journal
MENU ▼
Read by QxMD icon Read
search

Journal of Neural Engineering

journal
https://www.readbyqxmd.com/read/28631619/modeling-trans-spinal-direct-current-stimulation-for-the-modulation-of-the-lumbar-spinal-motor-pathways
#1
Alexander Kuck, Dick Stegeman, Edwin van Asseldonk
OBJECTIVE: Trans-spinal direct current stimulation (tsDCS) is a potential new technique for the treatment of spinal cord injury (SCI). TsDCS aims to facilitate plastic changes in the neural pathways of the spinal cord with a positive effect on SCI recovery. To establish tsDCS as a possible treatment option for SCI, it is essential to gain a better understanding of its cause and effects. We seek to understand the acute effect of tsDCS, including the generated electric field (EF) and its polarization effect on the spinal circuits, to determine a cellular target...
June 20, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28628030/a-novel-flexible-cuff-like-microelectrode-for-dual-purpose-acute-and-chronic-electrical-interfacing-with-the-mouse-cervical-vagus-nerve
#2
April Shawn Caravaca, Téa Tsaava, Laura Goldman, Harold Silverman, Gary Riggott, Sangeeta Chavan, Chad Bouton, Kevin J Tracey, Robert Desimone, Ed Boyden, Harbaljit Singh Sohal, Peder S Olofsson
OBJECTIVE: Neural reflexes establish homeostasis and regulate the immune system. Advances in bioelectronic medicine indicate that electrical stimulation of the vagus nerve can be used to treat inflammatory disease, yet the understanding of neural signals that regulate inflammation is incomplete. Current interfaces with the vagus nerve do not permit effective chronic stimulation or recording in mouse models, which is vital to studying the molecular and neurophysiological mechanisms that control inflammation homeostasis in health and disease...
June 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28627505/monitoring-alert-and-drowsy-states-by-modeling-eeg-source-nonstationarity
#3
Sheng-Hsiou Hsu, Tzyy-Ping Jung
As a human brain performs various cognitive functions within ever-changing environments, states of the brain characterized by recorded brain activities such as electroencephalogram (EEG) are inevitably nonstationary. The challenges of analyzing the nonstationary EEG signals include finding neurocognitive sources that underlie different brain states and using EEG data to quantitatively assess the state changes. Approach. This study hypothesizes that brain activities under different states, e.g. levels of alertness, can be modeled as distinct compositions of statistically independent sources using independent component analysis (ICA)...
June 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28612758/recording-nerve-signals-in-canine-sciatic-nerves-with-a-flexible-penetrating-microelectrode-array
#4
Donghak Byun, Sung-Joon Cho, Byeong Han Lee, Joongkee Min, Jong-Hyun Lee, Sohee Kim
OBJECTIVE: Previously, we presented the fabrication and characterization of a flexible penetrating microelectrode array (FPMA) as a neural interface device. In the present study, we aim to prove the feasibility of the developed FPMA as a chronic intrafascicular recording tool for peripheral applications. APPROACH: For recording from the peripheral nerves of medium-sized animals, the FPMA was integrated with an interconnection cable and other parts that were designed to fit canine sciatic nerves...
June 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28612757/a-review-of-optical-pacing-with-infrared-light
#5
Stephanie Ford, Michiko Watanabe, Michael Jenkins
Optical pacing (OP) uses pulsed infrared light to initiate heartbeats in electrically-excitable cardiac tissues without employing exogenous agents. OP is an alternative approach to electrical pacing that may overcome some its disadvantages for some applications. In this review, we discuss the initial demonstrations, mechanisms, safety, advantages and applications of OP.
June 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28612755/learning-to-see-again-biological-constraints-on-cortical-plasticity-and-the-implications-for-sight-restoration-technologies
#6
Michael Beyeler, Ariel Rokem, Geoffrey Boynton, Ione Fine
The "bionic eye" - so long a dream of the future - is finally becoming a reality with retinal prostheses available to patients in both the US and Europe. However, clinical experience with these implants has made it apparent that the vision provided by these devices differs substantially from normal sight. Consequently, the ability to learn to make use of this abnormal retinal input plays a critical role in whether or not some functional vision is successfully regained. The goal of the present review is to summarize the vast basic science literature on developmental and adult cortical plasticity with an emphasis on how this literature might relate to the field of prosthetic vision...
June 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28607224/evaluation-of-focused-multipolar-stimulation-for-cochlear-implants-a-preclinical-safety-study
#7
Robert K Shepherd, Andrew K Wise, Ya Lang Enke, Paul M Carter, James B Fallon
OBJECTIVE: Cochlear implants (CIs) have a limited number of independent stimulation channels due to the highly conductive nature of the fluid-filled cochlea. Attempts to develop highly focused stimulation to improve speech perception in CI users includes the use of simultaneous stimulation via multiple current sources. Focused multipolar (FMP) stimulation is an example of this approach and has been shown to reduce interaction between stimulating channels. However, compared with conventional biphasic current pulses generated from a single current source, FMP is a complex stimulus that includes extended periods of stimulation before charge recovery is achieved, raising questions on whether chronic stimulation with this strategy is safe...
