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Journal of Neural Engineering

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https://www.readbyqxmd.com/read/28332484/multivariate-regression-methods-for-estimating-velocity-of-ictal-discharges-from-human-microelectrode-recordings
#1
Jyun-You Liou, Elliot Smith, Lisa Bateman, Guy McKhann, Robert Goodman, Bradley Greger, Tyler Davis, Spencer Kellis, Paul House, Catherine Schevon
OBJECTIVE: Epileptiform discharges, an electrophysiological hallmark of seizures, can propagate across cortical tissue in a manner similar to traveling waves. Recent work has focused attention on the origination and propagation patterns of these discharges, yielding important clues to their source location and mechanism of travel. However, systematic studies of methods for measuring propagation are lacking. APPROACH: We analyzed epileptiform discharges in microelectrode array recordings of human seizures...
March 23, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28327467/automated-detection-of-epileptic-ripples-in-meg-using-beamformer-based-virtual-sensors
#2
Carolina Migliorelli, Joan Alonso, Sergio Romero, Rafal Nowak, Antonio Russi, Miguel Mananas
OBJECTIVE: In epilepsy, high-frequency oscillations (HFOs) are considered events highly linked to the seizure onset zone (SOZ). The detection of HFOs in noninvasive signals such as scalp EEG and MEG is still a challenging task. The aim of this study was to automatize the detection of ripples in MEG signals reducing the high-frequency noise using beamformer-based virtual sensors (VS) and applying an automatic procedure exploring the time-frequency content of the detected events. APPROACH: 200 seconds of MEG signals and simultaneous iEEG were selected in nine patients with refractory epilepsy...
March 22, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28323640/a-micro-scale-printable-nanoclip-for-electrical-stimulation-and-recording-in-small-nerves
#3
Charles A Lissandrello, Winthrop F Gillis, Jun Shen, Ben W Pearre, Flavia Vitale, Matteo Pasquali, Bradley J Holinski, Daniel J Chew, Alice E White, Timothy J Gardner
OBJECTIVE: The vision of bioelectronic medicine is to treat disease by modulating the signaling of visceral nerves near various end organs. In small animal models, the nerves of interest can have small diameters and limited surgical access. New high-resolution methods for building nerve interfaces are desirable. In this study, we present a novel nerve interface and demonstrate its use for stimulation and recording in small nerves. APPROACH: We design and fabricate micro-scale electrode-laden nanoclips capable of interfacing with nerves as small as 50 µm in diameter...
March 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28322213/chronic-monitoring-of-lower-urinary-tract-activity-via-a-sacral-dorsal-root-ganglia-interface
#4
Abeer Khurram, Shani Ross, Zachariah Sperry, Aileen Ouyang, Christopher Stephan, Ahmad Jiman, Tim M Bruns
OBJECTIVE: Our goal is to develop an interface that integrates chronic monitoring of lower urinary tract (LUT) activity with stimulation of peripheral pathways. APPROACH: Penetrating microelectrodes were implanted in sacral dorsal root ganglia (DRG) of adult male felines. Peripheral electrodes were placed on or in the pudendal nerve, bladder neck and near the external urethral sphincter. Supra-pubic bladder catheters were implanted for saline infusion and pressure monitoring...
March 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28294109/goal-recognition-based-adaptive-brain-computer-interface-for-navigating-immersive-robotic-systems
#5
Mohammad Abu-Alqumsan, Felix Ebert, Angelika Peer
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandwidth-hungry application, and a way to enable fluent and intuitive interaction in embodiment systems. The main focus is laid upon inferring the hidden target goals of users while navigating in a remote environment as a basis for possible adaptations...
March 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28291741/nanosecond-uv-lasers-stimulate-transient-ca-2-elevations-in-human-hnt-astrocytes
#6
B J Raos, E S Graham, C P Unsworth
OBJECTIVE: Astrocytes respond to various stimuli resulting in intracellular Ca(2+) signals that can propagate through organized functional networks. Recent literature calls for the development of techniques that can stimulate astrocytes in a fast and highly localized manner to emulate more closely the characteristics of astrocytic Ca(2+) signals in vivo. APPROACH: In this article we demonstrate, for the first time, how nanosecond UV lasers are capable of reproducibly stimulating Ca(2+) transients in human hNT astrocytes...
March 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28291737/advantages-of-eeg-phase-patterns-for-the-detection-of-gait-intention-in-healthy-and-stroke-subjects
#7
Andreea Ioana Sburlea, Luis Montesano, Javier Minguez
OBJECTIVE: One use of EEG-based brain-computer interfaces (BCIs) in rehabilitation is the detection of movement intention. In this paper we investigate for the first time the instantaneous phase of movement related cortical potential (MRCP) and its application to the detection of gait intention. APPROACH: We demonstrate the utility of MRCP phase in two independent datasets, in which 10 healthy subjects and 9 chronic stroke patients executed a self-initiated gait task in three sessions...
