Browse Topic: Nervous system

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ABSTRACT In this paper, we discuss a neuroimaging experiment that employed a mission-based scenario (MBS) design, a new approach for designing experiments in simulated environments for human subjects [1]. This approach aims to enhance the realism of the Soldier-task-environment interaction by eliminating many of the tightly-scripted elements of a typical laboratory experiment; however, the absence of these elements introduces several challenges for both the experimental design and statistical analysis of the experimental data. Here, we describe an MBS experiment using a simulated, closed-hatch crewstation environment. For each experimental session, two Soldiers participated as a Commander-Driver team to perform six simulated low-threat security patrol missions. We discuss challenges faced while designing and implementing the experiment before addressing analysis approaches appropriate for this type of experimentation. We conclude by highlighting three example transition pathways from
Vettel, Jean M.Lance, Brent J.Manteuffel, ChrisJaswa, MatthewCannon, MarcelJohnson, TonyPaul, VictorOie, Kelvin S.
ABSTRACT Recent advances in neuroscience, signal processing, machine learning, and related technologies have made it possible to reliably detect brain signatures specific to visual target recognition in real time. Utilizing these technologies together has shown an increase in the speed and accuracy of visual target identification over traditional visual scanning techniques. Images containing a target of interest elicit a unique neural signature in the brain (e.g. P300 event-related potential) when detected by the human observer. Computer vision exploits the P300-based signal to identify specific features in the target image that are different from other non-target images. Coupling the brain and computer in this way along with using rapid serial visual presentation (RSVP) of the images enables large image datasets to be accurately interrogated in a short amount of time. Together this technology allows for potential military applications ranging from image triaging for the image analyst
Ries, Anthony J.Lance, BrentSajda, Paul
A research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that was installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain’s electrical activity during the immersive VR interactions
Researchers have created a flexible paper-based sensor that operates like the human brain. They fabricated a photo-electronic artificial synapse device composed of gold electrodes on top of a 10 μm transparent film consisting of zinc oxide (ZnO) nanoparticles and cellulose nanofibers (CNFs
In a study published in Advanced Materials, researchers Pietro Veglianese, Valeria Veneruso and Emilia Petillo from Istituto di Ricerche Farmacologiche Mario Negri IRCCS in collaboration with Filippo Rossi of the Politecnico di Milano have demonstrated that an innovative nanovector (nanogel), which they developed, is able to deliver anti-inflammatory drugs in a targeted manner into glial cells actively involved in the evolution of spinal cord injury, a condition that leads to paraplegia or quadriplegia
On a cold, sunny day, you’re driving on a rural road, surrounded by snow-covered fields. In an instant, your eyes process the scene, picking out individual objects to focus on — a stop sign, a barn — while the rest of the scene blurs in the periphery. Your brain stores the focused and blurred images as a memory that can be pictured in your mind later, while sitting at your desk
With the current trend of including the evaluation of the risk of brain injuries in vehicle crashes due to rotational kinematics of the head, two injury criteria have been introduced since 2013 – BrIC and DAMAGE. BrIC was developed by NHTSA in 2013 and was suggested for inclusion in the US NCAP for frontal and side crashes. DAMAGE has been developed by UVa under the sponsorship of JAMA and JARI and has been accepted tentatively by the EuroNCAP. Although BrIC in US crash testing is known and reported, DAMAGE in tests of the US fleet is relatively unknown. The current paper will report on DAMAGE in NCAP-like tests and potential future frontal crash tests involving substantial rotation about the three axes of occupant heads. Distribution of DAMAGE of three-point belted occupants without airbags will also be discussed. Prediction of brain injury risks from the tests have been compared to the risks in the real world. Although DAMAGE correlates well with MPS in the human brain model across
Prasad, PriyaBarbat, Saeed D.Kalra, AnilDalmotas, Dainius J.
