources

A model of the interaction between autoregulation and neural activation in the brain.

In this paper a model is proposed that predicts the response of the cerebral vasculature to changes in arterial blood pressure, arterial CO2 concentration and neural stimulation. Cerebral blood flow (CBF) is assumed to be controlled through changes in arterial compliance, and hence arterial resistance and volume, through three feedback mechanisms, which act in a linear additive manner, based on CBF, arterial CO2 and neural stimulus. Together with arterial, capillary and venous compartments, a tissue compartment is included, which contributes partly to the initial rise found in the deoxyhaemoglobin response to neural activation. Dynamic simulations of the model under different conditions show that there is significant interaction between the autoregulation and activation processes, and that the level of autoregulation has a strong influence on the CBF and deoxyhaemoglobin responses to neural activation. Overshoot in the deoxyhaemoglobin response is eliminated completely in the absence of this regulation. The feedback mechanism time constants significantly affect the CBF and deoxyhaemoglobin responses. Changes in arterial blood pressure (ABP) are found to have a strong influence on the neural activation response, with the amplitude of the response decreasing significantly at high baseline ABP. Dynamic changes in ABP also have a significant and potentially confounding impact on the measured deoxyhaemoglobin response to neural activation.

Algorithms↗

Combined transfer function analysis and modelling of cerebral autoregulation.

The clinical importance of cerebral autoregulation has resulted in a significant body of literature that attempts both to model the underlying physiological processes and to estimate the mathematical relationships between clinically measurable variables, the most common of which are Arterial Blood Pressure and Cerebral Blood Flow Velocity. These approaches have, however, rarely been used together to interpret clinical data. A simple model of cerebral autoregulation is thus proposed here, based on a flow dependent feedback mechanism with gain and time constant that adjusts arterial compliance. Analysis of this model shows that it closely approximates a second order system for typical values of physiological parameters. The model parameters can be optimally estimated from available experimental data for the Impulse Response (IR), yielding physiologically reasonable values, although there is one free parameter that must be fixed. The effects of changes in feedback gain and time constant are found to be significant on the predicted IR and can thus be estimated robustly from experimental data. The effects of elevated baseline Intracranial Pressure (ICP) are found to be exactly equivalent to a reduced feedback gain, although the solution is much less sensitive to the former effect. A transfer function approach can be used to estimate autoregulation status clinically using a physiologically-based model, thus providing greater insight into the processes that govern cerebral autoregulation.

Algorithms↗

A physiological model of the interaction between tissue bubbles and the formation of blood-borne bubbles under decompression.

Under decompression, bubbles can form in the human body, and these can be found both within the body tissues and the bloodstream. Mathematical models for the growth of both types of bubbles have previously been presented, but they have not been coupled together. This work thus explores the interaction between the growth of tissue and blood-borne bubbles under decompression, specifically looking at the extent to which they compete for the common resource of inert gas held in solution in the tissues. The influence of tissue bubbles is found to be significant for densities as low as 10 ml(-1) for tissues which are poorly perfused. However, the effects of formation of bubbles in the blood are not found until the density of bubble production sites reaches 10(6) ml(-1). From comparison of the model predictions with experimental evidence for bubbles produced in animals and man under decompression, it is concluded that the density of tissue bubbles is likely to have a significant effect on the number of bubbles produced in the blood. However, the density of nucleation sites in the blood is unlikely to be sufficiently high in humans for the formation of bubbles in the blood to have a significant impact on the growth of the bubbles in the tissue.

Blood Gas Analysis↗

A physiological model of the release of gas bubbles from crevices under decompression.

Moving bubbles have been observed in the blood during or after decompression using ultrasonic techniques. It has been proposed that these may grow from nuclei housed on the blood vessel wall. One candidate for bubble nucleation is hydrophobic crevices. This work explores the growth of gas pockets that might exist in conical crevices and the release of bubbles from these crevices under decompression. An existing dynamic mathematical model for the stability of gas pockets in crevices [Chappell, M.A., Payne, S.J., in press. A physiological model of gas pockets in crevices and their behavior under compression. Respir. Physiol. Neurobiol.] is extended to include the behavior as the gas pocket reaches the crevice mouth and bubbles seed into the bloodstream. The behavior of the crevice bubble is explored for a single inert gas, both alone and with metabolic gases included. It was found that the presence of metabolic gases has a significant effect on the behavior under decompression and that this appears to be due to the high diffusivity of these gases.

Algorithms↗

A physiological model of gas pockets in crevices and their behavior under compression.

The formation of bubbles in the body from dissolved gases during decompression causes a range of symptoms, often referred to as Decompression Sickness. It is likely that these bubbles grow from pre-existing nuclei. It has been proposed that such nuclei are pockets of gas that are stabilized against collapse under raised pressure, such as that experienced by deep-sea divers. This work explores the stabilization of gas pockets in crevices, in its application to the nucleation of bubbles in blood vessels. A model has been derived to describe the dynamics of a bubble in a crevice, assuming that gases diffuse in and out of the bubble via the crevice wall from the body tissues surrounding the crevice. The time-varying behavior of the bubble has been examined and it has been shown that a crevice bubble can survive compression by temporary variations in the gas-liquid interface curvature or by shrinking, its behavior being found to be strongly dependent upon the model parameters.

