1,973 research outputs found

    From whole-brain data to functional circuit models: the zebrafish optomotor response

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    Detailed descriptions of brain-scale sensorimotor circuits underlying vertebrate behavior remain elusive. Recent advances in zebrafish neuroscience offer new opportunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional perturbations, and network modeling. Here, we harness these tools to generate a brain-scale circuit model of the optomotor response, an orienting behavior evoked by visual motion. We show that such motion is processed by diverse neural response types distributed across multiple brain regions. To transform sensory input into action, these regions sequentially integrate eye- and direction-specific sensory streams, refine representations via interhemispheric inhibition, and demix locomotor instructions to independently drive turning and forward swimming. While experiments revealed many neural response types throughout the brain, modeling identified the dimensions of functional connectivity most critical for the behavior. We thus reveal how distributed neurons collaborate to generate behavior and illustrate a paradigm for distilling functional circuit models from whole-brain data

    The ‘Dark Side’ and ‘Bright Side’ of Personality: When Too Much Conscientiousness and Too Little Anxiety Are Detrimental with Respect to the Acquisition of Medical Knowledge and Skill

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    Theory suggests that personality traits evolved to have costs and benefits, with the effectiveness of a trait dependent on how these costs and benefits relate to the present circumstances. This suggests that traits that are generally viewed as positive can have a ‘dark side’ and those generally viewed as negative can have a ‘bright side’ depending on changes in context. We test this in a sample of 220 UK medical students with respect to associations between the Big 5 personality traits and learning outcomes across the 5 years of a medical degree. The medical degree offers a changing learning context from pre-clinical years (where a more methodical approach to learning is needed) to the clinical years (where more flexible learning is needed, in a more stressful context). We argue that while trait conscientiousness should enhance pre-clinical learning, it has a ‘dark side’ reducing the acquisition of knowledge in the clinical years. We also suggest that anxiety has a ‘bright side’ enhancing the acquisition of skills in the clinical years. We also explore if intelligence enhances learning across the medical degree. Using confirmatory factor analysis and structural equation modelling we show that medical skills and knowledge assessed in the pre-clinical and clinical years are psychometrically distinguishable, forming a learning ‘backbone’, whereby subsequent learning outcomes are predicted by previous ones. Consistent with our predictions conscientiousness enhanced preclinical knowledge acquisition but reduced the acquisition of clinical knowledge and anxiety enhanced the acquisition of clinical skills. We also identified a curvilinear U shaped association between Surgency (extraversion) and pre-clinical knowledge acquisition. Intelligence predicted initial clinical knowledge, and had a positive total indirect effect on clinical knowledge and clinical skill acquisition. For medical selection, this suggests that selecting students high on conscientiousness may be problematic, as it may be excluding those with some degree of moderate anxiety

    Secondary user relations in emerging mobile computing environments

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    Mobile technologies are enabling access to information in diverse environ.ments, and are exposing a wider group of individuals to said technology. Therefore, this paper proposes that a wider view of user relations than is usually considered in information systems research is required. Specifically, we examine the potential effects of emerging mobile technologies on end-­‐user relations with a focus on the ‘secondary user’, those who are not intended to interact directly with the technology but are intended consumers of the technology’s output. For illustration, we draw on a study of a U.K. regional Fire and Rescue Service and deconstruct mobile technology use at Fire Service incidents. Our findings provide insights, which suggest that, because of the nature of mobile technologies and their context of use, secondary user relations in such emerging mobile environments are important and need further exploration

    A pharmacist-led intervention for increasing the uptake of Home Medicines Review (HMR) among residents of retirement villages (PHARMER): protocol for a cluster randomised controlled trial

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    <p>Abstract</p> <p>Background</p> <p>The majority of retirement village residents are at risk of medication misadventure. In a recent survey of retirement village residents in Victoria, two-thirds had at least one medication-related risk factor, and hence were eligible to receive a government-subsidised Home Medicines Review (HMR). However, only 6% of eligible residents had received a HMR in the previous 12 months. Reasons for the poor uptake of HMR, and interventions for improving HMR uptake, have been identified and developed with input from stakeholders. The trial will test the effect of <b>P</b>harmacist-conducted <b>H</b>MR to <b>A</b>ddress the <b>R</b>isk of <b>M</b>edication-related <b>E</b>vents in <b>R</b>etirement Villages (PHARMER) in improving the uptake of HMRs among retirement village residents.</p> <p>Methods/Design</p> <p>This is a multicentre prospective cluster randomised controlled trial. Ten retirement villages in Victoria, Australia will be recruited for this trial. Retirement villages will be selected in consultation with the Residents of Retirement Villages Victoria Inc. (RRVV), based on geographical locations (e.g. northeast or southwest), size and other factors. Residents from selected villages will be recruited with the help of RRVV Resident Liaison Officers using a range of strategies. Randomisation will be by geographical location to minimise contamination. Participating villages and residents will be allocated to either Pharmacist Intervention Group (PIG) or Usual Care Group (UCG). Each group will include five retirement villages and will have at least 77 residents in total. The intervention (PHARMER) comprises educating residents regarding HMR, and using a risk assessment checklist by residents to notify their General Practitioners of their medication risk. Uptake of HMR and medication adherence will be assessed in both PIG and UCG at three and six months using telephone interviews and questionnaires.</p> <p>Discussion</p> <p>This study is the first to develop and test an intervention to improve the uptake of HMR among Australian residents in retirement villages, with a view to decreasing medication risk. A multi-faceted interventional approach will be used as suggested by stakeholders. The trial is expected to be complete by late 2011 and results will be available in 2012.</p> <p>Trial Registration</p> <p>Australian New Zealand Clinical Trials Registry (<a href="http://www.anzctr.org.au/ACTRN12611000109909.aspx">ACTRN12611000109909</a>)</p

