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https://www.readbyqxmd.com/read/28087767/trial-by-trial-motor-cortical-correlates-of-a-rapidly-adapting-visuomotor-internal-model
#1
Sergey D Stavisky, Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
: Accurate motor control is mediated by internal models of how neural activity generates movement. We examined neural correlates of an adapting internal model of visuomotor gain in motor cortex while two macaques performed a reaching task in which the gain scaling between the hand and a presented cursor was varied. Previous studies of cortical changes during visuomotor adaptation focused on preparatory and peri-movement epochs and analyzed trial-averaged neural data. Here, we recorded simultaneous neural population activity using multielectrode arrays and focused our analysis on neural differences in the period before the target appeared...
January 13, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28086889/hybrid-brain-computer-interface-for-biomedical-cyber-physical-system-application-using-wireless-embedded-eeg-systems
#2
Rifai Chai, Ganesh R Naik, Sai Ho Ling, Hung T Nguyen
BACKGROUND: One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by using brain electrical signals. METHODS: This paper presents a unique prototype of a hybrid brain computer interface (BCI) which senses a combination classification of mental task, steady state visual evoked potential (SSVEP) and eyes closed detection using only two EEG channels...
January 7, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28071661/neuronal-sflt1-and-vegfaa-determine-venous-sprouting-and-spinal-cord-vascularization
#3
Raphael Wild, Alina Klems, Masanari Takamiya, Yuya Hayashi, Uwe Strähle, Koji Ando, Naoki Mochizuki, Andreas van Impel, Stefan Schulte-Merker, Janna Krueger, Laetitia Preau, Ferdinand le Noble
Formation of organ-specific vasculatures requires cross-talk between developing tissue and specialized endothelial cells. Here we show how developing zebrafish spinal cord neurons coordinate vessel growth through balancing of neuron-derived Vegfaa, with neuronal sFlt1 restricting Vegfaa-Kdrl mediated angiogenesis at the neurovascular interface. Neuron-specific loss of flt1 or increased neuronal vegfaa expression promotes angiogenesis and peri-neural tube vascular network formation. Combining loss of neuronal flt1 with gain of vegfaa promotes sprout invasion into the neural tube...
January 10, 2017: Nature Communications
https://www.readbyqxmd.com/read/28069445/person-perception-involves-functional-integration-between-the-extrastriate-body-area-and-temporal-pole
#4
Inez M Greven, Richard Ramsey
The majority of human neuroscience research has focussed on understanding functional organisation within segregated patches of cortex. The ventral visual stream has been associated with the detection of physical features such as faces and body parts, whereas the theory-of-mind network has been associated with making inferences about mental states and underlying character, such as whether someone is friendly, selfish, or generous. To date, however, it is largely unknown how such distinct processing components integrate neural signals...
January 6, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28065938/efficient-implementation-of-a-real-time-estimation-system-for-thalamocortical-hidden-parkinsonian-properties
#5
Shuangming Yang, Bin Deng, Jiang Wang, Huiyan Li, Chen Liu, Chris Fietkiewicz, Kenneth A Loparo
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical properties of ion channels is extremely challenging experimentally and even impossible in clinical applications. This paper presents and evaluates a real-time estimation system for thalamocortical hidden properties. For the sake of efficiency, we use a field programmable gate array for strictly hardware-based computation and algorithm optimization...
January 9, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28065740/bacterial-signaling-to-the-nervous-system-via-toxins-and-metabolites
#6
REVIEW
Nicole J Yang, Isaac M Chiu
Mammalian hosts interface intimately with commensal and pathogenic bacteria. It is increasingly clear that molecular interactions between the nervous system and microbes contribute to health and disease. Both commensal and pathogenic bacteria are capable of producing molecules that act on neurons and affect essential aspects of host physiology. Here we highlight several classes of physiologically important molecular interactions that occur between bacteria and the nervous system. First, clostridial neurotoxins block neurotransmission to or from neurons by targeting the SNARE complex, causing the characteristic paralyses of botulism and tetanus during bacterial infection...
January 5, 2017: Journal of Molecular Biology
https://www.readbyqxmd.com/read/28044343/computer-aided-detection-of-retained-surgical-needles-from-postoperative-radiographs
#7
Aunnasha Sengupta, Lubomir Hadjiiski, Heang-Ping Chan, Kenny Cha, Nikolaos Chronis, Theodore C Marentis
PURPOSE: Foreign objects, such as surgical sponges, needles, sutures, and other surgical instruments, retained in the patient's body can have dire consequences in terms of patient mortality as well as legal and financial penalties. We propose computer-aided detection (CAD) on postoperative radiographs as a potential solution to reduce the chance of retained foreign objects (RFOs) after surgery, thus alleviating one of the major concerns for patient safety in the operation room. A CAD system can function as a second pair of eyes or a prescreener for the surgeon and radiologist, depending on the CAD system design and the workflow...
