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https://www.readbyqxmd.com/read/28806331/cochlear-implants-meet-regenerative-biology-state-of-the-science-and-future-research-directions
#1
Alain Dabdoub, Koji Nishimura
: The cochlear implant, the first device to restore a human sense, is an electronic substitute for lost mechanosensory hair cells. It has been successful at providing hearing to people with severe to profound hearing loss and as of 2012, an estimated 324,000 patients worldwide have received cochlear implants. Users of cochlear implants however, suffer from difficulties in processing complex sounds such as music and in discriminating sounds in noisy environments. Recent advances in regenerative biology and medicine are opening new avenues for enhancing the efficacy of cochlear implants by improving the neural interface in the future and offer the possibility of an entirely biological solution for hearing loss in the long term...
September 2017: Otology & Neurotology
https://www.readbyqxmd.com/read/28805689/visual-servoing-for-an-autonomous-hexarotor-using-a-neural-network-based-pid-controller
#2
Carlos Lopez-Franco, Javier Gomez-Avila, Alma Y Alanis, Nancy Arana-Daniel, Carlos Villaseñor
In recent years, unmanned aerial vehicles (UAVs) have gained significant attention. However, we face two major drawbacks when working with UAVs: high nonlinearities and unknown position in 3D space since it is not provided with on-board sensors that can measure its position with respect to a global coordinate system. In this paper, we present a real-time implementation of a servo control, integrating vision sensors, with a neural proportional integral derivative (PID), in order to develop an hexarotor image based visual servo control (IBVS) that knows the position of the robot by using a velocity vector as a reference to control the hexarotor position...
August 12, 2017: Sensors
https://www.readbyqxmd.com/read/28798411/group-augmentation-in-realistic-visual-search-decisions-via-a-hybrid-brain-computer-interface
#3
Davide Valeriani, Caterina Cinel, Riccardo Poli
Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to improve the performance of groups undertaking a realistic visual-search task. Our hBCI extracts neural information from EEG signals and combines it with response times to build an estimate of the decision confidence. This is used to weigh individual responses, resulting in improved group decisions...
August 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28794196/limbic-motor-integration-by-neural-excitations-and-inhibitions-in-the-nucleus-accumbens
#4
Sara E Morrison, Vincent B McGinty, Johann du Hoffmann, Saleem M Nicola
The nucleus accumbens (NAc) has often been described as a "limbic-motor interface," implying that the NAc integrates the value of expected rewards with the motor planning required to obtain them. However, there is little direct evidence that the signaling of individual NAc neurons combines information about predicted reward and behavioral response. Here, we report that cue-evoked neural responses in the NAc form a likely physiological substrate for its limbic-motor integration function. Across task contexts, individual NAc neurons in behaving rats robustly encode the reward-predictive qualities of a cue, as well as the probability of behavioral response to the cue, as coexisting components of the neural signal...
