Residual Effects of Combat-Related Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) has gained considerable notoriety during the past decade of conflict in Afghanistan and Iraq. However, the relationship between combat-related mTBI and residual mTBI symptoms, post-traumatic stress disorder (PTSD) symptoms, and neurocognitive deficits remains unclear. The purpose of the study was to compare residual mTBI and PTSD symptoms, and neurocognitive deficits among U.S. Army Special Operations Command (USASOC) personnel with diagnosed blunt, blast, and blast-blunt combination mTBIs. This study involved a retrospective medical records review of 27,169 USASOC personnel who completed a military version of the Immediate Post-Concussion Assessment Cognitive Test (ImPACT), Post-Concussion Symptom Scale (PCSS), and PTSD Checklist (PCL) between November 2009 and December 2011. Of the 22,203 personnel who met criteria for the study, 2,813 (12.7%) had a diagnosis of at least one mTBI. A total of 28% (n=410) of USASOC personnel with a history of diagnosed mTBI reported clinical levels of PTSD symptoms. Personnel with a history of diagnosed blunt (OR=3.58), blast (OR=4.23) or combination (OR=5.73) mTBI were at significantly (p=0.001) greater risk of reporting clinical levels of PTSD symptoms than those with no history of mTBI. A dose-response gradient for exposure to blast/combination mTBI on clinical levels of PTSD symptoms was also significant (p=0.001). Individuals with blast/combination mTBIs scored higher in residual mTBI (p=0.001) and PTSD symptoms (p=0.001), and performed worse on tests of visual memory (p=0.001), and reaction time (p=0.001) than those with blunt or no mTBI history. Individuals with combination mTBIs scored lower in verbal memory (p=0.02) than those with blunt mTBIs. Residual PTSD and mTBI symptoms appear to be more prevalent in personnel with blast mTBI. A dose-response gradient for blast mTBI and symptoms suggests that repeated exposures to these injuries may have lingering effects

Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images

© 2020, Springer Nature Switzerland AG. Recent methods for 6D pose estimation of objects assume either textured 3D models or real images that cover the entire range of target poses. However, it is difficult to obtain textured 3D models and annotate the poses of objects in real scenarios. This paper proposes a method, Neural Object Learning (NOL), that creates synthetic images of objects in arbitrary poses by combining only a few observations from cluttered images. A novel refinement step is proposed to align inaccurate poses of objects in source images, which results in better quality images. Evaluations performed on two public datasets show that the rendered images created by NOL lead to state-of-the-art performance in comparison to methods that use 13 times the number of real images. Evaluations on our new dataset show multiple objects can be trained and recognized simultaneously using a sequence of a fixed scene

A survey on inspecting structures using robotic systems

Advancements in robotics and autonomous systems are being deployed nowadays in many application domains such as search and rescue, industrial automation, domestic services and healthcare. These systems are developed to tackle tasks in some of the most challenging, labour intensive and dangerous environments. Inspecting structures (e.g. bridges, buildings, ships, wind turbines and aircrafts) is considered a hard task for humans to perform and of critical importance since missing any details could affect the structure’s performance and integrity. Additionally, structure inspection is time and resource intensive and should be performed as efficiently and accurately as possible. Inspecting various structures has been reported in the literature using different robotic platforms to: inspect difficult to reach areas and detect various types of faults and anomalies. Typically, inspection missions involve performing three main tasks: coverage path planning, shape, model or surface reconstruction and the actual inspection of the structure. Coverage path planning ensures the generation of an optimized path that guarantees the complete coverage of the structure of interest in order to gather highly accurate information to be used for shape/model reconstruction. This article aims to provide an overview of the recent work and breakthroughs in the field of coverage path planning and model reconstruction, with focus on 3D reconstruction, for the purpose of robotic inspection

Tau Reduction Diminishes Spatial Learning and Memory Deficits after Mild Repetitive Traumatic Brain Injury in Mice

<div><p>Objective</p><p>Because reduction of the microtubule-associated protein Tau has beneficial effects in mouse models of Alzheimer's disease and epilepsy, we wanted to determine whether this strategy can also improve the outcome of mild traumatic brain injury (TBI).</p><p>Methods</p><p>We adapted a mild frontal impact model of TBI for wildtype C57Bl/6J mice and characterized the behavioral deficits it causes in these animals. The Barnes maze, Y maze, contextual and cued fear conditioning, elevated plus maze, open field, balance beam, and forced swim test were used to assess different behavioral functions. Magnetic resonance imaging (MRI, 7 Tesla) and histological analysis of brain sections were used to look for neuropathological alterations. We also compared the functional effects of this TBI model and of controlled cortical impact in mice with two, one or no <i>Tau</i> alleles.</p><p>Results</p><p>Repeated (2-hit), but not single (1-hit), mild frontal impact impaired spatial learning and memory in wildtype mice as determined by testing of mice in the Barnes maze one month after the injury. Locomotor activity, anxiety, depression and fear related behaviors did not differ between injured and sham-injured mice. MRI imaging did not reveal focal injury or mass lesions shortly after the injury. Complete ablation or partial reduction of tau prevented deficits in spatial learning and memory after repeated mild frontal impact. Complete tau ablation also showed a trend towards protection after a single controlled cortical impact. Complete or partial reduction of tau also reduced the level of axonopathy in the corpus callosum after repeated mild frontal impact.</p><p>Interpretation</p><p>Tau promotes or enables the development of learning and memory deficits and of axonopathy after mild TBI, and tau reduction counteracts these adverse effects.</p></div