Trastornos de autoagresión hacia las uñas. Autoagressive nail disoreders

Background and objective: Autoaggressive nail disorders span a wide range of clinical changes, but they often remain undiagnosed. This article is intended to help the practitioner to make the correct diagnosis and institute an accepted treatment. Material and method: The patient charts of 1800 patients seen by the author between the years 2000-2011 in 6 different European countries were evaluated using photographs of finger and toenails. Results: The most common condition is onycholysis induced by overzealous manicure. The habit tic of maniacally pushing back the proximal nail fold of one or both thumb nails is frequent and often misdiagnosed. Heller’s median canaliform dystrophy is probably also due to a similar injury mechanism. Onychophagia is relatively com- mon and seen both in children and adults. Onychotillomania is less frequent and almost exclusively seen in adults. Onychotemnomania is even less frequent. Onychoteiromania is sowhere between the latter two habits. Onychodaknomania is exceptional and usually a sign of an underlying psychiatric disorder. There was no substantial difference in the prevalence of these conditions among the different countries visited. Conclusions: Auto aggressive nail injury is common, but often difficult to diagnose. Patient care requires not only an in-depth knowledge of virtually all nail diseases, but also a cautious and empathic patient examination and treatment

Using virtual reality to teach special populations how to cope in crisis: the case of a virtual earthquake

The unique characteristics of special populations such as pre-school children and Down syndrome kids in crisis and their distorted self-image were never studied before, because of the difficulty of crisis reproduction. This study proposes a VR setting that tries to model some special population's behaviour in the time of crises and offers them a training scenario. The sample population consisted of 30 pre-school children and 20 children with Down syndrome. The VR setting involved a high-speed PC, a VPL EyePhone 1, a MR toolkit, a vibrations plate, a motion capture system and other sensors. The system measured and modelled the typical behaviour of these special populations in a Virtual Earthquake scenario with sight and sound and calculated a VR anthropomorphic model that reproduced their behaviour and emotional state. Afterwards one group received an emotionally enhanced VR self-image as feedback for their training, one group received a plain VR self-image and another group received verbal instructions. The findings strongly suggest that the training was a lot more biased by the emotionally enhanced VR self-image than the other approaches. These findings could highlight the special role of the self-image to therapy and training and the interesting role of imagination to emotions, motives and learning. Further studies could be done with various scenarios in order to measure the best-biased behaviour and establish the most natural and affective VR model. This presentation is going to highlight the main findings and some theories behind them.