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Journal of Neural Engineering

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https://www.readbyqxmd.com/read/28516901/eeg-source-space-analysis-of-the-supervised-factor-analytic-approach-for-the-classification-of-multi-directional-arm-movement
#1
Vikram Shenoy Handiru, A P Vinod, Cuntai Guan
OBJECTIVE: In electroencephalography (EEG)-based brain-computer interface (BCI) systems for motor control tasks the conventional practice is to decode motor intentions by using scalp EEG. However, scalp EEG only reveals certain limited information about the complex tasks of movement with a higher degree of freedom. Therefore, our objective is to investigate the effectiveness of source-space EEG in extracting relevant features that discriminate arm movement in multiple directions. APPROACH: We have proposed a novel feature extraction algorithm based on supervised factor analysis that models the data from source-space EEG...
May 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28514229/an-open-source-wireless-capable-miniature-microscope-system
#2
William A Liberti, L Nathan Perkins, Daniel P Leman, Timothy J Gardner
OBJECTIVE: Fluorescence imaging through head-mounted microscopes in freely behaving animals is becoming a standard method to study neural circuit function. Flexible, open-source designs are needed to spur evolution of the method. APPROACH: We describe a miniature microscope for single-photon fluorescence imaging in freely behaving animals. The device is made from 3D printed parts and off-the-shelf components. These microscopes weigh less than 1.8 g, can be configured to image a variety of fluorophores, and can be used wirelessly or in conjunction with active commutators...
May 17, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28513478/a-gaze-independent-hybrid-bci-based-on-visual-spatial-attention
#3
John M Egan, Gerard M Loughnane, Helen Fletcher, Emma Meade, Edmund C Lalor
OBJECTIVE: Brain-computer interfaces (BCI) use measures of brain activity to convey a user's intent without the need for muscle movement. Hybrid designs, which use multiple measures of brain activity, have been shown to increase the accuracy of BCIs, including those based on EEG signals reflecting covert attention. Our study examined whether incorporating a measure of the P3 response improved the performance of a previously reported attention-based BCI design that incorporates measures of steady-state visual evoked potentials (SSVEP) and alpha band modulations...
May 17, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28504971/robust-tactile-sensory-responses-in-finger-area-of-primate-motor-cortex-relevant-to-prosthetic-control
#4
Karen E Schroeder, Zachary Irwin, Autumn Bullard, David Thompson, Nicole Bentley, William Stacey, Parag Patil, Cynthia Chestek
OBJECTIVE:  Challenges in improving the performance of dexterous upper-limb brain-machine interfaces (BMIs) have prompted renewed interest in quantifying the amount and type of sensory information naturally encoded in primary motor cortex (M1). Previous single unit studies in monkeys showed M1 is responsive to tactile stimulation, as well as passive and active movement of the limbs. However, recent work in this area has focused primarily on proprioception. Here we examined instead how tactile somatosensation of the hand and fingers is represented in M1...
May 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28504643/exploiting-neurovascular-coupling-a-bayesian-sequential-monte-carlo-approach-applied-to-simulated-eeg-fnirs-data
#5
Pierpaolo Croce, Filippo Zappasodi, Arcangelo Merla, Antonio Chiarelli
OBJECTIVE: Electrical and hemodynamic brain activity are linked through the neurovascular coupling process and they can be simultaneously measured through integration of Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS). Thanks to the lack of electro-optical interference, the two procedures can be easily combined and, whereas EEG provides electrophysiological information, fNIRS can provide measurements of two hemodynamic variables, such as oxygenated and deoxygenated hemoglobin...
May 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28497771/an-isometric-muscle-force-estimation-framework-based-on-a-high-density-surface-emg-array-and-an-nmf-algorithm
#6
Chengjun Huang, Xiang Chen, Shuai Cao, Bensheng Qiu, Xu Zhang
OBJECTIVE: To realize accurate muscle force estimation, a novel framework is proposed in this paper which can extract the input of the prediction model from the appropriate activation area of the skeletal muscle. APPROACH: Surface electromyographic (sEMG) signals from the biceps brachii muscle during isometric elbow flexion were collected with a high-density (HD) electrode grid (128 channels) and the external force at three contraction levels was measured at the wrist synchronously...
May 12, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28497769/automated-eeg-artifact-elimination-by-applying-machine-learning-algorithms-to-ica-based-features
#7
Thea Radüntz, Jon Scouten, Olaf Hochmuth, Beate Meffert
OBJECTIVE: Biological and non-biological artifacts cause severe problems when dealing with electroencephalogram (EEG) recordings. Independent component analysis (ICA) is a widely used method for eliminating various artifacts from recordings. However, evaluating and classifying the calculated independent components (IC) as artifact or EEG is not fully automated at present. APPROACH: In this study, we propose a new approach for automated artifact elimination, which applies machine learning algorithms to ICA-based features...
