GM1 Gangliosidosis, Late Infantile Onset Dystonia, and T2 Hypointensity in the Globus Pallidus and Substantia Nigra

BACKGROUND: GM1 gangliosidosis is a rare disease due to mutations in the GLB1 gene and autosomal recessive deficiency of b-galactosidase. There is considerable overlap between classical phenotypes and clinical and imaging findings, which are often difficult to interpret. PATIENT: The patient in this study had dysmorphism, dysostosis, progressive dystonia, and T2 hypointensity in the basal ganglia. Partially similar clinical and radiologic findings were described previously in two reports. CONCLUSIONS: T2 hypointensity in the globus pallidus should, in the appropriate clinical setting, lead to consideration of thediagnosis of GM1 gangliosidosis.

Cell-based computational modeling of vascular morphogenesis using Tissue Simulation Toolkit.

Computational modeling has become a widely used tool for unraveling the mechanisms of higher level cooperative cell behavior during vascular morphogenesis. However, experimenting with published simulation models or adding new assumptions to those models can be daunting for novice and even for experienced computational scientists. Here, we present a step-by-step, practical tutorial for building cell-based simulations of vascular morphogenesis using the Tissue Simulation Toolkit (TST). The TST is a freely available, open-source C++ library for developing simulations with the two-dimensional cellular Potts model, a stochastic, agent-based framework to simulate collective cell behavior. We will show the basic use of the TST to simulate and experiment with published simulations of vascular network formation. Then, we will present step-by-step instructions and explanations for building a recent simulation model of tumor angiogenesis. Demonstrated mechanisms include cell-cell adhesion, chemotaxis, cell elongation, haptotaxis, and haptokinesis.

A modified Hortega-Globus stain is superior to Bielschowsky and Bodian stains for demonstrating neuritic plaques.

The quantitative assessment of the age-dependent number of neuritic plaques is essential for the diagnosis of Alzheimer type dementia. This study reports the superiority of a modified Hortega-Globus stain compared to Bielschowsky and Bodian stains applied to samples obtained from ten brains of patients with a clinical history of progressive dementia. In two of ten cases only the modified Hortega-Globus stain allowed confirmation of the diagnosis of senile dementia of the Alzheimer type (SDAT). The counts of neuritic plaques in sections stained by other methods were not sufficient to establish the histological diagnosis of SDAT. These results indicate that the choice of the most sensitive staining method is critical for the correct histopathologic diagnosis of the Alzheimer type dementia.

Health inequalities: A toolkit to support local conversations

The National Conversation on Health Inequalities is a programme by Public Health England to start a conversation with the public about health inequalities and solutions to reduce these inequalities. This toolkit shows you how to start a conversation in your community.

Health Inequalities Intervention Toolkit

This Health Inequalities Intervention Toolkit, developed jointly by the Association of Public Health Observatories and the Department of Health, focuses on improving life expectancy and infant mortality rates, especially in disadvantaged areas. Based on local authority boundaries, it is designed to assist evidence-based local service planning and commissioning, including Joint Strategic Needs Assessments. The Toolkit does this by providing information on the diseases, which are causing low life expectancy in individual areas, enabling good local priority setting. The Toolkit was originally designed to support achievement of the national Public Service Agreement target to: "Reduce health inequalities by 10% by 2010 as measured by infant mortality and life expectancy at birth." Although the PSA target has now ended, the Toolkit should still be useful to the NHS and local government, supporting planning to narrow inequalities in life expectancy and infant mortality

Nutrition + Food Poverty Toolkit

This new toolkit aims to help professionals tackle food poverty at local level. Nutrition + Food Poverty Toolkit brings together in one volume information essential to developing a local food poverty strategy.

Food Co-ops Toolkit

More and more communities are setting up food co-ops so they can get good food atan affordable price and have more control over where their food comes from. Co-operation is all about two or more people joining forces and working together to achieve something they probably couldn't do on their own. In the case of food co-ops a group of people join forces in order to be able to buy foodsthey may otherwise find it hard to get hold of at aprice they can afford.By volunteering their time and pooling their buying power they cangetproducedirect from local farmers or wholesalers. This toolkit was produced as part of the Big Lottery fundedMaking Local Food Work programmeto help morecommunitiesset up their own food co-ops and buying groups.The Food Co-ops project has now ended but the toolkit and other resources will all remain on-line.To find moreabout food co-opsyou can visit our main website www.foodcoops.org