A neural implant provides information about activity deep inside the brain while sitting on its surface. The implant is made up of a thin, transparent, and flexible polymer strip that is packed with a dense array of graphene electrodes. The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI) that provides high-resolution data about deep neural activity by using recordings from the brain surface
An assistive planar robot includes a cutting-edge closed-loop feedback system to monitor the muscle and brain activity of the user in order to trigger the execution of reach and grab in an adaptive way
Researchers have designed a lightweight helmet with tiny LEGO-size sensors that scan the brain while a person moves. The helmet is the first of its kind to accurately record magnetic fields generated by brain activity while people are in motion. This advance could make it easier to conduct brain scans in young children and individuals with neurological disorders who can’t always remain still in conventional scanners
Researchers have laid the groundwork for a soft robotic tool and control system that could grant surgeons an unprecedented degree of maneuverability within the brain. A recent study demonstrates that the new system is both intuitive and highly accurate. The early results suggest that, with further development, the robot could one day speed up and improve the efficacy of minimally invasive surgeries for life-threatening brain aneurysms and other serious conditions
Imagine grasping a heavy object, like a pipe wrench, with one hand. You would likely grab the wrench using your entire fingers, not just your fingertips. Sensory receptors in your skin, which run along the entire length of each finger, would send information to your brain about the tool you are grasping
Researchers have laid the groundwork for a soft robotic tool and control system that could grant surgeons an unprecedented degree of maneuverability within the brain. A recent study demonstrates that the new system is both intuitive and highly accurate. The early results suggest that, with further development, the robot could one day speed up and improve the efficacy of minimally invasive surgeries for life-threatening brain aneurysms and other serious conditions
Traumatic brain injury is a leading cause of global death and disability. Clinically relevant large animal models are a vital tool for understanding the biomechanics of injury, providing validation data for computation models, and advancing clinical translation of laboratory findings. It is well-established that large angular accelerations of the head can cause TBI, but the effect of head impact on the extent and severity of brain pathology remains unclear. Clinically, most TBIs occur with direct head impact, as opposed to inertial injuries where the head is accelerated without direct impact. There are currently no active large animal models of impact TBI. Sheep may provide a valuable model for studying TBI biomechanics, with relatively large brains that are similar in structure to that of humans. The aim of this project is to develop an ovine model of impact TBI to study the relationships between impact mechanics and brain pathology. An elastic energy impact injury device has been
Magarey, Charlie CQuarrington, Ryan DJones, Claire F
Compressive impacts on the cervical spine can result in bony fractures. Bone fragments displaced into the spinal canal produce spinal canal occlusion, increasing the potential for spinal cord injury (SCI). Human body models (HBMs) provide an opportunity to investigate SCI but currently need to be improved in their ability to model compression fractures and the resulting material flow. Previous work to improve fracture prediction included the development of an anisotropic material model for the bone (hard tissues) of the vertebrae assessed in a functional spinal unit (FSU) model. In the FSU model, bony failure was modeled with strain-based element erosion, with a limitation that material that could occlude the spinal canal during compression was removed when an element was eroded. The objective of this study was to implement a multi-physics modeling approach, using smoothed particle hydrodynamics (SPH) with element erosion, to simulate the movement of fractured material during central
Ngan, S.Rampersadh, C.Carter, J.Cronin, D.S.
Eighteen research posters were prepared and presented by student authors at the 18th Annual Injury Biomechanics Symposium. The posters covered a wide breadth of works-in-progress and recently completed projects. Topics included a variety of body regions and injury scenarios such as: Head: Defining the mass, center of mass, and anatomical coordinate system of the pig head and brain; the influence of friction on oblique helmet testing; validation of an in-ear sensor for measuring head impact exposure in American football Neck and spine: Design of paramedic mannequin neck informed by adult passive neck stiffness and range of motion data; identifying injury from flexion-compression loading of porcine lumbar intervertebral disc Thorax: Tensile material properties of costal cartilage perichondrium; finite element models of both an ovine thorax and adipose tissue for high-rate non-penetrating blunt impact Pelvis: Injurious pelvis deformation in high-speed rear-facing frontal impacts Lower
