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Vassilios N Christopoulos, Kristen N Andersen, Richard A Andersen
Extinction is a common neurologic deficit that often occurs as one of a constellation of symptoms seen with lesions of the posterior parietal cortex (PPC). Although extinction has typically been considered a deficit in the allocation of attention, new findings, particularly from nonhuman primate studies, point to one potential and important source of extinction as damage to decision-making circuits for actions within the PPC. This new understanding provides clues to potential therapies for extinction. Also the finding that the PPC is important for action decisions and action planning has led to new neuroprosthetic applications using PPC recordings as control signals to assist paralyzed patients...
2018: Handbook of Clinical Neurology
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...
March 2, 2018: Journal of Neural Engineering
Shashank Ghai, Ishan Ghai, Alfred O Effenberg
Fear can propagate parallelly through both cortical and subcortical pathways. It can instigate memory consolidation habitually and might allow internal simulation of movements independent of the cortical structures. This perspective suggests delivery of subliminal, aversive and kinematic audiovisual stimuli via neuroprosthetics in patients with neocortical dysfunctions. We suggest possible scenarios by which these stimuli might bypass damaged neocortical structures and possibly assisting in motor relearning...
2018: Neuropsychiatric Disease and Treatment
Xiaochuan Dai, Guosong Hong, Teng Gao, Charles M Lieber
Nanobioelectronics represents a rapidly developing field with broad-ranging opportunities in fundamental biological sciences, biotechnology, and medicine. Despite this potential, seamless integration of electronics has been difficult due to fundamental mismatches, including size and mechanical properties, between the elements of the electronic and living biological systems. In this Account, we discuss the concept, development, key demonstrations, and future opportunities of mesh nanoelectronics as a general paradigm for seamless integration of electronics within synthetic tissues and live animals...
January 30, 2018: Accounts of Chemical Research
David Aaron Moses, Matthew Leonard, Edward F Chang
OBJECTIVE: Recent research has characterized the anatomical and functional basis of speech perception in the human auditory cortex. These advances have made it possible to decode speech information from activity in brain regions like the superior temporal gyrus, but no published work has demonstrated this ability in real-time, which is necessary for neuroprosthetic brain-computer interfaces. APPROACH: Here, we introduce a real-time Neural Speech Recognition (rtNSR) software package, which was used to classify spoken input from high-resolution electrocorticography signals in real-time...
January 30, 2018: Journal of Neural Engineering
Zhan Li, David Guiraud, David Andreu, Anthony Gelis, Charles Fattal, Mitsuhiro Hayashibe
Functional electrical stimulation (FES) is a neuroprosthetic technique to help restore motor function of spinal cord-injured (SCI) patients. Through delivery of electrical pulses to muscles of motor-impaired subjects, FES is able to artificially induce their muscle contractions. Evoked electromyography (eEMG) is used to record such FES-induced electrical muscle activity and presents a form of [Formula: see text]-wave. In order to monitor electrical muscle activity under stimulation and ensure safe stimulation configurations, closed-loop FES control with eEMG feedback is needed to be developed for SCI patients who lose their voluntary muscle contraction ability...
December 25, 2017: International Journal of Neural Systems
Jordan Prox, Tory Smith, Chad Holl, Nick Chehade, Liang Guo
Novel in vitro platforms are currently revolutionizing the study and reconstruction of cellular circuitry to bypass the pertaining obstacles of data retrieval in vivo. While earlier approaches have provided great insights into culturing circuits in planar dissociated cell culture systems, the lack of full control over network activity and formation limits our understanding of their functionality. Thus, integrating various controllable parameters are required in creating a suitable microenvironment including cell patterning, highly-specified electrical and chemical stimuli, and rational circuit formation via logic functions...
January 19, 2018: Journal of Neural Engineering
Martina Righi, Gian Luigi Puleo, Ilaria Tonazzini, Guido Giudetti, Marco Cecchini, Silvestro Micera
In the last decade, the use of flexible biosensors for neuroprosthetic and translational applications has widely increased. Among them, the polyimide (PI)-based thin-film electrodes got a large popularity. However, the usability of these devices is still hampered by a non-optimal tissue-device interface that usually compromises the long-term quality of neural signals. Advanced strategies able to improve the surface properties of these devices have been developed in the recent past. Unfortunately, most of them are not easy to be developed and combined with micro-fabrication processes, and require long-term efforts to be testable with human subjects...
January 11, 2018: Scientific Reports
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...
December 5, 2017: Current Biology: CB
Mikhail A Lebedev
No abstract text is available yet for this article.
2017: Frontiers in Neuroscience
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
S Dura-Bernal, S A Neymotin, C C Kerr, S Sivagnanam, A Majumdar, J T Francis, W W Lytton
Biomimetic simulation permits neuroscientists to better understand the complex neuronal dynamics of the brain. Embedding a biomimetic simulation in a closed-loop neuroprosthesis, which can read and write signals from the brain, will permit applications for amelioration of motor, psychiatric, and memory-related brain disorders. Biomimetic neuroprostheses require real-time adaptation to changes in the external environment, thus constituting an example of a dynamic data-driven application system. As model fidelity increases, so does the number of parameters and the complexity of finding appropriate parameter configurations...