    Spatial Guilds in the Serengeti Food Web Revealed by a Bayesian Group Model

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    Food webs, networks of feeding relationships among organisms, provide fundamental insights into mechanisms that determine ecosystem stability and persistence. Despite long-standing interest in the compartmental structure of food webs, past network analyses of food webs have been constrained by a standard definition of compartments, or modules, that requires many links within compartments and few links between them. Empirical analyses have been further limited by low-resolution data for primary producers. In this paper, we present a Bayesian computational method for identifying group structure in food webs using a flexible definition of a group that can describe both functional roles and standard compartments. The Serengeti ecosystem provides an opportunity to examine structure in a newly compiled food web that includes species-level resolution among plants, allowing us to address whether groups in the food web correspond to tightly-connected compartments or functional groups, and whether network structure reflects spatial or trophic organization, or a combination of the two. We have compiled the major mammalian and plant components of the Serengeti food web from published literature, and we infer its group structure using our method. We find that network structure corresponds to spatially distinct plant groups coupled at higher trophic levels by groups of herbivores, which are in turn coupled by carnivore groups. Thus the group structure of the Serengeti web represents a mixture of trophic guild structure and spatial patterns, in contrast to the standard compartments typically identified in ecological networks. From data consisting only of nodes and links, the group structure that emerges supports recent ideas on spatial coupling and energy channels in ecosystems that have been proposed as important for persistence.Comment: 28 pages, 6 figures (+ 3 supporting), 2 tables (+ 4 supporting

    Impact of generic alendronate cost on the cost-effectiveness of osteoporosis screening and treatment

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    Introduction: Since alendronate became available in generic form in the Unites States in 2008, its price has been decreasing. The objective of this study was to investigate the impact of alendronate cost on the cost-effectiveness of osteoporosis screening and treatment in postmenopausal women. Methods: Microsimulation cost-effectiveness model of osteoporosis screening and treatment for U.S. women age 65 and older. We assumed screening initiation at age 65 with central dual-energy x-ray absorptiometry (DXA), and alendronate treatment for individuals with osteoporosis; with a comparator of "no screening" and treatment only after fracture occurrence. We evaluated annual alendronate costs of 20through20 through 800; outcome measures included fractures; nursing home admission; medication adverse events; death; costs; quality-adjusted life-years (QALYs); and incremental cost-effectiveness ratios (ICERs) in 2010 U.S. dollars per QALY gained. A lifetime time horizon was used, and direct costs were included. Base-case and sensitivity analyses were performed. Results: Base-case analysis results showed that at annual alendronate costs of 200orless,osteoporosisscreeningfollowedbytreatmentwascostsaving,resultinginlowertotalcoststhannoscreeningaswellasmoreQALYs(10.6additionalqualityadjustedlifedays).Whenassumingalendronatecostsof200 or less, osteoporosis screening followed by treatment was cost-saving, resulting in lower total costs than no screening as well as more QALYs (10.6 additional quality-adjusted life-days). When assuming alendronate costs of 400 through 800,screeningandtreatmentresultedingreaterlifetimecoststhannoscreeningbutwashighlycosteffective,withICERsrangingfrom800, screening and treatment resulted in greater lifetime costs than no screening but was highly cost-effective, with ICERs ranging from 714 per QALY gained through 13,902perQALYgained.Probabilisticsensitivityanalysesrevealedthatthecosteffectivenessofosteoporosisscreeningfollowedbyalendronatetreatmentwasrobusttojointinputparameterestimatevariationatawillingnesstopaythresholdof13,902 per QALY gained. Probabilistic sensitivity analyses revealed that the cost-effectiveness of osteoporosis screening followed by alendronate treatment was robust to joint input parameter estimate variation at a willingness-to-pay threshold of 50,000/QALY at all alendronate costs evaluated. Conclusions: Osteoporosis screening followed by alendronate treatment is effective and highly cost-effective for postmenopausal women across a range of alendronate costs, and may be cost-saving at annual alendronate costs of $200 or less. © 2012 Nayak et al
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