August 9, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28769776/affective-aspects-of-perceived-loss-of-control-and-potential-implications-for-brain-computer-interfaces
#5
Sebastian Grissmann, Thorsten O Zander, Josef Faller, Jonas Brönstrup, Augustin Kelava, Klaus Gramann, Peter Gerjets
Most brain-computer interfaces (BCIs) focus on detecting single aspects of user states (e.g., motor imagery) in the electroencephalogram (EEG) in order to use these aspects as control input for external systems. This communication can be effective, but unaccounted mental processes can interfere with signals used for classification and thereby introduce changes in the signal properties which could potentially impede BCI classification performance. To improve BCI performance, we propose deploying an approach that potentially allows to describe different mental states that could influence BCI performance...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28769755/broadband-prosthetic-interfaces-combining-nerve-transfers-and-implantable-multichannel-emg-technology-to-decode-spinal-motor-neuron-activity
#6
Konstantin D Bergmeister, Ivan Vujaklija, Silvia Muceli, Agnes Sturma, Laura A Hruby, Cosima Prahm, Otto Riedl, Stefan Salminger, Krisztina Manzano-Szalai, Martin Aman, Michael-Friedrich Russold, Christian Hofer, Jose Principe, Dario Farina, Oskar C Aszmann
Modern robotic hands/upper limbs may replace multiple degrees of freedom of extremity function. However, their intuitive use requires a high number of control signals, which current man-machine interfaces do not provide. Here, we discuss a broadband control interface that combines targeted muscle reinnervation, implantable multichannel electromyographic sensors, and advanced decoding to address the increasing capabilities of modern robotic limbs. With targeted muscle reinnervation, nerves that have lost their targets due to an amputation are surgically transferred to residual stump muscles to increase the number of intuitive prosthetic control signals...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28769747/movement-related-sensorimotor-high-gamma-activity-mainly-represents-somatosensory-feedback
#7
Seokyun Ryun, June S Kim, Eunjeong Jeon, Chun K Chung
Somatosensation plays pivotal roles in the everyday motor control of humans. During active movement, there exists a prominent high-gamma (HG >50 Hz) power increase in the primary somatosensory cortex (S1), and this provides an important feature in relation to the decoding of movement in a brain-machine interface (BMI). However, one concern of BMI researchers is the inflation of the decoding performance due to the activation of somatosensory feedback, which is not elicited in patients who have lost their sensorimotor function...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28766392/vagal-influences-in-rheumatoid-arthritis
#8
S E Rasmussen, M Pfeiffer-Jensen, A M Drewes, A D Farmer, B W Deleuran, K Stengaard-Pedersen, B Brock, C Brock
Rheumatoid arthritis (RA) is a chronic immune-mediated inflammatory disease with a prevalence of 0.5-1% in Western populations. Conventionally, it is treated with therapeutic interventions that include corticosteroids, disease-modifying anti-rheumatic drugs, and biological agents. RA exerts a significant socio-economic burden and despite the use of existing treatments some patients end up with disabling symptoms. The autonomic nervous system (ANS) is a brain-body interface that serves to regulate homeostasis by integrating the external environment with the internal milieu...
August 2, 2017: Scandinavian Journal of Rheumatology
https://www.readbyqxmd.com/read/28756027/key-considerations-in-designing-a-speech-brain-computer-interface
#9
Florent Bocquelet, Thomas Hueber, Laurent Girin, Stéphan Chabardès, Blaise Yvert
Restoring communication in case of aphasia is a key challenge for neurotechnologies. To this end, brain-computer strategies can be envisioned to allow artificial speech synthesis from the continuous decoding of neural signals underlying speech imagination. Such speech brain-computer interfaces do not exist yet and their design should consider three key choices that need to be made: the choice of appropriate brain regions to record neural activity from, the choice of an appropriate recording technique, and the choice of a neural decoding scheme in association with an appropriate speech synthesis method...
August 7, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28753740/photopolymerized-micropatterns-with-high-feature-frequencies-overcome-chemorepulsive-borders-to-direct-neurite-growth
#10
Bradley W Tuft, Linjing Xu, Braden Leigh, Daniel Lee, C Allan Guymon, Marlan R Hansen
Developing and regenerating neurites respond to a variety of biophysical and biochemical cues in their microenvironment to reach target cells and establish appropriate synapses. Defining the hierarchal relationship of both types of cues to direct neurite growth carries broad significance for neural development, regeneration, and, in particular, engineering of neural prostheses that improve tissue integration with native neural networks. In this work, chemorepulsive biochemical borders are established on substrates with a range of surface microfeatures to determine the potential of physical cues to overcome conflicting biochemical cues...