June 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28607219/transcranial-direct-current-stimulation-versus-user-training-on-improving-online-myoelectric-control-for-amputees
#8
Lizhi Pan, Dingguo Zhang, Ning Jiang, Xinjun Sheng, Xiangyang Zhu
OBJECTIVE: Transcranial direct current stimulation (tDCS) and user training (UT) are two types of methods to improve myoelectric control performance for amputees. In this study, we compared the independent effect between tDCS and UT, and investigated the combined effect of tDCS and UT. APPROACH: An online paradigm of simultaneous and proportional control (SPC) based on electromyography (EMG) was adopted. The proposed experiments were conducted on six naïve unilateral trans-radial amputees...
June 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28597847/mapping-the-fine-structure-of-cortical-activity-with-different-micro-ecog-electrode-array-geometries
#9
Xi Wang, Alexis Gkogkidis, Olga Iljina, Lukas Fiederer, Chiristian Henle, Irina Mader, Jan Kaminsky, Thomas Stieglitz, Mortimer Gierthmuehlen, Tonio Ball
OBJECTIVE: Innovations in micro-electrocorticography (µECoG) electrode array manufacturing now allow for intricate designs with smaller contact diameters and/or pitch (i.e., center-to-center contact distance) down to the sub-mm range. The aims of the present study were: (i) to investigate whether frequency ranges up to 400 Hz can be reproducibly observed in µECoG recordings and (ii) to examine how differences in topographical substructure between these frequency bands and electrode array geometries can be quantified...
June 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28597846/single-trial-effective-brain-connectivity-patterns-enhance-discriminability-of-mental-imagery-tasks
#10
Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad
The majority of the current approaches of connectivity based BCI systems focus on distinguishing between different motor imagery (MI) tasks. Brain regions associated with MI are anatomically close to each other, hence these BCI systems suffer from low performances. Our objective is to introduce single-trial connectivity feature based BCI system for cognition imagery (CI) based tasks wherein the associated brain regions are located relatively far away as compared to those for MI...
June 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28585523/fusion-of-p300-and-eye-tracker-data-for-spelling-using-bci2000
#11
Dmitry Kalika, Leslie Collins, Kevin Caves, Chandra Throckmorton
OBJECTIVE: Various augmentative and alternative communication (AAC) devices have been developed in order to aid communication for individuals with communication disorders. Recently, there has been interest in combining EEG data and eye-gaze data with the goal of developing a hybrid (or "fused") BCI (hBCI) AAC system. This work explores the effectiveness of a speller that fuses data from an eye-tracker and the P300 speller in order to create a hybrid P300 speller. APPROACH: This hybrid speller collects both eye-tracking and EEG data in parallel, and the user spells characters on the screen in the same way that they would if they were only using the P300 speller...
June 6, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28573984/a-gaussian-mixture-model-based-adaptive-classifier-for-fnirs-brain-computer-interfaces-and-its-testing-via-simulation
#12
Zheng Li, Yi-Han Jiang, Lian Duan, Chao-Zhe Zhu
OBJECTIVE: Functional near infra-red spectroscopy (fNIRS) is a promising brain imaging technology for brain-computer interfaces (BCI). Future clinical uses of fNIRS will likely require operation over long time spans, during which neural activation patterns may change. However, current decoders for fNIRS signals are not designed to handle changing activation patterns. The objective of this study is to test via simulations a new adaptive decoder for fNIRS signals, the Gaussian mixture model adaptive classifier (GMMAC)...
June 2, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28573983/neuromorphic-neural-interfaces-from-neurophysiological-inspiration-to-biohybrid-coupling-with-nervous-systems
#13
Frédéric D Broccard, Siddharth Joshi, Jun Wang, Gert Cauwenberghs
OBJECTIVE: Computation in nervous systems operates with different computational primitives, and on different hardware, than traditional digital computation and is thus subjected to different constraints from its digital counterpart regarding the use of physical resources such as time, space and energy. In an effort to better understand neural computation on a physical medium with similar spatiotemporal and energetic constraints, the field of neuromorphic engineering aims to design and implement electronic systems that emulate in very large-scale integration (VLSI) hardware the organization and functions of neural systems at multiple levels of biological organization, from individual neurons up to large circuits and networks...