May 12, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28489020/correspondence-between-visual-and-electrical-input-filters-of-on-and-off-mouse-retinal-ganglion-cells
#8
Sudarshan Sekhar, Archana Jalligampala, Eberhart Zrenner, Daniel L Rathbun
OBJECTIVE: Over the past two decades retinal prostheses have made major strides in restoring functional vision to patients blinded by diseases such as retinitis pigmentosa. Presently, implants use single pulses to activate the retina. Though this stimulation paradigm has proved beneficial to patients, an unresolved problem is the inability to selectively stimulate the ON and OFF visual pathways. To this end our goal was to test, using white noise, voltage-controlled, cathodic, monophasic pulse stimulation, whether different retinal ganglion cell (RGC) types in the wild type retina have different electrical input filters...
May 10, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28474599/multi-feature-classifiers-for-burst-detection-in-single-eeg-channels-from-preterm-infants
#9
Xavier Navarro, Fabienne Poree, Mathieu Kuchenbuch, Mario Chavez, Alain Beuchée, Guy Carrault
<i>Objective</i>: The study of electroencephalographic (EEG) bursts in preterm infants provides valuable information about maturation or prognostication after perinatal asphyxia. Over the last two decades, a number of works proposed algorithms to automatically detect EEG bursts in preterm infants, but they were designed for populations under 35 weeks of post menstrual age (PMA). However, as the brain activity evolves rapidly during postnatal life, these solutions might be under-performing with increasing PMA...
May 5, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28470152/histological-evaluation-of-flexible-neural-implants-flexibility-limit-for-reducing-the-tissue-response
#10
Heui Chang Lee, Fredrik Ejserholm, Janak Gaire, Seth Currlin, Jens Schouenborg, Lars Wallman, Martin Bengtsson, Kinam Park, Kevin J Otto
OBJECTIVE: Flexible neural probes are hypothesized to reduce the chronic foreign body response (FBR) mainly by reducing the strain-stress caused by an interplay between the tethered probe and the brain's micromotion. However, a large discrepancy of Young's modulus still exists (3-6 orders of magnitude) between the flexible probes and the brain tissue. This raises the question of whether we need to bridge this gap; would increasing the probe flexibility proportionally reduce the FBR? APPROACH: Using novel off-stoichiometry thiol-enes-epoxy (OSTE+) polymer probes developed in our previous work, we quantitatively evaluated the FBR to four types of probes with different softness: silicon (~150 GPa), polyimide (1...
May 4, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28467325/classification-of-different-reaching-movements-from-the-same-limb-using-eeg
#11
Farid Shiman, Eduardo López-Larraz, Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Martin Spueler, Niels Birbaumer, Ander Ramos-Murguialday
OBJECTIVE: Brain-Computer-Interfaces (BCIs) have been proposed not only as assistive technologies but also as rehabilitation tools for lost functions. However, due to the stochastic nature, poor spatial resolution and signal to noise ratio from electroencephalography (EEG), multidimensional decoding has been the main obstacle to implement non-invasive BCIs in real-live rehabilitation scenarios. This study explores the classification of several functional reaching movements from the same limb using EEG oscillations in order to create a more versatile BCI for rehabilitation...
May 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28467317/deep-learning-based-artificial-vision-for-grasp-classification-in-myoelectric-hands
#12
Ghazal Ghazaei, Ali Alameer, Patrick Degenaar, Graham Morgan, Kianoush Nazarpour
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand. APPROACH: We developed a deep learning-based artificial vision system to augment the grasp functionality of a commercial prosthesis...
May 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28466825/pure-visual-imagery-as-a-potential-approach-to-achieve-three-classes-of-control-for-implementation-of-bci-in-non-motor-disorders
#13
Teresa Sousa, Carlos Amaral, João Andrade, Gabriel Pires, Urbano Nunes, Miguel Castelo-Branco
OBJECTIVE: The achievement of multiple instances of control with the same type of mental strategy represents a way to improve flexibility of BCI systems. Here we test the hypothesis that pure visual motion imagery of an external actuator can be used as a tool to achieve three classes of EEG based control, which might be useful in attention disorders. APPROACH: We hypothesize that different number of imagined motion alternations lead to distinctive signals, as predicted by distinct motion patterns...
May 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28462911/functional-modelling-of-interaural-time-difference-discrimination-in-acoustical-and-electrical-hearing
#14
Andreas Prokopiou, Arturo Torres, Jan Wouters, Tom Francart
Objective Interaural time differences (ITDs) are important for sound source localisation. We present a model to predict the just noticeable differences (JNDs) in ITD discrimination for normal hearing and electric stimulation through a cochlear implant. Approach We combined periphery models of acoustic and electric stimulation with a novel JND in ITD estimation stage, which consists of a shuffled cross correlogram and a binary classifier characterisation method. Furthermore, an evaluation framework is presented which is based on a large behavioural dataset...
