Selective recovery of fascicular activity in peripheral nerves.

abstract：:Brain-computer interfaces (BCIs) can use brain signals from the scalp (EEG), the cortical surface (ECoG), or within the cortex to restore movement control to people who are paralyzed. Like muscle-based skills, BCIs' use requires activity-dependent adaptations in the brain that maintain stable relationships between the...

journal_title：Journal of neural engineering

authors： McFarland DJ,Sarnacki WA,Wolpaw JR

更新日期：2010-06-01 00:00:00

abstract：:Alzheimer's disease (AD) is the most common cause of dementia. Over the last few years, a considerable effort has been devoted to exploring new biomarkers. Nevertheless, a better understanding of brain dynamics is still required to optimize therapeutic strategies. In this regard, the characterization of mild cognitive...

journal_title：Journal of neural engineering

authors： Bruña R,Poza J,Gómez C,García M,Fernández A,Hornero R

更新日期：2012-06-01 00:00:00

abstract：OBJECTIVE:Recording of neural signals from intact peripheral nerves in patients with spinal cord injury or stroke survivors offers the possibility for the development of closed-loop sensorimotor prostheses. Nerve cuffs have been found to provide stable recordings from peripheral nerves for prolonged periods of time. Ho...

journal_title：Journal of neural engineering

authors： Silveira C,Brunton E,Spendiff S,Nazarpour K

更新日期：2018-08-01 00:00:00

abstract：OBJECTIVE: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 ...

journal_title：Journal of neural engineering

authors： Black C,Voigts J,Agrawal U,Ladow M,Santoyo J,Moore C,Jones S

更新日期：2017-06-01 00:00:00

abstract：OBJECTIVE:Many physical models of biological processes including neural systems are characterized by parametric nonlinear dynamical relations between driving inputs, internal states, and measured outputs of the process. Fitting such models using experimental data (data assimilation) is a challenging task since the phys...

journal_title：Journal of neural engineering

authors： Madi MK,Karameh FN

更新日期：2018-08-01 00:00:00

abstract：OBJECTIVE:The past two decades have seen dramatic progress in our ability to model brain signals recorded by electroencephalography, functional near-infrared spectroscopy, etc., and to derive real-time estimates of user cognitive state, response, or intent for a variety of purposes: to restore communication by the seve...

journal_title：Journal of neural engineering

authors： Kothe CA,Makeig S

更新日期：2013-10-01 00:00:00

abstract：OBJECTIVE:Reliable chronic recordings from implanted neural probes remain a significant challenge; current silicon-based and microwire technologies experience a wide range of biotic and abiotic failure modes contributing to loss of signal quality. APPROACH:A multi-prong alternative strategy with potential to overcome ...

journal_title：Journal of neural engineering

authors： Kim BJ,Kuo JT,Hara SA,Lee CD,Yu L,Gutierrez CA,Hoang TQ,Pikov V,Meng E

更新日期：2013-08-01 00:00:00

abstract：: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 v...

journal_title：Journal of neural engineering

authors： Bareket L,Barriga-Rivera A,Zapf MP,Lovell NH,Suaning GJ

更新日期：2017-08-01 00:00:00

abstract：OBJECTIVE:We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training. APPROACH:The CNN was trained...

journal_title：Journal of neural engineering

authors： Ravi A,Beni NH,Manuel J,Jiang N

更新日期：2020-04-08 00:00:00

abstract：OBJECTIVE:Haptic feedback is crucial when we manipulate objects. Information pertaining to an object's stiffness in particular can help facilitate fine motor control. In this study, we seek to determine whether objects of different stiffness levels can be recognized using haptic feedback provided by transcutaneous elec...

journal_title：Journal of neural engineering

authors： Vargas L,Shin H,Huang HH,Zhu Y,Hu X

更新日期：2019-12-05 00:00:00

abstract：OBJECTIVE:Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabili...