Mueller, BeckyBautsch, BrianMansfield, Julie
Ultrafine particles, in particular solid sub-100 nm particles pose high risks to human health due to their high lung deposition efficiency, translocation to all organs including the brain and their harmful chemical composition; due to dense traffic, the population in urban environments is exposed to high concentrations of those toxic air contaminants, despite these facts, they are still widely neglected. Therefore, the EU-Commission set up a program for clean and competitive solutions for different problem areas which are regarded to be hotspots of such particles. HORIZON AeroSolfd is an EU project, co-funded by Switzerland that will deliver affordable, adaptable, and sustainable retrofit solutions to reduce exhaust tailpipe emissions from petrol engines, brake emissions and pollution in semi-closed environments. VERT, a Swiss based international industry organization, has a long research history in the field of nanoparticle filtration and it is in charge of reducing tailpipe emissions
Rubino, LaurettaMayer, AndreasCzerwinski, JanLutz, ThomasLarsen, LarsEngelmann, DaniloLehmann, Martin
Stroke survivors who had ceased to benefit from conventional rehabilitation gained clinically significant arm movement and control by using an external robotic device powered by the patients’ own brains
A new project at Aalto University is developing techniques that will enable immobilized patients to control devices using their brain activity. The project builds on the multi-locus transcranial magnetic stimulation (mTMS) technology developed at Aalto, adapting it into a brain–computer interface (BCI) that can help patients with neurological conditions
Scientists have developed electrode arrays that can be funneled through a small hole in the skull and deployed over a relatively large surface over the brain’s cortex. The technology may be particularly useful for providing minimally invasive solutions for epileptic patients
Traumatic brain injury (TBI) is the leading cause of death and long-term disability in road traffic accidents (RTAs). Researchers have examined the effect of vehicle front shape and pedestrian body size on the risk of pedestrian head injury. On the other hand, the relationship between vehicle front shape parameters and pedestrian TBI risks involving a diverse population with varying body sizes has yet to be investigated. Thus, the purpose of this study was to comprehensively study the effect of vehicle front shape parameters and various pedestrian bodies ranging from 95th percentile male (AM95) to 6 years old (YO) child on the dynamic response of the head and the risk of TBIs during primary (vehicle) impact. At three different collision speeds (30, 40, and 50 km/h), a total of 36 car-to-pedestrian collisions (CPCs) were reconstructed using three different vehicle types (Subcompact passenger sedan, mid-sedan, and sports utility vehicle (SUV)) and four distinct THUMS pedestrian finite
Gunasekaran, KalishIslam, Sakib UlMao, Haojie
Sweat contains biomarkers that help doctors make health diagnoses. Wearable sensors can be used to monitor a person’s perspiration rate and provide information about the skin, nervous system activity, and underlying health conditions. But not all sweat is created equal, and some cannot be measured with current sensors. A newly developed superhydrophobic biosensor could be used as a diagnostic tool to detect such types of sweat
The future is expected to bring Advanced Air Mobility (AAM) vehicles, including small unmanned aerial systems (sUAS), urban air mobility (UAM) vehicles and regional air mobility (RAM) vehicles. These manned and unmanned vehicles are propelled by rotors. Rotors tend to generate tonal sound as their blades interact periodically with airflow features. Since people are more sensitive to tonality, including tones, than broad band sound, AAM generated tonality is expected to be an important consideration for design. In this paper several tonality metrics are examined for their ability to explain perceived annoyance of AAM flyover noise as measured by NASA’s Rotorcraft Sound Quality Metric 1 (RoQM-1) test. The various investigated metrics use one-third octave band, narrow band, and autocorrelation analysis. It is observed that tonality influences but does not control perceived flyover noise annoyance due to other sound qualities like roughness, consistent with previous work. The metrics are
Oppenheimer, Charles H.