March 2017: IBM Journal of Research and Development
Srijata Chakravorti, Brian J Bussey, Yiyuan Zhao, Benoit M Dawant, Robert F Labadie, Jack H Noble
Cochlear implants (CIs) are surgically implantable neuroprosthetic devices used to treat profound hearing loss. Recent literature indicates that there is a correlation between the final intracochlear positioning of the CI electrode arrays and the ultimate hearing outcome of the patient, indicating that further studies to better understand the relationship between electrode position and outcomes could have significant implications for future surgical techniques, array design, and processor programming methods...
October 2017: Journal of Medical Imaging
Usman Ghafoor, Sohee Kim, Keum-Shik Hong
For those individuals with upper-extremity amputation, a daily normal living activity is no longer possible or it requires additional effort and time. With the aim of restoring their sensory and motor functions, theoretical and technological investigations have been carried out in the field of neuroprosthetic systems. For transmission of sensory feedback, several interfacing modalities including indirect (non-invasive), direct-to-peripheral-nerve (invasive), and cortical stimulation have been applied. Peripheral nerve interfaces demonstrate an edge over the cortical interfaces due to the sensitivity in attaining cortical brain signals...
2017: Frontiers in Neurorobotics
Matthew E Gladden
Previous works exploring the challenges of ensuring information security for neuroprosthetic devices and their users have typically built on the traditional InfoSec concept of the "CIA Triad" of confidentiality, integrity, and availability. However, we argue that the CIA Triad provides an increasingly inadequate foundation for envisioning information security for neuroprostheses, insofar as it presumes that (1) any computational systems to be secured are merely instruments for expressing their human users' agency, and (2) computing devices are conceptually and practically separable from their users...
2017: Frontiers in Neuroscience
Jessica Rose, Katelyn Cahill-Rowley, Erin E Butler
Cerebral palsy (CP) is the most common childhood motor disability and often results in debilitating walking abnormalities, such as flexed-knee and stiff-knee gait. Current medical and surgical treatments are only partially effective in improving gait abnormalities and may cause significant muscle weakness. However, emerging artificial walking technologies, such as step-initiated, multichannel neuromuscular electrical stimulation (NMES), can substantially improve gait patterns and promote muscle strength in children with spastic CP...
November 2017: Artificial Organs
Han-Jun Kim, Dong Nyoung Heo, Yi Jae Lee, Sang Jin Lee, Ji Yoon Kang, Soo Hyun Lee, I I Keun Kwon, Sun Hee Do
The implantable cuff electrode is an effective neuroprosthetic device in current nerve tissue engineering. However, biocompatibility and stability are still a serious dispute in terms of in vivo function and continuous monitoring. In this regard, assessing the host's biological response to biomaterials is one of the key factors of chronic implantation. In this article, we analyzed the peripheral nerve specific-biological responses to the application of multi-functional hydrogel-coated electrodes. The surface of the cuff electrode was modified using a multifunctional hydrogel composed of PEG hydrogel, cyclosporin A(CsA)-microsphere(MS) and electrodeposited PEDOT:PSS...
November 10, 2017: Scientific Reports
Tao Xu, Na Xiao, Xiaolong Zhai, Pak Kwan Chan, Chung Tin
Damage to the brain, as a result of various medical conditions, impacts everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit have recently emerged as a possible solution to these problems. Here we describe the development of a real-time cerebellar neuroprosthetic system to substitute neural function in cerebellar circuitry for learning delay eyeblink conditioning (DEC). Approach: The system was empowered by a biologically realistic spiking neural network (SNN) model of the cerebellar neural circuit, which considers the neuronal population and anatomical connectivity of the network...
November 8, 2017: Journal of Neural Engineering
Ronald Sahyouni, Amin Mahmoodi, Jefferson W Chen, David T Chang, Omid Moshtaghi, Hamid R Djalilian, Harrison W Lin
The aim of this study is to discuss the state of the art with regard to established or promising bioelectric therapies meant to alter or control neurologic function. We present recent reports on bioelectric technologies that interface with the nervous system at three potential sites-(1) the end organ, (2) the peripheral nervous system, and (3) the central nervous system-while exploring practical and clinical considerations. A literature search was executed on PubMed, IEEE, and Web of Science databases. A review of the current literature was conducted to examine functional and histomorphological effects of neuroprosthetic interfaces with a focus on end-organ, peripheral, and central nervous system interfaces...
October 23, 2017: Neurosurgical Review
C Boehler, F Oberueber, T Stieglitz, M Asplund
Nanostructured materials exhibit large electrochemical surface areas and are thus of high interest for neural interfaces where low impedance and high charge transfer characteristics are desired. While progress in nanotechnology successively enabled smaller feature sizes and thus improved electrochemical properties, concerns were raised with respect to the mechanical stability of such nano structures for use in neural applications. In our study we address these concerns by investigating the mechanical and electrochemical stability of nanostructured platinum...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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