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https://www.readbyqxmd.com/read/29342103/minimally-invasive-neural-interface-for-distributed-wireless-electrocorticogram-recording-systems
#1
Sun-Il Chang, Sung-Yun Park, Euisik Yoon
This paper presents a minimally-invasive neural interface for distributed wireless electrocorticogram (ECoG) recording systems. The proposed interface equips all necessary components for ECoG recording, such as the high performance front-end integrated circuits, a fabricated flexible microelectrode array, and wireless communication inside a miniaturized custom-made platform. The multiple units of the interface systems can be deployed to cover a broad range of the target brain region and transmit signals via a built-in intra-skin communication (ISCOM) module...
January 17, 2018: Sensors
https://www.readbyqxmd.com/read/29339793/skin-inspired-highly-stretchable-and-conformable-matrix-networks-for-multifunctional-sensing
#2
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/29339580/advantages-of-soft-subdural-implants-for-the-delivery-of-electrochemical-neuromodulation-therapies-to-the-spinal-cord
#3
Marco Capogrosso, Jérôme Gandar, Nathan Greiner, Eduardo Martin Moraud, Nikolaus Wenger, Polina Shkorbatova, Pavel E Мusienko, Ivan Minev, Stephanie P Lacour, Gregoire Courtine
We recently developed soft neural interfaces enabling the delivery of electrical and chemical stimulation to the spinal cord. These stimulations restored locomotion in animal models of paralysis. Soft interfaces can be placed either below or above the dura mater. Theoretically, the subdural location combines many advantages, including increased selectivity of electrical stimulation, lower stimulation thresholds, and targeted chemical stimulation through local drug delivery. However, these advantages have not been documented, nor have their functional impact been studied in-silico or in a relevant animal model of neurological disorders using a multimodal neural interface...
January 17, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29332196/bioelectronic-modulation-of-carotid-sinus-nerve-activity-in-the-rat-a-potential-therapeutic-approach-for-type-2-diabetes
#4
Joana F Sacramento, Daniel J Chew, Bernardete F Melo, Matteo Donegá, Wesley Dopson, Maria P Guarino, Alison Robinson, Jesus Prieto-Lloret, Sonal Patel, Bradley J Holinski, Nishan Ramnarain, Victor Pikov, Kristoffer Famm, Silvia V Conde
AIMS/HYPOTHESIS: A new class of treatments termed bioelectronic medicines are now emerging that aim to target individual nerve fibres or specific brain circuits in pathological conditions to repair lost function and reinstate a healthy balance. Carotid sinus nerve (CSN) denervation has been shown to improve glucose homeostasis in insulin-resistant and glucose-intolerant rats; however, these positive effects from surgery appear to diminish over time and are heavily caveated by the severe adverse effects associated with permanent loss of chemosensory function...
January 14, 2018: Diabetologia
https://www.readbyqxmd.com/read/29331738/recent-advances-in-neural-dust-towards-a-neural-interface-platform
#5
REVIEW
Ryan M Neely, David K Piech, Samantha R Santacruz, Michel M Maharbiz, Jose M Carmena
The neural dust platform uses ultrasonic power and communication to enable a scalable, wireless, and batteryless system for interfacing with the nervous system. Ultrasound offers several advantages over alternative wireless approaches, including a safe method for powering and communicating with sub mm-sized devices implanted deep in tissue. Early studies demonstrated that neural dust motes could wirelessly transmit high-fidelity electrophysiological data in vivo, and that theoretically, this system could be miniaturized well below the mm-scale...
January 10, 2018: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29323135/peptide-based-coatings-for-flexible-implantable-neural-interfaces
#6
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
https://www.readbyqxmd.com/read/29298691/volition-adaptive-control-for-gait-training-using-wearable-exoskeleton-preliminary-tests-with-incomplete-spinal-cord-injury-individuals
#7
Vijaykumar Rajasekaran, Eduardo López-Larraz, Fernando Trincado-Alonso, Joan Aranda, Luis Montesano, Antonio J Del-Ama, Jose L Pons
BACKGROUND: Gait training for individuals with neurological disorders is challenging in providing the suitable assistance and more adaptive behaviour towards user needs. The user specific adaptation can be defined based on the user interaction with the orthosis and by monitoring the user intentions. In this paper, an adaptive control model, commanded by the user intention, is evaluated using a lower limb exoskeleton with incomplete spinal cord injury individuals (SCI). METHODS: A user intention based adaptive control model has been developed and evaluated with 4 incomplete SCI individuals across 3 sessions of training per individual...