Some 30,000 people in the United States are affected by amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease, a neurodegenerative condition that damages cells in the brain and spinal cord necessary for movement
A team of Cornell University researchers has laid the foundation for developing a new class of untethered soft robots that can achieve more complex motions with less reliance on explicit computation. By taking advantage of viscosity — the very thing that previously stymied the movement of soft robots — the new approach offloads control of a soft robot’s cognitive capability from the “brain” onto the body using the robot’s mechanical reflexes and ability to leverage its environment
The hippocampus plays a crucial role in brain function and is one of the important areas of concern in closed head injury. Hippocampal injury is related to a variety of factors including the strength of mechanical load, animal age, and helmet material. To investigate the order of these factors on hippocampal injury, a three-factor, three-level experimental protocol was established using the L9(34) orthogonal table. A closed head injury experiment regarding impact strength (0.3MPa, 0.5MPa, 0.7MPa), rat age (eight- week-old, ten-week-old, twelve-week-old), and helmet material (steel, plastic, rubber) were achieved by striking the rat's head with a pneumatic-driven impactor. The number of hippocampal CA3 cells was used as an evaluation indicator. The contribution of factors to the indicators and the confidence level were obtained by analysis of variance. The results showed that impact strength was the main factor affecting hippocampal injury (contribution of 89.2%, confidence level 0.01
Wang, PengSong, XueweiZhu, XiyanQiu, JinlongYang, ShuaijunZhao, Hui
Researchers have combined low power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders
A new string-like implant can monitor fluctuations in brain chemicals, like a fitness tracker for the brain
NASA asks hard questions: What’s it like on the Moon? Has there been life on Mars? How did the first stars form? Finding these big answers often means first solving a series of smaller but equally vexing questions. For example, how does prolonged weightlessness change the way the brain controls muscles? How does the brain control muscles? Before sending humans on the long journey to Mars, NASA wants to better understand the effects the trip will have on astronauts. Now a company that helped the space agency try to solve these questions is helping others find answers as exciting as any NASA discovery
This article proposes a control framework which combines the longitudinal and lateral motion control of the path-following task for Autonomous Ground Vehicles (AGVs). In terms of lateral motion control, a modified kinematics model is introduced to improve the performance of path following, and Brain Emotional Learning–Based Intelligent Controller (BELBIC) is applied to control the heading direction. In terms of longitudinal motion control, a safe speed is derived from the road condition, and a Proportional-Integral (PI) controller is implemented to force the AGV to drive at the desired speed. In addition, for a better performance of path-following and driving stability, Particle Swarm Optimization (PSO) algorithm is used to tune the parameters of BELBIC. In this article, a Carsim and Simulink joint simulation is provided to verify the effectiveness of the modified model and the control framework. The simulation result indicates that, in the scenario of the modified kinematics model
Tao, SiyouJu, ZhiyangZhang, HuiDong, XiaochenChen, Jiancheng
Implantable bioelectronics are now often key in assisting or monitoring the heart, brain, and other vital organs, but they often lack a safe, reliable way of transmitting their data to doctors. Now researchers at Columbia Engineering have invented a way to augment implantable bioelectronics with simple, high-speed, low-power wireless data links using ions, positively or negatively charged atoms that are naturally available in the body
Automated driving is considered a key technology for reducing traffic accidents, improving road utilization, and enhancing transportation economy and thus has received extensive attention from academia and industry in recent years. Although recent improvements in artificial intelligence are beginning to be integrated into vehicles, current AD technology is still far from matching or exceeding the level of human driving ability. The key technologies that need to be developed include achieving a deep understanding and cognition of traffic scenarios and highly intelligent decision-making. Automated Vehicles, the Driving Brain, and Artificial Intelligenceaddresses brain-inspired driving and learning from the human brain's cognitive, thinking, reasoning, and memory abilities. This report presents a few unaddressed issues related to brain-inspired driving, including the cognitive mechanism, architecture implementation, scenario cognition, policy learning, testing, and validation. Click here
Zheng, Ling
Astronauts who spend six months in space are exposed to roughly the same amount of radiation as 1,000 chest X-rays. Having multiple kinds of radiation bombard their bodies puts them at risk for cancer, central nervous system damage, bone loss, and some cardiovascular diseases. NASA funded research into a new method for measuring radiation damage to humans. Now, 19 years later, that fundamental science supports a diagnostic test to improve cancer treatment on Earth, called the OncoMate MSI Dx Analysis System
Researchers at the University of Texas at Austin have developed an electroencefalography (EEG) electrode that patients wear on their head to monitor brain activity. The EEG electrodes system could act as a brain-computer interface (BCI), which can be controlled by brain signals to help repair damage to the brain caused by strokes and other disorders
Engineering researchers have invented an advanced brain-computer interface with a flexible and moldable backing and penetrating microneedles. Adding a flexible backing to this kind of brain-computer interface allows the device to more evenly conform to the brain’s complex curved surface and to more uniformly distribute the microneedles that pierce the cortex. The microneedles, which are 10 times thinner than the human hair, protrude from the flexible backing, penetrate the surface of the brain tissue without piercing surface venules, and record signals from nearby nerve cells evenly across a wide area of the cortex
MIT engineers have developed a telerobotic system to help surgeons quickly and remotely treat patients experiencing a stroke or aneurysm. With a modified joystick, surgeons in one hospital may control a robotic arm at another location to safely operate on a patient during a critical window of time that could save the patient’s life and preserve their brain function
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