Clinical Nurse Specialist Job Planning Toolkit

Clinical Nurse Specialist Job Planning ToolkitThe toolkit is the first of its kind for clinical nurse specialists in Northern Ireland and has been achieved in partnership with PHA, NIPEC, the Health and Social Care Trusts, Northern Ireland Cancer Network, and the Royal College of Nursing.�

Job Planning Guidance Toolkit for Clinical Nurse Specialist Roles

This job planning toolkit has been developed by the Public Health Agency (PHA) in partnership with the Northern Ireland Practice and Education Council for Nursing and Midwifery (NIPEC). This job planning toolkit was designed for nurses in roles who have the title Clinical Nurse Specialist and carry a defined caseload of patients and/or run their own clinics. The toolkit provides information to support: ��.������������ Clinical Nurse Specialists in meeting the requirements of their job

Ethnic Minorities Mental Health Toolkit - a guide for practitioners

This toolkit considers how mental health is viewed in different cultures, barriers to accessing services, cultural competences in mental health, 'dos and don'ts' quick reference guide. There is also information on interpreting and translation services as well as other support organisations that practitioners can refer clients to.

Dopamine reverses reward insensitivity in apathy following globus pallidus lesions.

Apathy is a complex, behavioural disorder associated with reduced spontaneous initiation of actions. Although present in mild forms in some healthy people, it is a pathological state in conditions such as Alzheimer's and Parkinson's disease where it can have profoundly devastating effects. Understanding the mechanisms underlying apathy is therefore of urgent concern but this has proven difficult because widespread brain changes in neurodegenerative diseases make interpretation difficult and there is no good animal model. Here we present a very rare case with profound apathy following bilateral, focal lesions of the basal ganglia, with globus pallidus regions that connect with orbitofrontal (OFC) and ventromedial prefrontal cortex (VMPFC) particularly affected. Using two measures of oculomotor decision-making we show that apathy in this individual was associated with reward insensitivity. However, reward sensitivity could be established partially with levodopa and more effectively with a dopamine receptor agonist. Concomitantly, there was an improvement in the patient's clinical state, with reduced apathy, greater motivation and increased social interactions. These findings provide a model system to study a key neuropsychiatric disorder. They demonstrate that reward insensitivity associated with basal ganglia dysfunction might be an important component of apathy that can be reversed by dopaminergic modulation.

Disseny, desenvolupament i integració d'una nova capa presentació mitjançant Google Web Toolkit per a l'aplicació d'innovació docent InnovaCampus

InnovaCampus és una aplicació d'innovació docent que proporciona a la comunitat educativa una eina online d'autoavaluació per a estudiants universitaris. Aquesta eina permet als estudiants avaluar els seus coneixements i als professors analitzar-ne els resultats per tal d'extreure'n les corresponents conclusions. L'eina ha evolucionat any a any, i recentment s'ha dut a terme un redisseny de l'aplicació per tal d'aconseguir una aplicació modular utilitzant una arquitectura de tres capes que afavoreixi a futures ampliacions. Les capes de persistència i de negoci han estat desenvolupades en una primera fase del redisseny i la capa de presentació és la que dóna lloc al present projecte. Així doncs, el projecte consisteix en dissenyar, desenvolupar i integrar una nova capa de presentació de l'aplicació, amb la finalitat de proporcionar una interfície interactiva, àgil i eficient per tal d'obtenir un entorn amigable amb propietats visuals avançades. Tot plegat es pretén aconseguir integrant el framework Google Web Toolkit a l'estructura ja creada mitjançant el framework Spring i JPA.

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/

ABCtoolbox: a versatile toolkit for approximate Bayesian computations.

BACKGROUND: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations. RESULTS: Here we present ABCtoolbox, a series of open source programs to perform Approximate Bayesian Computations (ABC). It implements various ABC algorithms including rejection sampling, MCMC without likelihood, a Particle-based sampler and ABC-GLM. ABCtoolbox is bundled with, but not limited to, a program that allows parameter inference in a population genetics context and the simultaneous use of different types of markers with different ploidy levels. In addition, ABCtoolbox can also interact with most simulation and summary statistics computation programs. The usability of the ABCtoolbox is demonstrated by inferring the evolutionary history of two evolutionary lineages of Microtus arvalis. Using nuclear microsatellites and mitochondrial sequence data in the same estimation procedure enabled us to infer sex-specific population sizes and migration rates and to find that males show smaller population sizes but much higher levels of migration than females. CONCLUSION: ABCtoolbox allows a user to perform all the necessary steps of a full ABC analysis, from parameter sampling from prior distributions, data simulations, computation of summary statistics, estimation of posterior distributions, model choice, validation of the estimation procedure, and visualization of the results.