March 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28287078/the-design-of-and-chronic-tissue-response-to-a-composite-nerve-electrode-with-patterned-stiffness
#8
Max Freeberg, Matthew Stone, Ronald Triolo, Dustin Tyler
As neural interfaces demonstrate success in chronic applications, a novel class of reshaping electrodes with patterned regions of stiffness will enable application to a widening range of anatomical locations. Patterning stiff regions and flexible regions of the electrode enables nerve reshaping while accommodating anatomical constraints of various implant locations ranging from peripheral nerves to spinal and autonomic plexi. Introduced is a new composite electrode enabling patterning of regions of various electrode mechanical properties...
March 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28287076/improving-zero-training-brain-computer-interfaces-by-mixing-model-estimators
#9
Thibault Verhoeven, David Hübner, Michael Tangermann, Klaus-Robert Mueller, Joni Dambre, Pieter-Jan Kindermans
OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a decoder to classify recorded brain signals and subsequently select a control signal that drives a computer application. Standard supervised BCI decoders require a tedious calibration procedure prior to every session. Several unsupervised classification methods have been proposed that tune the decoder during actual use and as such omit this calibration. Each of these methods has its own strengths and weaknesses...
March 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28272027/in-vitro-biocompatibility-and-electrical-stability-of-thick-film-platinum-gold-alloy-electrodes-printed-on-alumina
#10
Alejandro Carnicer-Lombarte, Henry Lancashire, Anne Vanhoestenberghe
OBJECTIVE: High-density electrode arrays are a powerful tool in both clinical neuroscience and basic research. However, current manufacturing techniques require the use of specialised techniques and equipment, which are available to few labs. We have developed a high-density electrode array with customisable design, manufactured using simple printing techniques and with commercially available materials. APPROACH: Electrode arrays were manufactured by thick-film printing a platinum-gold alloy (Pt/Au) and an insulating dielectric on 96% alumina ceramic plates...
March 8, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28272020/a-stationary-wavelet-transform-and-a-time-frequency-based-spike-detection-algorithm-for-extracellular-recorded-data
#11
Florian Lieb, Hans-Georg Stark, Christiane Thielemann
OBJECTIVE Spike detection from extracellular recordings is a crucial preprocessing step when analyzing neuronal activity. The decision whether a specific part of the signal is a spike or not is important for any kind of other subsequent preprocessing steps, like spike sorting or burst detection in order to reduce the classification of erroneously identified spikes. Many spike detection algorithms have already been suggested, all working reasonably well whenever the signal-to-noise ratio is large enough. When the noise level is high, however, these algorithms have a poor performance...
March 8, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28266930/open-ephys-electroencephalography-open-ephys-eeg-a-modular-low-cost-open-source-solution-to-human-neural-recording
#12
Christopher Black, Jakob Voigts, Uday Agrawal, Max Ladow, Juan Santoyo, Christopher Moore, Stephanie Jones
Electroencephalography (EEG) offers a unique opportunity to study human neural activity non-invasively with millisecond resolution using minimal equipment in or outside of a lab setting. EEG can be combined with a number of techniques for closed-loop experiments, where external devices are driven by specific neural signals. For example, EEG signals have been used to regulate anesthetic delivery, to control brain-computer interfaces, and to drive transcranial alternating current stimulation for the treatment of psychiatric illness...
March 7, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28251960/optimizing-the-design-of-bipolar-nerve-cuff-electrodes-for-improved-recording-of-peripheral-nerve-activity
#13
Parisa Sabetian, Milos Popovic, Paul Yoo
OBJECTIVE: Differential measurement of efferent and afferent peripheral nerve activity offers a promising means of improving the clinical utility of implantable neuroprostheses. The tripolar nerve cuff electrode has historically served as the gold standard for achieving high signal-to-noise ratios (SNRs) of the recordings. However, the symmetrical geometry of this electrode array (i.e., electrically-shorted side contacts) precludes it from measuring electrical signals that can be used to obtain directional information...
