The various forms of sensorimotor plasticity following limb amputation and their link with rehabilitation strategies.

Limb amputation is characterized by complex and intermingled brain reorganization processes combining sensorimotor deprivation induced by the loss of the limb per se, and compensatory behaviors, such as the over-use of the intact or remaining limb. While a large body of evidence documents sensorimotor representation plasticity following arm amputation, less investigations have been performed to fully understand the use-dependent plasticity phenomenon and the role of behavioral compensation in brain reorganization. In this article, I will review the findings on sensorimotor plasticity after limb amputation, focusing on these two aspects: sensorimotor deprivation and adaptive patterns of limb usage, and describe the models that attempt to link these reorganizational processes with phantom limb pain. Two main models have been proposed: the maladaptive plasticity model which states that the reorganization of the adjacent cortical territories into the representation of the missing limb is proportional to phantom pain intensity, and the persistent representation model, which rather suggests that the intensity of residual brain activity associated with phantom hand movements scales with phantom limb pain intensity. I will finally illustrate how this fundamental research helps designing new therapeutic strategies for phantom plain relief.

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications, systematically compare and validate the simulation outputs against observational or benchmark data, and run simulations conveniently on any platform from the desktop to current multi-petascale computers. In this sequel to our paper on VECMAtk which we presented last year [1] we focus on a range of functional and performance improvements that we have introduced, cover newly introduced components, and applications examples from seven different domains such as conflict modelling and environmental sciences. We also present several implemented patterns for UQ/SA and V&V, and guide the reader through one example concerning COVID-19 modelling in detail. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico'.

Automatized set-up procedure for transcranial magnetic stimulation protocols.

Transcranial Magnetic Stimulation (TMS) established itself as a powerful technique for probing and treating the human brain. Major technological evolutions, such as neuronavigation and robotized systems, have continuously increased the spatial reliability and reproducibility of TMS, by minimizing the influence of human and experimental factors. However, there is still a lack of efficient set-up procedure, which prevents the automation of TMS protocols. For example, the set-up procedure for defining the stimulation intensity specific to each subject is classically done manually by experienced practitioners, by assessing the motor cortical excitability level over the motor hotspot (HS) of a targeted muscle. This is time-consuming and introduces experimental variability. Therefore, we developed a probabilistic Bayesian model (AutoHS) that automatically identifies the HS position. Using virtual and real experiments, we compared the efficacy of the manual and automated procedures. AutoHS appeared to be more reproducible, faster, and at least as reliable as classical manual procedures. By combining AutoHS with robotized TMS and automated motor threshold estimation methods, our approach constitutes the first fully automated set-up procedure for TMS protocols. The use of this procedure decreases inter-experimenter variability while facilitating the handling of TMS protocols used for research and clinical routine.

Success factors for the future survival of rural hospitals.

Rural hospitals are among those at greatest risk in the changing world of healthcare delivery. There are, however, those that are continuing to thrive despite the odds. The common thread among these are factors found in select Midwest rural hospitals.

[Primary intracranial and intraspinal neoplasms in Denmark 1943-1987]. / Primaere intrakraniale og intraspinale neoplasmer i Danmark 1943-1987.

This is a descriptive study of primary intracranial and intraspinal tumours notified to the national Danish Cancer Registry during the years 1943-1987. A total of 19,317 cases of benign and malignant neoplasms were included over these 45 years with a doubling of the age-standardized incidence rates for both men and women from start till end of the registration period. The trend was mainly explained by markedly increasing rates in the age groups 60 years or above at diagnosis. Approximately some 74% of tumours were derived from the brain tissues and 19% from the intracranial and intraspinal meninges. Meningiomas predominate among women with a male:female ratio of 0.5, while tumours of the brain tissues predominate among men (ratio 1.3). Meningiomas are more frequently encountered as a chance finding at autopsy compared to other types of intracranial and intraspinal tumours. The above-mentioned increase in age-specific incidence is due mainly to improved diagnostic capabilities over the period and a subsequent decrease in the underreporting of these tumour types.