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Neural prosthetics

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https://www.readbyqxmd.com/read/29780963/the-cochlear-implant-and-possibilities-for-narrowing-the-remaining-gaps-between-prosthetic-and-normal-hearing
#1
Blake S Wilson
Background: The cochlear implant has become the standard of care for severe or worse losses in hearing and indeed has produced the first substantial restoration of a lost or absent human sense using a medical intervention. However, the devices are not perfect and many efforts to narrow the remaining gaps between prosthetic and normal hearing are underway. Objective: To assess the present status of cochlear implants and to describe possibilities for improving them...
December 2017: World journal of otorhinolaryngology—head and neck surgery
https://www.readbyqxmd.com/read/29678760/sub-millimeter-ecog-pitch-in-human-enables-higher-fidelity-cognitive-neural-state-estimation
#2
John Hermiz, Nicholas Rogers, Erik Kaestner, Mehran Ganji, Daniel R Cleary, Bob Carter, David Barba, Shadi Dayeh, Eric Halgren, Vikash Gilja
Electrocorticography (ECoG), electrophysiological recording from the pial surface of the brain, is a critical measurement technique for clinical neurophysiology, basic neurophysiology studies, and demonstrates great promise for the development of neural prosthetic devices for assistive applications and the treatment of neurological disorders. Recent advances in device engineering are poised to enable orders of magnitude increase in the resolution of ECoG without comprised measurement quality. This enhancement in cortical sensing enables the observation of neural dynamics from the cortical surface at the micrometer scale...
April 17, 2018: NeuroImage
https://www.readbyqxmd.com/read/29670188/assessing-the-quality-of-supplementary-sensory-feedback-using-the-crossmodal-congruency-task
#3
Daniel Blustein, Adam Wilson, Jon Sensinger
Advanced neural interfaces show promise in making prosthetic limbs more biomimetic and ultimately more intuitive and useful for patients. However, approaches to assess these emerging technologies are limited in scope and the insight they provide. When outfitting a prosthesis with a feedback system, such as a peripheral nerve interface, it would be helpful to quantify its physiological correspondence, i.e. how well the prosthesis feedback mimics the perceived feedback in an intact limb. Here we present an approach to quantify this aspect of feedback quality using the crossmodal congruency effect (CCE) task...
April 18, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29666566/-enheduanna-a-manifesto-of-falling-live-brain-computer-cinema-performance-performer-and-audience-participation-cognition-and-emotional-engagement-using-multi-brain-bci-interaction
#4
Polina Zioga, Frank Pollick, Minhua Ma, Paul Chapman, Kristian Stefanov
The fields of neural prosthetic technologies and Brain-Computer Interfaces (BCIs) have witnessed in the past 15 years an unprecedented development, bringing together theories and methods from different scientific fields, digital media, and the arts. More in particular, artists have been amongst the pioneers of the design of relevant applications since their emergence in the 1960s, pushing the boundaries of applications in real-life contexts. With the new research, advancements, and since 2007, the new low-cost commercial-grade wireless devices, there is a new increasing number of computer games, interactive installations, and performances that involve the use of these interfaces, combining scientific, and creative methodologies...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29657092/the-critical-chemical-and-mechanical-regulation-of-folic-acid-on-neural-engineering
#5
Gloria B Kim, Yongjie Chen, Weibo Kang, Jinshan Guo, Russell Payne, Hui Li, Qiong Wei, Julianne Baker, Cheng Dong, Sulin Zhang, Pak Kin Wong, Elias B Rizk, Jiazhi Yan, Jian Yang
The mandate of folic acid supplementation in grained products has reduced the occurrence of neural tube defects by one third in the U.S since its introduction by the Food and Drug Administration in 1998. However, the advantages and possible mechanisms of action of using folic acid for peripheral nerve engineering and neurological diseases still remain largely elusive. Herein, folic acid is described as an inexpensive and multifunctional niche component that modulates behaviors in different cells in the nervous system...
April 3, 2018: Biomaterials
https://www.readbyqxmd.com/read/29600349/delivery-of-brain-derived-neurotrophic-factor-by-3d-biocompatible-polymeric-scaffolds-for-neural-tissue-engineering-and-neuronal-regeneration
#6
T Limongi, A Rocchi, F Cesca, H Tan, E Miele, A Giugni, M Orlando, M Perrone Donnorso, G Perozziello, Fabio Benfenati, Enzo Di Fabrizio
Biopolymers are increasingly employed for neuroscience applications as scaffolds to drive and promote neural regrowth, thanks to their ability to mediate the upload and subsequent release of active molecules and drugs. Synthetic degradable polymers are characterized by different responses ranging from tunable distension or shrinkage to total dissolution, depending on the function they are designed for. In this paper we present a biocompatible microfabricated poly-ε-caprolactone (PCL) scaffold for primary neuron growth and maturation that has been optimized for the in vitro controlled release of brain-derived neurotrophic factor (BDNF)...