November 21, 2016: Medical Physics
https://www.readbyqxmd.com/read/28029630/design-of-a-closed-loop-bidirectional-brain-machine-interface-system-with-energy-efficient-neural-feature-extraction-and-pid-control
#8
Xilin Liu, Milin Zhang, Andrew G Richardson, Timothy H Lucas, Jan Van der Spiegel
This paper presents a bidirectional brain machine interface (BMI) microsystem designed for closed-loop neuroscience research, especially experiments in freely behaving animals. The system-on-chip (SoC) consists of 16-channel neural recording front-ends, neural feature extraction units, 16-channel programmable neural stimulator back-ends, in-channel programmable closed-loop controllers, global analog-digital converters (ADC), and peripheral circuits. The proposed neural feature extraction units includes 1) an ultra low-power neural energy extraction unit enabling a 64-step natural logarithmic domain frequency tuning, and 2) a current-mode action potential (AP) detection unit with time-amplitude window discriminator...
December 16, 2016: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28027435/planar-diamond-based-multiarrays-to-monitor-neurotransmitter-release-and-action-potential-firing-new-perspectives-in-cellular-neuroscience
#9
Valentina Carabelli, Andrea Marcantoni, Federico Picollo, Alfio Battiato, Ettore Bernardi, Alberto Pasquarelli, Paolo Olivero, Emilio Carbone
High biocompatibility, outstanding electrochemical responsiveness, inertness and transparency make diamond-based multiarrays (DBMs) first-rate biosensors for in vitro detection of electrochemical and electrical signals from excitable cells together, with potential for in vivo applications as neural interfaces and prostheses. Here, we will review the electrochemical and physical properties of various DBMs and how these devices have been employed for recording released neurotransmitter molecules and all-or-none action potentials from living cells...
December 27, 2016: ACS Chemical Neuroscience
https://www.readbyqxmd.com/read/28018162/a-bidirectional-brain-machine-interface-featuring-a-neuromorphic-hardware-decoder
#10
Fabio Boi, Timoleon Moraitis, Vito De Feo, Francesco Diotalevi, Chiara Bartolozzi, Giacomo Indiveri, Alessandro Vato
Bidirectional brain-machine interfaces (BMIs) establish a two-way direct communication link between the brain and the external world. A decoder translates recorded neural activity into motor commands and an encoder delivers sensory information collected from the environment directly to the brain creating a closed-loop system. These two modules are typically integrated in bulky external devices. However, the clinical support of patients with severe motor and sensory deficits requires compact, low-power, and fully implantable systems that can decode neural signals to control external devices...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28008303/regenerated-sciatic-nerve-axons-stimulated-through-a-chronically-implanted-macro-sieve-electrode
#11
Matthew R MacEwan, Erik R Zellmer, Jesse J Wheeler, Harold Burton, Daniel W Moran
Sieve electrodes provide a chronic interface for stimulating peripheral nerve axons. Yet, successful utilization requires robust axonal regeneration through the implanted electrode. The present study determined the effect of large transit zones in enhancing axonal regeneration and revealed an intimate neural interface with an implanted sieve electrode. Fabrication of the polyimide sieve electrodes employed sacrificial photolithography. The manufactured macro-sieve electrode (MSE) contained nine large transit zones with areas of ~0...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28006854/quantification-of-human-upper-extremity-nerves-and-fascicular-anatomy
#12
Natalie A Brill, Dustin J Tyler
INTRODUCTION: This paper provides detailed quantification of upper extremity nerve and fascicular anatomy. The purpose is to provide values and trends in neural features useful for clinical applications and neural interface device design. METHODS: Nerve cross sections were taken from 4 ulnar, 4 median, and 3 radial nerves from 5 arms of 3 human cadavers. Quantified nerve features included cross sectional area, minor diameter, and major diameter. Fascicular features analyzed included count, perimeter, area, and position...
December 22, 2016: Muscle & Nerve
https://www.readbyqxmd.com/read/28003656/closed-loop-brain-training-the-science-of-neurofeedback
#13
Ranganatha Sitaram, Tomas Ros, Luke Stoeckel, Sven Haller, Frank Scharnowski, Jarrod Lewis-Peacock, Nikolaus Weiskopf, Maria Laura Blefari, Mohit Rana, Ethan Oblak, Niels Birbaumer, James Sulzer
Neurofeedback is a psychophysiological procedure in which online feedback of neural activation is provided to the participant for the purpose of self-regulation. Learning control over specific neural substrates has been shown to change specific behaviours. As a progenitor of brain-machine interfaces, neurofeedback has provided a novel way to investigate brain function and neuroplasticity. In this Review, we examine the mechanisms underlying neurofeedback, which have started to be uncovered. We also discuss how neurofeedback is being used in novel experimental and clinical paradigms from a multidisciplinary perspective, encompassing neuroscientific, neuroengineering and learning-science viewpoints...