July 28, 2017: Journal of Tissue Engineering and Regenerative Medicine
https://www.readbyqxmd.com/read/28747883/obstacle-avoidance-and-target-acquisition-for-robot-navigation-using-a-mixed-signal-analog-digital-neuromorphic-processing-system
#11
Moritz B Milde, Hermann Blum, Alexander Dietmüller, Dora Sumislawska, Jörg Conradt, Giacomo Indiveri, Yulia Sandamirskaya
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offering an alternative to the von Neumann computing architecture that is low-power, inherently parallel, and event-driven. This hardware allows to implement neural-network based robotic controllers in an energy-efficient way with low latency, but requires solving the problem of device variability, characteristic for analog electronic circuits. In this work, we interfaced a mixed-signal analog-digital neuromorphic processor ROLLS to a neuromorphic dynamic vision sensor (DVS) mounted on a robotic vehicle and developed an autonomous neuromorphic agent that is able to perform neurally inspired obstacle-avoidance and target acquisition...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28743085/direct-electrodeposition-of-graphene-enhanced-conductive-polymer-on-microelectrode-for-biosensing-application
#12
Ming-Hao Wang, Bo-Wen Ji, Xiao-Wei Gu, Hong-Chang Tian, Xiao-Yang Kang, Bin Yang, Xiao-Lin Wang, Xiang Chen, Cheng-Yu Li, Jing-Quan Liu
Engineering of neural interface with nanomaterials for high spatial resolution neural recording and stimulation is still hindered by materials properties and modification methods. Recently, poly(3,4-ethylene-dioxythiophene) (PEDOT) has been widely used as an electrode-tissue interface material for its good electrochemical property. However, cracks and delamination of PEDOT film under pulse stimulation are found which restrict its long-term applications. This paper develops a flexible electrochemical method about the co-deposition of graphene with PEDOT on microelectrode sites to enhance the long-term stability and improve the electrochemical properties of microelectrode...
July 13, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28739165/quantitative-models-of-feline-lumbosacral-dorsal-root-ganglia-neuronal-cell-density
#13
Anastasia K Ostrowski, Zachariah J Sperry, Grant Kulik, Tim M Bruns
BACKGROUND: Dorsal root ganglia (DRG) are spinal root components that contain the cell bodies of converging primary sensory neurons. DRG are becoming a therapeutic target for electrical neural interfaces. Our purpose was to establish methods for quantifying the non-random nature and distribution of neuronal cell bodies within DRG. NEW METHOD: We identified neuronal cell body locations in 26 feline lumbosacral DRG cross-section histological images and used computational tools to quantify spatial trends...
July 21, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28736165/intra-lineage-fate-decisions-involve-activation-of-notch-receptors-basal-to-the-midbody-in-drosophila-sensory-organ-precursor-cells
#14
Mateusz Trylinski, Khalil Mazouni, François Schweisguth
Notch receptors regulate cell fate decisions during embryogenesis and throughout adult life. In many cell lineages, binary fate decisions are mediated by directional Notch signaling between the two sister cells produced by cell division. How Notch signaling is restricted to sister cells after division to regulate intra-lineage decision is poorly understood. More generally, where ligand-dependent activation of Notch occurs at the cell surface is not known, as methods to detect receptor activation in vivo are lacking...
August 7, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28735029/peptide-modification-of-polyimide-insulated-microwires-towards-improved-biocompatibility-through-reduced-glial-scarring
#15
Sangita Sridar, Matthew A Churchward, Vivian K Mushahwar, Kathryn G Todd, Anastasia L Elias
The goal of this study is to improve the integration of implanted microdevices with tissue in the central nervous system (CNS). The long-term utility of neuroprosthetic devices implanted in the CNS is affected by the formation of a scar by resident glial cells (astrocytes and microglia), limiting the viability and functional stability of the devices. Reduction in the proliferation of glial cells is expected to enhance the biocompatibility of devices. We demonstrate the modification of polyimide-insulated microelectrodes with a bioactive peptide KHIFSDDSSE...