January 3, 2018: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/29298521/neural-correlates-of-phrase-quadrature-perception-in-harmonic-rhythm-an-eeg-study-using-a-brain-computer-interface
#8
Alicia Fernández-Sotos, Arturo Martínez-Rodrigo, José Moncho-Bogani, José Miguel Latorre, Antonio Fernández-Caballero
For the sake of establishing the neural correlates of phrase quadrature perception in harmonic rhythm, a musical experiment has been designed to induce music-evoked stimuli related to one important aspect of harmonic rhythm, namely the phrase quadrature. Brain activity is translated to action through electroencephalography (EEG) by using a brain-computer interface. The power spectral value of each EEG channel is estimated to obtain how power variance distributes as a function of frequency. The results of processing the acquired signals are in line with previous studies that use different musical parameters to induce emotions...
November 13, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/29289930/nanomaterials-at-the-neural-interface
#9
REVIEW
Denis Scaini, Laura Ballerini
Interfacing the nervous system with devices able to efficiently record or modulate the electrical activity of neuronal cells represents the underlying foundation of future theranostic applications in neurology and of current openings in neuroscience research. These devices, usually sensing cell activity via microelectrodes, should be characterized by safe working conditions in the biological milieu together with a well-controlled operation-life. The stable device/neuronal electrical coupling at the interface requires tight interactions between the electrode surface and the cell membrane...
December 28, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29281985/deep-convolutional-neural-networks-for-pan-specific-peptide-mhc-class-i-binding-prediction
#10
Youngmahn Han, Dongsup Kim
BACKGROUND: Computational scanning of peptide candidates that bind to a specific major histocompatibility complex (MHC) can speed up the peptide-based vaccine development process and therefore various methods are being actively developed. Recently, machine-learning-based methods have generated successful results by training large amounts of experimental data. However, many machine learning-based methods are generally less sensitive in recognizing locally-clustered interactions, which can synergistically stabilize peptide binding...
December 28, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29250108/convolutional-neural-networks-with-3d-input-for-p300-identification-in-auditory-brain-computer-interfaces
#11
Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) to assist people that somehow find it difficult or impossible to perform certain activities. Focusing on these people as potential users of BCI, we obtained electroencephalogram (EEG) readings from nine healthy subjects who were presented with auditory stimuli via earphones from six different virtual directions. We presented the stimuli following the oddball paradigm to elicit P300 waves within the subject's brain activity for later identification and classification using convolutional neural networks (CNN)...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29249656/brain-computer-interface-with-inhibitory-neurons-reveals-subtype-specific-strategies
#12
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
https://www.readbyqxmd.com/read/29238017/-the-interface-between-the-immune-system-and-autonomic-nervous-system
#13
Shunya Nakane, Akihiro Mukaino, Yukio Ando
  The nervous system and the immune system are two major systems in human body. Although it was revealed these two systems correlated, the control of immune cell dynamics by the nervous system has come to draw a lot of attention at the present time. Recent advances in basic and preclinical science reveal that reflex neural circuits inhibit the production of cytokines and inflammation in several animal models. One well-characterized cytokine-inhibiting mechanism, termed the "inflammatory reflex", is dependent upon vagus nerve stimulation that inhibits cytokine production and attenuates the inflammation...
2017: Nihon Rinshō Men'eki Gakkai Kaishi, Japanese Journal of Clinical Immunology
https://www.readbyqxmd.com/read/29229942/a-neuronal-signature-of-accurate-imitative-learning-in-wild-caught-songbirds-swamp-sparrows-melospiza-georgiana
#14
Dana L Moseley, Narendra R Joshi, Jonathan F Prather, Jeffrey Podos, Luke Remage-Healey
In humans and other animals, behavioural variation in learning has been associated with variation in neural features like morphology and myelination. By contrast, it is essentially unknown whether cognitive performance scales with electrophysiological properties of individual neurons. Birdsong learning offers a rich system to investigate this topic as song acquisition is similar to human language learning. Here, we address the interface between behavioural learning and neurophysiology in a cohort of wild-caught, hand-reared songbirds (swamp sparrows, Melospiza georgiana)...