March 29, 2018: Molecular Neurobiology
https://www.readbyqxmd.com/read/29598890/closed-loop-intracranial-stimulation-alters-movement-timing-in-humans
#7
Bartlett D Moore, Adam R Aron, Nitin Tandon
BACKGROUND: A prime objective driving the recent development of human neural prosthetics is to stimulate neural circuits in a manner time-locked to ongoing brain activity. The human supplementary motor area (SMA) is a particularly useful target for this objective because it displays characteristic neural activity just prior to voluntary movement. OBJECTIVE: Here, we tested a method that detected activity in the human SMA related to impending movement and then delivered cortical stimulation with intracranial electrodes to influence the timing of movement...
March 8, 2018: Brain Stimulation
https://www.readbyqxmd.com/read/29589592/developing-a-hippocampal-neural-prosthetic-to-facilitate-human-memory-encoding-and-recall
#8
Robert E Hampson, Dong Song, Brian S Robinson, Dustin Fetterhoff, Alexander S Dakos, Brent M Roeder, Xiwei She, Robert T Wicks, Mark R Witcher, Daniel E Couture, Adrian W Laxton, Heidi Munger-Clary, Gautam Popli, Myriam J Sollman, Christopher T Whitlow, Vasilis Z Marmarelis, Theodore W Berger, Sam A Deadwyler
OBJECTIVE: We demonstrate here the first successful implementation in humans of a proof-of-concept system for restoring and improving memory function via facilitation of memory encoding using the patient's own hippocampal spatiotemporal neural codes for memory. Memory in humans is subject to disruption by drugs, disease and brain injury, yet previous attempts to restore or rescue memory function in humans typically involved only nonspecific, modulation of brain areas and neural systems related to memory retrieval...
March 28, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29570059/an-extreme-learning-machine-based-neuromorphic-tactile-sensing-system-for-texture-recognition
#9
Mahdi Rasouli, Yi Chen, Arindam Basu, Sunil L Kukreja, Nitish V Thakor
Despite significant advances in computational algorithms and development of tactile sensors, artificial tactile sensing is strikingly less efficient and capable than the human tactile perception. Inspired by efficiency of biological systems, we aim to develop a neuromorphic system for tactile pattern recognition. We particularly target texture recognition as it is one of the most necessary and challenging tasks for artificial sensory systems. Our system consists of a piezoresistive fabric material as the sensor to emulate skin, an interface that produces spike patterns to mimic neural signals from mechanoreceptors, and an extreme learning machine (ELM) chip to analyze spiking activity...
April 2018: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/29547133/a-model-of-electrical-impedance-tomography-implemented-in-nerve-cuff-for-neural-prosthetics-control
#10
J Hope, F Vanholsbeeck, A McDaid
OBJECTIVE: In neural interfaces for peripheral nerve a trade-off exists between the level of invasiveness and the selectivity of neural recordings. In this study, we implement electrical impedance tomography (EIT) in a nerve cuff with the aim to investigate the achievable level of selectivity. APPROACH: Established modelling approaches in neural-EIT are expanded on to be used, for the first time, on myelinated fibres which are abundant in mammalian peripheral nerves and transmit motor commands...
April 26, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29540617/illusory-movement-perception-improves-motor-control-for-prosthetic-hands
#11
Paul D Marasco, Jacqueline S Hebert, Jon W Sensinger, Courtney E Shell, Jonathon S Schofield, Zachary C Thumser, Raviraj Nataraj, Dylan T Beckler, Michael R Dawson, Dan H Blustein, Satinder Gill, Brett D Mensh, Rafael Granja-Vazquez, Madeline D Newcomb, Jason P Carey, Beth M Orzell
To effortlessly complete an intentional movement, the brain needs feedback from the body regarding the movement's progress. This largely nonconscious kinesthetic sense helps the brain to learn relationships between motor commands and outcomes to correct movement errors. Prosthetic systems for restoring function have predominantly focused on controlling motorized joint movement. Without the kinesthetic sense, however, these devices do not become intuitively controllable. We report a method for endowing human amputees with a kinesthetic perception of dexterous robotic hands...
March 14, 2018: Science Translational Medicine
https://www.readbyqxmd.com/read/29515355/freedom-of-thought-and-mental-integrity-the-moral-requirements-for-any-neural-prosthesis
#12
Andrea Lavazza
There are many kinds of neural prostheses available or being researched today. In most cases they are intended to cure or improve the condition of patients affected by some cerebral deficiency. In other cases, their goal is to provide new means to maintain or improve an individual's normal performance. In all these circumstances, one of the possible risks is that of violating the privacy of brain contents (which partly coincide with mental contents) or of depriving individuals of full control over their thoughts (mental states), as the latter are at least partly detectable by new prosthetic technologies...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29498358/motor-commands-decoding-using-peripheral-nerve-signals-a-review
#13
Keum-Shik Hong, Nida Aziz, Usman Ghafoor
During the last few decades, substantial scientific and technological efforts have been focused on the development of neuroprostheses. The major emphasis has been on techniques for connecting the human nervous system with a robotic prosthesis via natural-feeling interfaces. The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles. If these signals could be used, they might allow near-natural and intuitive control of prosthetic limbs with multiple degrees of freedom...