December 22, 2016: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/28003406/interfacing-to-the-brain-s-motor-decisions
#14
Giovanni Mirabella, Mikhail A Lebedev
It has been long known that neural activity, recorded with electrophysiological methods, contains rich information about a subject's motor intentions, sensory experiences, allocation of attention, action planning, and even abstract thoughts. All these functions have been the subject of neurophysiological investigations, with the goal of understanding how neuronal activity represents behavioral parameters, sensory inputs, and cognitive functions. The field of brain-machine interfaces (BMIs) strives for a somewhat different goal: it endeavors to extract information from neural modulations to create a communication link between the brain and external devices...
December 21, 2016: Journal of Neurophysiology
https://www.readbyqxmd.com/read/27992344/brain-machine-interface-control-algorithms
#15
Maryam M Shanechi
Motor brain-machine interfaces (BMI) allow subjects to control external devices by modulating their neural activity. BMIs record the neural activity, use a mathematical algorithm to estimate the subject's intended movement, actuate an external device, and provide visual feedback of the generated movement to the subject. A critical component of a BMI system is the control algorithm, termed decoder. Significant progress has been made in the design of BMI decoders in recent years resulting in proficient control in non-human primates and humans...
December 14, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27990233/laser-induced-carbon-pyrolysis-of-electrodes-for-neural-interface-systems
#16
Ana Oliveira, Juan S Ordonez, Danesh Ashouri Vajari, Max Eickenscheidt, Thomas Stieglitz
The objective of this work is to produce a laser- fabricated polymer-metal-polymer electrode with the merit of a carbon-based coating as the active site. A 10 µm-thick layer of parylene-C is used serving as the insulation layer in which the active site is locally laser-pyrolyzed. Our preliminary results show that the proposed method is promising in terms of fabrication feasibility and desired electrochemical capabilities.
June 13, 2016: European Journal of Translational Myology
https://www.readbyqxmd.com/read/27990231/fast-simulation-and-optimization-tool-to-explore-selective-neural-stimulation
#17
Mélissa Dali, Olivier Rossel, David Guiraud
In functional electrical stimulation, selective stimulation of axons is desirable to activate a specific target, in particular muscular function. This implies to simulate a fascicule without activating neighboring ones i.e. to be spatially selective. Spatial selectivity is achieved by the use of multicontact cuff electrodes over which the stimulation current is distributed. Because of the large number of parameters involved, numerical simulations provide a way to find and optimize electrode configuration. The present work offers a computation effective scheme and associated tool chain capable of simulating electrode-nerve interface and find the best spread of current to achieve spatial selectivity...
June 13, 2016: European Journal of Translational Myology
https://www.readbyqxmd.com/read/27979665/neonatal-cranial-ultrasound-are-current-safety-guidelines-appropriate
#18
REVIEW
Assema Lalzad, Flora Wong, Michal Schneider
Ultrasound can lead to thermal and mechanical effects in interrogated tissues. We reviewed the literature to explore the evidence on ultrasound heating on fetal and neonatal neural tissue. The results of animal studies have suggested that ultrasound exposure of the fetal or neonatal brain may lead to a significant temperature elevation at the bone-brain interface above current recommended safety thresholds. Temperature increases between 4.3 and 5.6°C have been recorded. Such temperature elevations can potentially affect neuronal structure and function and may also affect behavioral and cognitive function, such as memory and learning...
December 12, 2016: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/27958268/making-brain-machine-interfaces-robust-to-future-neural-variability
#19
David Sussillo, Sergey D Stavisky, Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change. We tested whether a decoder could be made more robust to future neural variability by training it to handle a variety of recording conditions sampled from months of previously collected data as well as synthetic training data perturbations. We developed a new multiplicative recurrent neural network BMI decoder that successfully learned a large variety of neural-to-kinematic mappings and became more robust with larger training data sets...
December 13, 2016: Nature Communications
https://www.readbyqxmd.com/read/27957537/implantable-microcoils-for-intracortical-magnetic-stimulation
#20
Seung Woo Lee, Florian Fallegger, Bernard D F Casse, Shelley I Fried
Neural prostheses that stimulate the neocortex have the potential to treat a wide range of neurological disorders. However, the efficacy of electrode-based implants remains limited, with persistent challenges that include an inability to create precise patterns of neural activity as well as difficulties in maintaining response consistency over time. These problems arise from fundamental limitations of electrodes as well as their susceptibility to implantation and have proven difficult to overcome. Magnetic stimulation can address many of these limitations, but coils small enough to be implanted into the cortex were not thought strong enough to activate neurons...
December 2016: Science Advances
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