Animals↗

A method for the automated detection of venous gas bubbles in humans using empirical mode decomposition.

Doppler ultrasound signals are widely used to grade the quantity of circulating venous bubbles in divers. Current techniques rely on trained observers, making the grading process both time-consuming and subjective. The automated detection of bubbles, however, is confounded by the presence of other signals, primarily those arising from blood motion. Empirical Mode Decomposition was used here to calculate the intrinsic mode functions (IMFs) of a number of Doppler ultrasound signals from recreational divers, post-decompression. The IMFs provide a basis set for signal decomposition, each IMF corresponding to a different timescale in the signal. Each signal was found to comprise approximately 20 IMFs: the precise number being dependent upon the nature of the signal. A method is presented to detect bubbles using the IMF; features are first identified in the individual heart cycles, these having been previously determined using a robust peak detection method, by examining deviations from the ensemble averaged IMF. Bubbles are then identified as features appearing in more than one IMF, with significant energy in the original signal. This method has been applied to a subset of the available database and appears to perform with good sensitivity even when the signal has variable signal strength.

Artificial Intelligence↗

Automated classification and analysis of the calcium response of single T lymphocytes using a neural network approach.

The gene activities in T lymphocytes that regulate immune responses are influenced by Ca2+ ([Ca2+]i). The intracellular calcium signals are highly heterogeneous and vitally important in determining the immune outcome. The signals in individual cells can be measured using fluorescence microscopy but to group the cells into classes with similar signal kinetics is currently laborious. Here, we demonstrate a method for the automated classification of the responses into four categories formerly identified by an expert's inspection. This method comprises characterising the response by a second-order model, performing frequency analysis, and using derived features as inputs to two multilayer perceptron neural networks (NNs). We compare the algorithm's performance on an example data set against the human classification: it was found to classify identically more than 70% of the data, despite small sample sizes in two categories and significant overlap between the other two classes. The group characterized by an oscillating signal showed the presence of a number of frequencies, which may be important in determining gene activation. A classification threshold enables the automatic identification of patterns with a low-classification certainty. Future refinement of the algorithm may allow the identification of more classes, which may be important in different immune responses associated with disease.

Algorithms↗

Analysis of the effects of gravity and wall thickness in a model of blood flow through axisymmetric vessels.

The effects of gravitational forces and wall thickness on the behaviour of a model of blood flow through axisymmetric vessels were studied. The governing fluid dynamic equations were derived from the Navier-Stokes equations for an incompressible fluid and linked to a simple model of the vessel wall. A closed form of the hyperbolic partial differential equations was found, including a significant source term from the gravitational forces. The inclination of the vessel is modelled using a slope parameter that varied between -1 and 1. The wave speed was shown to be related to the wall thickness, and the time to first shock formation was shown to be directly proportional to this thickness. Two non-dimensional parameters were derived for the ratio of gravitational forces to viscous and momentum forces, respectively, and their values were calculated for the different types of vessel found in the human vasculature, showing that gravitational forces were significant in comparison with either viscous or momentum forces for every type of vessel. The steady-state solution of the governing equations showed that gravitational forces cause an increase in area of approximately 5% per metre per unit slope. Numerical simulations of the flow field in the aorta showed that a positive slope causes a velocity pulse to change in amplitude approximately linearly with distance: -4% per metre and +5% per metre for vessels inclined vertically upwards and downwards, respectively, in comparison with only +0.5% for a horizontal vessel. These simulations also showed that the change relative to the zero slope condition in the maximum rate of change of area with distance, which was taken to be a measure of the rate of shock formation, is proportional to both the slope and the wall thickness-to-inner radius ratio, with a constant of proportionality of 1.2. At a ratio of 0.25, typical of that found in human arteries, the distance to shock formation is thus decreased and increased by 30% for vessels inclined vertically downwards and upwards, respectively. Gravity and wall thickness thus have a significant impact on a number of aspects of the fluid and wall behaviour, despite conventionally being neglected.

Aorta↗

The prevalence and clinical significance of autoantibodies to plasminogen activator inhibitor 1 in systemic lupus erythematosus.

We have recently described the novel autoantigen plasminogen activator inhibitor (PAI-1) in systemic lupus erythematosus (SLE). The aim of this study was to determine the prevalence and clinical significance of anti-PAI-1 autoantibodies in patients with SLE. Autoantibodies to recombinant PAI-1 were measured in retrospective sera of 48 lupus patients by immunoassay in order to assess their clinical significance. This showed that 71% of sera from 48 lupus patients had significantly elevated anti-PAI-1 autoantibodies as compared with normal control subjects (P < 0.0001). There was a weak but significant (P < 0.043) correlation with anti-dsDNA autoantibodies. In longitudinal studies, autoantibodies against PAI-1 correlated with clinical parameters measured by the BILAG disease activity index including global clinical score. Our study demonstrates the high frequency of novel autoantibodies to PAI-1 in patients with lupus. The serial clinical correlations with anti-PAI-1 autoantibodies also support the hypothesis that these autoantibodies may play a pathogenic role in lupus.