May 2, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28452331/design-and-manufacturing-challenges-of-optogenetic-neural-interfaces-a-review
#15
Beatriz Goncalves, J F Ribeiro, A Ferreira da Silva, Rui Costa, José Higino Correia
Optogenetics is a relatively new technology to achieve cell-type specific neuromodulation with millisecond-scale temporal precision. Optogenetic tools are being developed to address neuroscience challenges, and to improve the knowledge about brain networks, with the ultimate aim of catalyzing new treatments for brain disorders and diseases. To reach this ambitious goal the implementation of mature and reliable engineered tools is required. The success of optogenetics relies on optical tools that can deliver light into the neural tissue...
April 28, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28424430/exploring-non-stationarity-patterns-in-schizophrenia-neural-reorganization-abnormalities-in-the-alpha-band
#16
Pablo Núñez, Jesus Poza, Alejandro Bachiller, Javier Gomez-Pilar, Alba Lubeiro, Vicente Molina, Roberto Hornero
OBJECTIVE: The aim of this paper was to characterize brain non-stationarity during an auditory oddball task in schizophrenia (SCH). The level of non-stationarity was measured in the baseline and response windows of relevant tones in SCH patients and healthy controls. APPROACH: Event-related potentials were recorded from 28 SCH patients and 51 controls. Non-stationarity was estimated in the conventional electroencephalography frequency bands by means of Kullback-Leibler divergence (KLD)...
April 20, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28397708/effective-brain-network-analysis-with-resting-state-eeg-data-a-comparison-between-heroin-abstinent-and-non-addicted-subjects
#17
Bin Hu, Qunxi Dong, Yanrong Hao, Qinglin Zhao, Jian Shen, Fang Zheng
Abstract-Objective. Neuro-electrophysiological tools have been widely used in heroin addiction studies. Previous studies indicated that chronic heroin abuse would result in abnormal functional organization of the brain. While few heroin addiction studies apply the effective connectivity tool to analyze the brain functional system (BFS) alterations induced by heroin abuse. The present study aims to identify the abnormality of resting-state heroin abstinent BFS using source decomposition and effective connectivity tools...
April 11, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28393761/enhancing-clinical-communication-assessments-using-an-audiovisual-bci-for-patients-with-disorders-of-consciousness
#18
Fei Wang, Yanbin He, Jun Qu, Qiuyou Xie, Qing Lin, Xiaoxiao Ni, Yan Chen, Steven Laureys, Ronghao Yu, Yuanqing Li
OBJECTIVE: The JFK Coma Recovery Scale-Revised (JFK CRS-R), a behavioral observation scale, is widely used in the clinical diagnosis/assessment of patients with disorders of consciousness (DOC). However, the JFK CRS-R is associated with a high rate of misdiagnosis (approximately 40%) because DOC patients cannot provide sufficient behavioral responses. A brain-computer interface (BCI) that detects command/intention-specific changes in electroencephalography (EEG) signals without the need for behavioral expression may provide an alternative method...
April 10, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28384124/single-channel-in-ear-eeg-detects-the-focus-of-auditory-attention-to-concurrent-tone-streams-and-mixed-speech
#19
Lorenz Fiedler, Malte Wöstmann, Carina Graversen, Alex Brandmeyer, Thomas Lunner, Jonas Obleser
OBJECTIVE: Conventional, multi-channel scalp electroencephalography (EEG) allows the identification of the attended speaker in concurrent-listening ('cocktail party') scenarios. This implies that EEG might provide valuable information to complement hearing aids with some form of EEG and to install a level of neuro-feedback. APPROACH: To investigate whether a listener's attentional focus can be detected from single-channel hearing-aid-compatible EEG configurations, we recorded EEG from three electrodes inside the ear canal ('in-Ear-EEG') and additionally from 64 electrodes on the scalp...
April 6, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28384122/deciphering-neuronal-population-codes-for-acute-thermal-pain
#20
Zhe Chen, Qiaosheng Zhang, Ai Phuong Sieu Tong, Toby R Manders, Jing Wang
OBJECTIVE: Pain is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage. Current pain research mostly focuses on molecular and synaptic changes at the spinal and peripheral levels. However, a complete understanding of pain mechanisms requires the physiological study of the neocortex. Our goal is to apply a neural decoding approach to read out the onset of acute thermal pain signals, which can be used for brain-machine interface...
April 6, 2017: Journal of Neural Engineering
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