June 2, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28573982/a-silicon-carbide-electrode-technology-for-the-central-and-the-peripheral-nervous-system
#14
Camilo Diaz-Botia, Lunet Luna, Ryan Neely, Maysam Chamanzar, Carlo Cararro, Jose Carmena, Philip Sabes, Roya Maboudian, Michel Maharbiz
Current neural probes have limited device lifetime a few years. Their common failure mode is the degradation of insulating films and/or the delamination of the conductor-insulator interfaces. We sought to develop a technology that does not suffer from such limitations and would be suitable for chronic applications with very long device lifetime. Approach: We developed a fabrication method that integrates polycrystalline conductive silicon carbide with insulating silicon carbide. The technology employs amorphous silicon carbide as insulator and conductive silicon carbide at the recording sites, resulting in a seamless transition between doped and amorphous regions of the same material, eliminating heterogeneous interfaces prone to delamination...
June 2, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28555611/real-time-inference-of-word-relevance-from-electroencephalogram-and-eye-gaze
#15
Markus Andreas Wenzel, Mihail Bogojeski, Benjamin Blankertz
OBJECTIVE: Brain-computer interfaces can potentially map the subjective relevance of the visual surrounding, based on neural activity and eye movements, in order to infer the interest of a person in real-time. APPROACH: Readers looked for words belonging to one out of five semantic categories, while a stream of words passed at different locations on the screen. It was estimated in real-time which words and thus which semantic category interested each reader based on the electroencephalogram (EEG) and the eye gaze...
May 30, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28548052/optimizing-the-stimulus-presentation-paradigm-design-for-the-p300-based-brain-computer-interface-using-performance-prediction
#16
B O Mainsah, G Reeves, L M Collins, C S Throckmorton
OBJECTIVE: The role of a brain-computer interface (BCI) is to discern a user's intended message or action by extracting and decoding relevant information from brain signals. Stimulus-driven BCIs, such as the P300 speller, rely on detecting event-related potentials (ERPs) in response to a user attending to relevant or target stimulus events. However, this process is error-prone because the ERPs are embedded in noisy electroencephalography (EEG) data, representing a fundamental problem in communication of the uncertainty in the information that is received during noisy transmission...
May 26, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28548044/falcon-a-highly-flexible-open-source-software-for-closed-loop-neuroscience
#17
Davide Ciliberti, Fabian Kloosterman
OBJECTIVE: Closed-loop experiments provide unique insights into brain dynamics and function. To facilitate a wide range of closed-loop experiments, we created an open-source software platform that enables high-performance real-time processing of streaming experimental data. APPROACH: We wrote Falcon, a C++ multi-threaded software in which the user can load and execute an arbitrary processing graph. Each node of a Falcon graph is mapped to a single thread and nodes communicate with each other through thread-safe buffers...
May 26, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28541930/progress-in-artificial-vision-through-suprachoroidal-retinal-implants
#18
Lilach Bareket, Alejandro Barriga-Rivera, Marc Patrick Zapf, Nigel H Lovell, Gregg J Suaning
Retinal implants have proven their ability to restore visual sensation to people with degenerative retinopathy, characterized by photoreceptor cell death and the retina's inability to sense light. Retinal bionics operate by electrically stimulating the surviving neurons in the retina, thus triggering the transfer of visual sensory information to the brain. Suprachoroidal implants were first investigated in Australia in the 1950s. In this approach, the neuromodulation hardware is positioned between the sclera and the choroid, thus providing significant surgical and safety benefits for patients, with the potential to maintain residual vision combined with the artificial input from the device...
May 25, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28540866/electrophysiological-signatures-of-atypical-intrinsic-brain-connectivity-networks-in-autism
#19
Guofa Shou, Matthew W Mosconi, Jun Wang, Lauren E Ethridge, John A Sweeney, Lei Ding
OBJECTIVE: Abnormal local and long-range brain connectivity have been widely reported in autism spectrum disorder (ASD), yet the nature of these abnormalities and their functional relevance at distinct cortical rhythms remains unknown. Investigations of intrinsic connectivity networks (ICNs) and their coherence across whole brain networks hold promise for determining whether patterns of functional connectivity abnormalities vary across frequencies and networks in ASD. In the present study, we aimed to probe atypical intrinsic brain connectivity networks in ASD from resting-state electroencephalography (EEG) data via characterizing the whole brain network...
May 25, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28540863/objective-quality-assessment-of-stereoscopic-images-with-vertical-disparity-using-eeg
#20
Forooz Shahbazi Avarvand, Sebastian Bosse, Klaus-Robert Müller, Ralf Schäfer, Guido Nolte, Thomas Wiegand, Gabriel Curio, Wojciech Samek
OBJECTIVE: Neurophysiological correlates of vertical disparity in 3D images are studied in an objective approach using EEG technique. These disparities are known to negatively affect the quality of experience and to cause visual discomfort in stereoscopic visualizations. APPROACH: We have presented four conditions to subjects: one in 2D and three conditions in 3D, one without vertical disparity and two with different vertical disparity levels. Event related potentials (ERPs) are measured for each condition and the differences between ERP components are studied...
May 25, 2017: Journal of Neural Engineering
journal
journal
40711
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"