March 2, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28240598/feedback-for-reinforcement-learning-based-brain-machine-interfaces-using-confidence-metrics
#14
Noeline Prins, Justin Sanchez, Abhishek Prasad
OBJECTIVE: For Brain-Machine Interfaces (BMI) to be used in activities of daily living by paralyzed individuals, the BMI should be as autonomous as possible. One of the challenges is how the feedback is extracted and utilized in the BMI. Our long-term goal is to create autonomous BMIs that can utilize an evaluative feedback from the brain to update the decoding algorithm and use it intelligently in order to adapt the decoder. In this study, we show how to extract the necessary evaluative feedback from a biologically realistic (synthetic) source, use both the quantity and the quality of the feedback, and how that feedback information can be incorporated into a reinforcement learning (RL) controller architecture to maximize its performance...
February 27, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28240216/training-free-compressed-sensing-for-wireless-neural-recording-using-analysis-model-and-group-weighted-l1-minimization
#15
Biao Sun, Wenfeng Zhao, Xinshan Zhu
OBJECTIVE: Data compression is crucial for resource-constrained wireless neural recording applications with limited data bandwidth, and Compressed Sensing (CS) theory has successfully demonstrated its potential in neural recording applications. In this paper, an analytical, training-free CS recovery method, termed Group Weighted Analysis l1-Minimization (GWALM), is proposed for wireless neural recording. APPROACH: The GWALM method consists of three parts: 1) The analysis model is adopted to enforce sparsity of the neural signals, therefore overcoming the drawbacks of conventional synthesis models and enhancing the recovery performance...
February 27, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28224972/a-mathematical-model-for-the-two-learners-problem
#16
Jan Saputra Müller, Carmen Vidaurre, Martijn Schreuder, Frank C Meinecke, Paul von Bünau, Klaus-Robert Müller
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine. APPROACH: After the description of the training protocol of the two learning systems, we define a simple linear model where the two learning agents are coupled by a joint loss function. The simplicity of the model allows us to find learning rules for both human and machine that permit computing theoretical simulations...
February 22, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28224970/an-improved-p300-pattern-in-bci-to-catch-user-s-attention
#17
Jing Jin, Hanhan Zhang, Ian Daly, Xingyu Wang, Andrzej Cichocki
OBJECTIVE: Brain-computer interfaces (BCIs) can help patients who have lost control over most muscles but are still conscious and able to communicate or interact with the environment. One of the most popular types of BCI is the P300-based BCI. With this BCI, users are asked to count the number of appearances of target stimuli in an experiment. To date, the majority of visual P300-based BCI systems developed have used the same character or picture as the target for every stimulus presentation, which can bore users...
February 22, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28220764/dimensionality-reduction-based-on-distance-preservation-to-local-mean-dplm-for-spd-matrices-and-its-application-in-bci
#18
Alireza Davoudi, Saeed Shiry Ghidary, Khadijeh Sadatnejad
OBJECTIVE: In this paper, we propose a nonlinear dimensionality reduction algorithm for the manifold of Symmetric Positive Definite (SPD) matrices that considers the geometry of SPD matrices and provides a low dimensional representation of the manifold with high class discrimination in a supervised or unsupervised manner. APPROACH: The proposed algorithm, tries to preserve the local structure of the data by preserving distances to local means (DPLM) and also provides an implicit projection matrix...
February 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28220759/musculoskeletal-model-based-control-interface-mimics-physiologic-hand-dynamics-during-path-tracing-task
#19
Dustin Lee Crouch, Helen Huang
OBJECTIVE: We investigated the feasibility of a novel, customizable, simplified EMG-driven musculoskeletal model for estimating coordinated hand and wrist motions during a real-time path tracing task. APPROACH: A two-degree-of-freedom (DOF) computational musculoskeletal model was implemented for real-time EMG-driven control of a stick figure hand displayed on a computer screen. After 5 to 10 minutes of undirected practice, subjects were given 3 attempts to trace 10 straight paths, one at a time, with the fingertip of the virtual hand...
February 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28211795/a-murine-model-of-a-novel-surgical-architecture-for-proprioceptive-muscle-feedback-and-its-potential-application-to-control-of-advanced-limb-prostheses
#20
Tyler R Clites, Matthew J Carty, Shriya Srinivasan, Anthony N Zorzos, Hugh M Herr
OBJECTIVE: Proprioceptive mechanisms play a critical role in both reflexive and volitional lower extremity control. Significant strides have been made in the development of bionic limbs that are capable of bi-directional communication with the peripheral nervous system, but none of these systems have been capable of providing physiologically-relevant muscle-based proprioceptive feedback through natural neural pathways. In this study, we present the agonist-antagonist myoneural interface (AMI), a surgical approach with the capacity to provide graded kinesthetic feedback from a prosthesis through mechanical activation of native mechanoreceptors within residual agonist-antagonist muscle pairs...
February 17, 2017: Journal of Neural Engineering
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