Adult↗

Incidental memory and navigation in panoramic virtual reality for electronic commerce.

Recently much effort has been dedicated to designing and implementing World Wide Web sites for virtual shopping and e-commerce. Despite this effort, relatively little empirical work has been done to determine the effectiveness with which different site designs sell products. We report three experiments in which participants were asked to search for products in various experimental e-commerce sites. Across the experiments participants were asked to search in either QTVR (QuickTime Virtual Reality), hypertext, or pictorially rich hypertext environments; they were then tested for their ability to recall the products seen and to recognize product locations. The experiments demonstrated that when using QTVR (Experiments 1, 2, and 3) or pictorial environments (Experiment 2), participants retained more information about products that were incidental to their goals. In two of the experiments it was shown that participants navigated more efficiently when using a QTVR environment. The costs and benefits of using 3D virtual environments for on-line shops are discussed. Actual or potential applications of this research include support for the development of e-commerce design guidelines.

Adult↗

Interleaving reading and acting while following procedural instructions.

Memory for an interactive procedure acquired from written instructions is improved if the procedure can be carried out while the instructions are being read. The size of the read-act cycle was manipulated in Experiments 1 and 2 by comparing chunked instruction-following, in which 3 or 4 steps are read then performed with single-step conditions. In both experiments, enforced chunking improved subsequent unaided performance of the procedure. In Experiment 3, participants were allowed to manage the interleaving of reading and acting. The imposition of a small behavioral cost (a single mouse point-and-click operation) on the switch between instructions and device encouraged more chunking and better subsequent test performance. The authors concluded that the interleaving of reading and acting is an important practical concern in the design of interactive procedures and that more effective chunk-based strategies can quite readily be encouraged.

Adult↗

Strategic use of familiarity in display-based problem solving.

The authors report 4 experiments that investigated the role of recognition memory and plausibility in a display-based problem-solving task (computer menu search). It was found that both the familiarity of options and their plausibility played a role in determining choices when the correct options could not be recollected. The use of familiarity was adaptive: Participants relied less on familiarity when it was a less valid guide to correct choices. The implications of these findings for theories of problem solving and learning are discussed.

Adolescent↗

Long-term memory for spatial and temporal mental models includes construction processes and model structure.

There is a strong case that people construct and manipulate mental models in working memory but relatively little evidence that mental models are preserved in long-term memory. Instead people may remember an episodic construction trace: a record of the operations used to construct a mental model (Payne, 1993). Experiment 1 investigated memory for determinate spatial descriptions (which describe a single configuration of objects) and indeterminate spatial descriptions (which describe two equally plausible configurations). Recognition performance was impaired when the overlap between the episodic construction trace of a description at learning and at test was disrupted by reordering the sentences within a description. Participants were better at remembering the gist of determinate descriptions than that of indeterminate descriptions. For indeterminate descriptions, provided differences in gist recognition were controlled, participants showed better memory for the original description. Experiment 2 showed a similar pattern of results with temporal descriptions. A third experiment manipulated the similarity between foils in the recognition test and the original descriptions to provide further evidence for both episodic construction trace and remembered mental models. In combination, these results favour a hybrid account of memory for mental models, which includes information about both construction processes and model structure.

Adult↗

Recognition memory for sentences from spatial descriptions: a test of the episodic construction trace hypothesis.

Many researchers believe that when people read spatial descriptions, they construct mental models of the configurations described. Payne (1993) proposed that reading a spatial description produces a memory of the operations used to construct a mental model, an episodic construction trace. The episodic construction trace hypothesis predicts that memory for a spatial description will be influenced by the degree of overlap between the construction processes required by the original description and the construction processes prompted by an item in a recognition test. The two experiments reported here show that readers of spatial descriptions are more likely to accept sentences in a recognition test that are consistent with the operations used to construct a mental model than to accept sentences that are inconsistent. Consistency with the episodic construction trace leads to both correct recognition of verbatim sentences from the original description and false recognition of sentences that were not present in the original descriptions.

Adult↗

The effects of operator implementation cost on planfulness of problem solving and learning.

This paper explores the idea that problem solving search strategies are chosen so as to optimize performance within the constraints of a particular situation. Four experiments are reported that examine the hypothesis that the cost of performing an operation affects "planfulness"--the level of planning during problem solving. The first experiment investigated problem solving with the 8-puzzle and compared strategies adopted when there was a high versus a low cost of making a move, manipulating cost in terms of command length. The second experiment used protocol analysis to provide more direct evidence for increased planning. The third and fourth experiments looked at the effects of these different strategies on learning: the third examined how problem solving performance on a direct manipulation interface is affected by prior problem solving experience in the same domain with either a high cost or low cost command-driven interface, demonstrating improved performance as a result of training on an interface with high cost operations; the fourth experiment, like the third, examined the effects of prior problem solving experience with either a high cost or low cost interface on subsequent problem solving performance in a different domain using a direct manipulation interface showing no effect to training interface on subsequent performance.

Adult↗