journal_title：Journal of neural engineering

authors： Bueno DR,Montano L

更新日期：2017-04-01 00:00:00

abstract：:This paper describes the technological developments underlying the realization of a reliable and reproducible microchip-based stimulator with a large number of stimulus electrodes. A microchip-based stimulator with over 500 electrodes for suprachoroidal transretinal stimulation (STS) is proposed in this paper, and an ...

journal_title：Journal of neural engineering

authors： Ohta J,Tokuda T,Kagawa K,Sugitani S,Taniyama M,Uehara A,Terasawa Y,Nakauchi K,Fujikado T,Tano Y

更新日期：2007-03-01 00:00:00

abstract：OBJECTIVE:Recent advances in neural engineering have restored mobility to people with paralysis, relieved symptoms of movement disorders, reduced chronic pain, restored the sense of hearing, and provided sensory perception to individuals with sensory deficits. APPROACH:This progress was enabled by the team-based, inte...

journal_title：Journal of neural engineering

authors： Ereifej ES,Shell CE,Schofield JS,Charkhkar H,Cuberovic I,Dorval AD,Graczyk EL,Kozai TDY,Otto KJ,Tyler DJ,Welle CG,Widge AS,Zariffa J,Moritz CT,Bourbeau DJ,Marasco PD

更新日期：2019-11-12 00:00:00

abstract：OBJECTIVE:Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectivity and activity. Network control theory is a powerful tool from the physical and engineering sciences that can provide insights r...

journal_title：Journal of neural engineering

authors： Karrer TM,Kim JZ,Stiso J,Kahn AE,Pasqualetti F,Habel U,Bassett DS

更新日期：2020-04-09 00:00:00

abstract：:We consider the problem of desynchronizing a network of synchronized, globally (all-to-all) coupled neurons using an input to a single neuron. This is done by applying the discrete time dynamic programming method to reduced phase models for neural populations. This technique numerically minimizes a certain cost functi...

journal_title：Journal of neural engineering

authors： Nabi A,Moehlis J

更新日期：2011-12-01 00:00:00

abstract：OBJECTIVE:Given the rapid expansion of the field of neural stimulation and the rigorous regulatory approval requirements required before these devices can be applied clinically, it is important that there is clarity around conducting preclinical safety and efficacy studies required for the development of this technolog...

journal_title：Journal of neural engineering

authors： Shepherd RK,Villalobos J,Burns O,Nayagam DAX

更新日期：2018-08-01 00:00:00

abstract：:In this paper, we propose a simple and straightforward algorithm for neural spike sorting. The algorithm is based on the observation that the distribution of a neural signal largely deviates from the uniform distribution and is rather unimodal. The detected spikes to be sorted are first processed with some feature ext...

journal_title：Journal of neural engineering

authors： Tiganj Z,Mboup M

更新日期：2011-12-01 00:00:00

abstract：OBJECTIVE:Intracortical brain-machine interfaces (iBMIs) aim to restore efficient communication and movement ability for paralyzed patients. However, frequent recalibration is required for consistency and reliability, and every recalibration will require relatively large most current sample set. The aim in this study i...

journal_title：Journal of neural engineering

authors： Zhang P,Ma X,Chen L,Zhou J,Wang C,Li W,He J

更新日期：2018-04-01 00:00:00

abstract：OBJECTIVE:The use of natural sounds in auditory Brain-Computer Interfaces (BCI) has been shown to improve classification results and usability. Some auditory BCIs are based on stream segregation, in which the subjects must attend one audio stream and ignore the other(s); these streams include some kind of stimuli to be...

journal_title：Journal of neural engineering

authors： Velasco-Álvarez F,Fernández-Rodríguez Á,Medina-Juliá MT,Ron-Angevin R

更新日期：2021-01-19 00:00:00

abstract：:In models of electrical stimulation of the nervous system, the electric potential is typically calculated using the quasi-static approximation. The quasi-static approximation allows Maxwell's equations to be simplified by ignoring capacitive, inductive and wave propagation contributions to the potential. While this si...