June 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29432117/closed-loop-continuous-hand-control-via-chronic-recording-of-regenerative-peripheral-nerve-interfaces
#14
Philip P Vu, Zachary T Irwin, Autumn J Bullard, Shoshana W Ambani, Ian C Sando, Melanie G Urbanchek, Paul S Cederna, Cynthia A Chestek
Loss of the upper limb imposes a devastating interruption to everyday life. Full restoration of natural arm control requires the ability to simultaneously control multiple degrees of freedom of the prosthetic arm and maintain that control over an extended period of time. Current clinically available myoelectric prostheses do not provide simultaneous control or consistency for transradial amputees. To address this issue, we have implemented a standard Kalman filter for continuous hand control using intramuscular electromyography (EMG) from both regenerative peripheral nerve interfaces (RPNI) and an intact muscle within non-human primates...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/29339793/skin-inspired-highly-stretchable-and-conformable-matrix-networks-for-multifunctional-sensing
#15
Qilin Hua, Junlu Sun, Haitao Liu, Rongrong Bao, Ruomeng Yu, Junyi Zhai, Caofeng Pan, Zhong Lin Wang
Mechanosensation electronics (or Electronic skin, e-skin) consists of mechanically flexible and stretchable sensor networks that can detect and quantify various stimuli to mimic the human somatosensory system, with the sensations of touch, heat/cold, and pain in skin through various sensory receptors and neural pathways. Here we present a skin-inspired highly stretchable and conformable matrix network (SCMN) that successfully expands the e-skin sensing functionality including but not limited to temperature, in-plane strain, humidity, light, magnetic field, pressure, and proximity...
January 16, 2018: Nature Communications
https://www.readbyqxmd.com/read/29249656/brain-computer-interface-with-inhibitory-neurons-reveals-subtype-specific-strategies
#16
Akinori Mitani, Mingyuan Dong, Takaki Komiyama
Brain-computer interfaces have seen an increase in popularity due to their potential for direct neuroprosthetic applications for amputees and disabled individuals. Supporting this promise, animals-including humans-can learn even arbitrary mapping between the activity of cortical neurons and movement of prosthetic devices [1-4]. However, the performance of neuroprosthetic device control has been nowhere near that of limb control in healthy individuals, presenting a dire need to improve the performance. One potential limitation is the fact that previous work has not distinguished diverse cell types in the neocortex, even though different cell types possess distinct functions in cortical computations [5-7] and likely distinct capacities to control brain-computer interfaces...
January 8, 2018: Current Biology: CB
https://www.readbyqxmd.com/read/29209023/motor-cortical-activity-changes-during-neuroprosthetic-controlled-object-interaction
#17
John E Downey, Lucas Brane, Robert A Gaunt, Elizabeth C Tyler-Kabara, Michael L Boninger, Jennifer L Collinger
Brain-computer interface (BCI) controlled prosthetic arms are being developed to restore function to people with upper-limb paralysis. This work provides an opportunity to analyze human cortical activity during complex tasks. Previously we observed that BCI control became more difficult during interactions with objects, although we did not quantify the neural origins of this phenomena. Here, we investigated how motor cortical activity changed in the presence of an object independently of the kinematics that were being generated using intracortical recordings from two people with tetraplegia...
December 5, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29201041/decoding-of-human-movements-based-on-deep-brain-local-field-potentials-using-ensemble-neural-networks
#18
Mohammad S Islam, Khondaker A Mamun, Hai Deng
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. This study explores using recorded deep brain local field potentials (LFPs) for robust movement decoding of Parkinson's disease (PD) and Dystonia patients. The LFP data from voluntary movement activities such as left and right hand index finger clicking were recorded from patients who underwent surgeries for implantation of deep brain stimulation electrodes...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29198041/ethical-considerations-on-novel-neuronal-interfaces
#19
Kadircan H Keskinbora, Kader Keskinbora
Wireless powered implants, each smaller than a grain of rice, have the potential to scan and stimulate brain cells. Further research may lead to next-generation brain-machine interfaces for controlling prosthetics, exoskeletons, and robots, as well as "electroceuticals" to treat disorders of the brain and body. In conditions that can be particularly alleviated with brain stimulation, the use of such mini devices may pose certain challenges. Health professionals are becoming increasingly more accountable in decision-making processes that have impacts on the life quality of individuals...
December 2, 2017: Neurological Sciences
https://www.readbyqxmd.com/read/29187808/toward-a-cognitive-neural-prosthesis-using-focused-ultrasound
#20
Matthew E Downs, Tobias Teichert, Amanda Buch, Maria E Karakatsani, Carlos Sierra, Shangshang Chen, Elisa E Konofagou, Vincent P Ferrera
Non-invasive brain stimulation using focused ultrasound has many potential applications as a research and clinical tool, including its incorporation as either an extracorporeal or implantable neural prosthetic. To this end, we investigated the effect of focused ultrasound (FUS) combined with systemically administered microbubbles on visual-motor decision-making behavior in monkeys. We applied FUS to the putamen in one hemisphere to open the blood-brain barrier (BBB), and then tested behavioral performance 3-4 h later...
2017: Frontiers in Neuroscience
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