December 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29213189/spikinglab-modelling-agents-controlled-by-spiking-neural-networks-in-netlogo
#15
Cristian Jimenez-Romero, Jeffrey Johnson
The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of tools for the simulation and study of neuronal dynamics ranging from phenomenological models to the more sophisticated and biologically accurate Hodgkin-and-Huxley-based and multi-compartmental models. However, despite the multiple features offered by neural modelling tools, their integration with environments for the simulation of robots and agents can be challenging and time consuming. The implementation of artificial neural circuits to control robots generally involves the following tasks: (1) understanding the simulation tools, (2) creating the neural circuit in the neural simulator, (3) linking the simulated neural circuit with the environment of the agent and (4) programming the appropriate interface in the robot or agent to use the neural controller...
2017: Neural Computing & Applications
https://www.readbyqxmd.com/read/29209023/motor-cortical-activity-changes-during-neuroprosthetic-controlled-object-interaction
#16
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/29205933/a-highly-selective-3d-spiked-ultraflexible-neural-sun-interface-for-decoding-peripheral-nerve-sensory-information
#17
Jiahui Wang, Xin Yuan Thow, Hao Wang, Sanghoon Lee, Kai Voges, Nitish V Thakor, Shih-Cheng Yen, Chengkuo Lee
Artificial sensors on the skin are proposed as a way to capture information that can be used in intracortical microstimulation or peripheral intraneural stimulation to restore sensory feedback to persons with tetraplegia. However, the ability of these artificial sensors to replicate the density and complexity of the natural mechanoreceptors is limited. One relatively unexplored approach is to make use of the signals from surviving tactile and proprioceptive receptors in existing limbs by recording from their transmitting axons within the primary sensory nerves...
December 4, 2017: Advanced Healthcare Materials
https://www.readbyqxmd.com/read/29202327/mesh-electronics-a-new-paradigm-for-tissue-like-brain-probes
#18
REVIEW
Guosong Hong, Xiao Yang, Tao Zhou, Charles M Lieber
Existing implantable neurotechnologies for understanding the brain and treating neurological diseases have intrinsic properties that have limited their capability to achieve chronically-stable brain interfaces with single-neuron spatiotemporal resolution. These limitations reflect what has been dichotomy between the structure and mechanical properties of living brain tissue and non-living neural probes. To bridge the gap between neural and electronic networks, we have introduced the new concept of mesh electronics probes designed with structural and mechanical properties such that the implant begins to 'look and behave' like neural tissue...
December 1, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29201621/thermal-release-transfer-printing-for-stretchable-conformal-bioelectronics
#19
Zhuocheng Yan, Taisong Pan, Miaomiao Xue, Changyong Chen, Yan Cui, Guang Yao, Long Huang, Feiyi Liao, Wei Jing, Hulin Zhang, Min Gao, Daqing Guo, Yang Xia, Yuan Lin
Soft neural electrode arrays that are mechanically matched between neural tissues and electrodes offer valuable opportunities for the development of disease diagnose and brain computer interface systems. Here, a thermal release transfer printing method for fabrication of stretchable bioelectronics, such as soft neural electrode arrays, is presented. Due to the large, switchable and irreversible change in adhesion strength of thermal release tape, a low-cost, easy-to-operate, and temperature-controlled transfer printing process can be achieved...
November 2017: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
https://www.readbyqxmd.com/read/29201608/toward-bioelectronic-medicine-neuromodulation-of-small-peripheral-nerves-using-flexible-neural-clip
#20
Sanghoon Lee, Wendy Yen Xian Peh, Jiahui Wang, Fengyuan Yang, John S Ho, Nitish V Thakor, Shih-Cheng Yen, Chengkuo Lee
Neural modulation technology and the capability to affect organ function have spawned the new field of bioelectronic medicine. Therapeutic interventions depend on wireless bioelectronic neural interfaces that can conformally and easily attach to small (few hundred micrometers) nerves located deep in the body without neural damage. Besides size, factors like flexibility and compliance to attach and adapt to visceral nerves associated moving organs are of paramount importance and have not been previously addressed...
November 2017: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
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