July 19, 2017: Acta Biomaterialia
https://www.readbyqxmd.com/read/28729830/resting-state-fluctuations-of-eeg-sensorimotor-rhythm-reflect-bold-activities-in-the-pericentral-areas-a-simultaneous-eeg-fmri-study
#16
Shohei Tsuchimoto, Shuka Shibusawa, Nobuaki Mizuguchi, Kenji Kato, Hiroki Ebata, Meigen Liu, Takashi Hanakawa, Junichi Ushiba
Blockade of the scalp electroencephalographic (EEG) sensorimotor rhythm (SMR) is a well-known phenomenon following attempted or executed motor functions. Such a frequency-specific power attenuation of the SMR occurs in the alpha and beta frequency bands and is spatially registered at primary somatosensory and motor cortices. Here, we hypothesized that resting-state fluctuations of the SMR in the alpha and beta frequency bands also covary with resting-state sensorimotor cortical activity, without involving task-related neural dynamics...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28722685/neural-control-of-finger-movement-via-intracortical-brain-machine-interface
#17
Zachary T Irwin, Karen E Schroeder, Philip P Vu, Autumn J Bullard, Derek M Tat, Chrono S Nu, Alex Vaskov, Samuel R Nason, David E Thompson, Nicole Bentley, Parag G Patil, Cynthia A Chestek
OBJECTIVE: Intracortical brain-machine interfaces (BMIs) are a promising source of prosthesis control signals for individuals with severe motor disabilities. Previous BMI studies have primarily focused on predicting and controlling whole-arm movements; precise control of hand kinematics, however, has not been fully demonstrated. Here, we investigate the continuous decoding of precise finger movements in rhesus macaques. APPROACH: In order to elicit precise and repeatable finger movements, we have developed a novel behavioral task paradigm which requires the subject to acquire virtual fingertip position targets...
July 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28720792/optical-read-out-of-neural-activity-in-mammalian-peripheral-axons-calcium-signaling-at-nodes-of-ranvier
#18
Arjun K Fontaine, Emily A Gibson, John H Caldwell, Richard F Weir
Current neural interface technologies have serious limitations for advanced prosthetic and therapeutic applications due primarily to their lack of specificity in neural communication. An optogenetic approach has the potential to provide single cell/axon resolution in a minimally invasive manner by optical interrogation of light-sensitive reporters and actuators. Given the aim of reading neural activity in the peripheral nervous system, this work has investigated an activity-dependent signaling mechanism in the peripheral nerve...
July 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28719580/central-insulin-modulates-food-valuation-via-mesolimbic-pathways
#19
Lena J Tiedemann, Sebastian M Schmid, Judith Hettel, Katrin Giesen, Paul Francke, Christian Büchel, Stefanie Brassen
Central insulin is thought to act at the neural interface between metabolic and hedonic drives to eat. Here, using pharmacological fMRI, we show that intranasal insulin (INI) changes the value of food cues through modulation of mesolimbic pathways. Overnight fasted participants rated the palatability of food pictures and attractiveness of non-food items (control) after receiving INI or placebo. We report that INI reduces ratings of food palatability and value signals in mesolimbic regions in individuals with normal insulin sensitivity...
July 18, 2017: Nature Communications
https://www.readbyqxmd.com/read/28713811/reducing-the-impact-of-shoulder-abduction-loading-on-the-classification-of-hand-opening-and-grasping-in-individuals-with-poststroke-flexion-synergy
#20
Yiyun Lan, Jun Yao, Julius P A Dewald
Application of neural machine interface in individuals with chronic hemiparetic stroke is regarded as a great challenge, especially for classification of the hand opening and grasping during a functional upper extremity movement such as reach-to-grasp. The overall accuracy of classifying hand movements, while actively lifting the paretic arm, is subject to a significant reduction compared to the accuracy when the arm is fully supported. Such a reduction is believed to be due to the expression of flexion synergy, which couples shoulder abduction (SABD) with elbow/wrist and finger flexion, and is common in up to 60% of the stroke population...
2017: Frontiers in Bioengineering and Biotechnology
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