journal_title：Journal of neural engineering

authors： Bossetti CA,Birdno MJ,Grill WM

更新日期：2008-03-01 00:00:00

abstract：OBJECTIVE:Brain-computer interfaces (BCI) are becoming important tools for assistive technology, particularly through the use of motor imagery (MI) for aiding task completion. However, most existing methods of MI classification have been applied in a trial-wise fashion, with window sizes of approximately 2 s or more. A...

journal_title：Journal of neural engineering

authors： Freer D,Yang GZ

更新日期：2020-01-31 00:00:00

abstract：OBJECTIVE:Assessing an infant's brain development remains a challenge for neuroscientists and pediatricians despite great technological advances. As a non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has great advantages in monitoring an infant's brain activity. To explore the dynamic featu...

journal_title：Journal of neural engineering

authors： Liang Z,Minagawa Y,Yang HC,Tian H,Cheng L,Arimitsu T,Takahashi T,Tong Y

更新日期：2018-12-01 00:00:00

abstract：:In this work, we proposed a novel architecture for real-time quantitative characterization of functional brain connectivity networks derived from Electroencephalogram (EEG). It consists of two main parts - calculation of Phase Lag Index (PLI) to form the functional connectivity networks and the extraction of a set of ...

journal_title：Journal of neural engineering

authors： Gutierrez Nuno RA,Chung CHR,Maharatna K

更新日期：2020-12-16 00:00:00

abstract：OBJECTIVE:Bladder dysfunction is a significant and largely unaddressed problem for people living with spinal cord injury. Intermittent catheterization does not provide volitional control of micturition and has numerous side effects. Targeted electrical microstimulation of the spinal cord has been previously explored fo...

journal_title：Journal of neural engineering

authors： Pikov V,McCreery DB,Han M

更新日期：2020-11-12 00:00:00

abstract：:The blood oxygenation level dependent (BOLD) contrast has been commonly used to detect fMRI signal. The majority of the BOLD signals are believed to arise from the venous and capillary networks. However, only those from the capillaries are spatially close to the neuronal activities, while the signals from large veins ...

journal_title：Journal of neural engineering

authors： Song AW,Gangstead SL

更新日期：2004-03-01 00:00:00

abstract：OBJECTIVE:Currently, there are some 95 000 people in Europe suffering from upper-limb impairment. Rehabilitation should be undertaken right after the impairment occurs and should be regularly performed thereafter. Moreover, the rehabilitation process should be tailored specifically to both patient and impairment. APPR...

journal_title：Journal of neural engineering

authors： Nissler C,Nowak M,Connan M,Büttner S,Vogel J,Kossyk I,Márton ZC,Castellini C

更新日期：2019-04-01 00:00:00

abstract：:This comment constitutes a re-assessment of a recent study in which near-infrared spectroscopy (NIRS) was used to decode decision making. In the original study, the process of feature selection was carried out on all of the data, and those features which displayed the greater classification accuracy were selected, but...

journal_title：Journal of neural engineering

authors： Dominguez LG

更新日期：2009-10-01 00:00:00

abstract：OBJECTIVE:Analyzing and interpreting the activity of a heterogeneous population of neurons can be challenging, especially as the number of neurons, experimental trials, and experimental conditions increases. One approach is to extract a set of latent variables that succinctly captures the prominent co-fluctuation patte...

journal_title：Journal of neural engineering

authors： Cowley BR,Kaufman MT,Butler ZS,Churchland MM,Ryu SI,Shenoy KV,Yu BM

更新日期：2013-12-01 00:00:00

abstract：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...

journal_title：Journal of neural engineering

authors： Lissandrello CA,Gillis WF,Shen J,Pearre BW,Vitale F,Pasquali M,Holinski BJ,Chew DJ,White AE,Gardner TJ

更新日期：2017-06-01 00:00:00

abstract：:Electrical stimulation of peripheral nerve activates large-diameter fibers before small ones. A physiological recruitment order, from small to large-diameter axons, is desirable in many applications. Previous studies using computer simulations showed that selective activation of small fibers could be achieved by resha...

journal_title：Journal of neural engineering

authors： Lertmanorat Z,Durand DM

更新日期：2004-12-01 00:00:00