Toward closed-loop optimization of deep brain stimulation for Parkinson's disease: concepts and lessons from a computational model.

abstract：OBJECTIVE:To evaluate the benefit of integrating thermal imaging into an artificial vision therapy system, the Argus II retinal prosthesis, in simplifying a complex scene and improving mobility performance in the presence of other persons. APPROACH:Four Argus II retinal implant users were evaluated on two tasks: to lo...

journal_title：Journal of neural engineering

authors： He Y,Sun SY,Roy A,Caspi A,Montezuma SR

更新日期：2020-08-04 00:00:00

abstract：:In this work we address the use of realtime cortical recordings for the generation of coherent, reliable and robust motor activity in spinal-lesioned animals through selective intraspinal microstimulation (ISMS). The spinal cord of adult rats was hemisectioned and groups of multielectrodes were implanted in both the c...

journal_title：Journal of neural engineering

authors： Panetsos F,Sanchez-Jimenez A,Torets C,Largo C,Micera S

更新日期：2011-08-01 00:00:00

abstract：:Growing neurons navigate complex environments, but in vitro systems for studying neuronal growth typically limit the cues to flat surfaces or a single type of cue, thereby limiting the resulting growth. Here we examined the growth of neurons presented with two-dimensional (2D) substrate-bound cues when these cues were...

journal_title：Journal of neural engineering

authors： Kofron CM,Fong VJ,Hoffman-Kim D

更新日期：2009-02-01 00:00:00

abstract：OBJECTIVE:Neural reflexes regulate immune responses and homeostasis. 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 n...

journal_title：Journal of neural engineering

authors： Caravaca AS,Tsaava T,Goldman L,Silverman H,Riggott G,Chavan SS,Bouton C,Tracey KJ,Desimone R,Boyden ES,Sohal HS,Olofsson PS

更新日期：2017-12-01 00:00:00

abstract：OBJECTIVE:Low-intensity transcranial ultrasound stimulation (TUS) is emerging as a non-invasive brain stimulation technique with superior spatial resolution and the ability to reach deep brain areas. Medical image-based computational modeling could be an important tool for individualized TUS dose control and targeting ...

journal_title：Journal of neural engineering

authors： Pasquinelli C,Montanaro H,Lee HJ,Hanson LG,Kim H,Kuster N,Siebner HR,Neufeld E,Thielscher A

更新日期：2020-07-13 00:00:00

abstract：OBJECTIVE:A primary control signal in brain-computer interfaces (BCIs) have been cortical signals related to movement. However, in cases where natural motor function remains, BCI control signals may interfere with other possibly simultaneous activity for useful ongoing movement. We sought to determine if the brain coul...

journal_title：Journal of neural engineering

authors： Bashford L,Wu J,Sarma D,Collins K,Rao RPN,Ojemann JG,Mehring C

更新日期：2018-12-01 00:00:00

abstract：OBJECTIVE:Current mapping of epileptic networks in patients prior to epilepsy surgery utilizes electrode arrays with sparse spatial sampling (∼1.0 cm inter-electrode spacing). Recent research demonstrates that sub-millimeter, cortical-column-scale domains have a role in seizure generation that may be clinically signifi...

journal_title：Journal of neural engineering

authors： Vanleer AC,Blanco JA,Wagenaar JB,Viventi J,Contreras D,Litt B

更新日期：2016-04-01 00:00:00

abstract：OBJECTIVE:Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step,...

journal_title：Journal of neural engineering

authors： Lührs M,Sorger B,Goebel R,Esposito F

更新日期：2017-02-01 00:00:00

abstract：OBJECTIVE:We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applications in neural mapping and neural connectivity estimation. APPROACH:We...

journal_title：Journal of neural engineering

authors： Kafashan M,Ching S

更新日期：2015-12-01 00:00:00

abstract：:Hybrid electro-optical neural stimulation is a novel paradigm combining the advantages of optical and electrical stimulation techniques while reducing their respective limitations. However, in order to fulfill its promise, this technique requires reduced variability and improved reproducibility. Here we used a compara...

journal_title：Journal of neural engineering

authors： Duke AR,Lu H,Jenkins MW,Chiel HJ,Jansen ED

更新日期：2012-06-01 00:00:00

abstract：OBJECTIVE:State of the art brain-computer interface (BCI) research focuses on improving individual components such as the application or the decoder that converts the user's brain activity to control signals. In this study, we investigate the interaction between these components in the P300 speller, a BCI for communica...

journal_title：Journal of neural engineering

authors： Verhoeven T,Buteneers P,Wiersema JR,Dambre J,Kindermans PJ

更新日期：2015-12-01 00:00:00

abstract：OBJECTIVE:High-fidelity vibrokinetic (HFVK) technology is widely used to enhance the immersiveness of audiovisual (AV) entertainment experiences. However, despite evidence that HFVK technology does subjectively enhance AV immersion, the underlying mechanism has not been clarified. Neurophysiological studies could provi...

journal_title：Journal of neural engineering

authors： Boasen J,Giroux F,Duchesneau MO,Sénécal S,Léger PM,Ménard JF

更新日期：2020-09-26 00:00:00

abstract：OBJECTIVE:Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes motor imagery (MI) of leg flexion and extension. APPROACH:We execute...

journal_title：Journal of neural engineering

authors： Liu D,Chen W,Lee K,Chavarriaga R,Bouri M,Pei Z,Del R Millán J

更新日期：2017-10-01 00:00:00

abstract：OBJECTIVE:Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) in patients with Parkinson's disease and dystonia improves motor symptoms and quality of life. Traditionally, pallidal borders have been demarcated by electrophysiological microelectrode recordings (MERs) during DBS surgery. How...

journal_title：Journal of neural engineering

authors： Valsky D,Blackwell KT,Tamir I,Eitan R,Bergman H,Israel Z

更新日期：2020-01-06 00:00:00

abstract：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 recordin...

journal_title：Journal of neural engineering

authors： Sabetian P,Popovic MR,Yoo PB

更新日期：2017-06-01 00:00:00

abstract：:Significant progress has been made in systems that interpret the electrical signals of the brain in order to control an actuator. One version of these systems senses neuronal extracellular action potentials with an array of up to 100 miniature probes inserted into the cortex. The impedance of each probe is high, so en...

journal_title：Journal of neural engineering

authors： Jochum T,Denison T,Wolf P

更新日期：2009-02-01 00:00:00

abstract：:Microscopic aggregation assay and impedance sensing (IS) were used to monitor a change in in vitro neuron-neuron adhesion in response to blocking of cell adhesion molecules. By blocking neuron-neuron adhesion, migration and aggregation of neuronal cells can be inhibited. This leads to better control of spatial arrange...

journal_title：Journal of neural engineering

authors： Wiertz RW,Marani E,Rutten WL

更新日期：2010-10-01 00:00:00

abstract：OBJECTIVE:For intracortical brain-machine interfaces (BMIs), action potential voltage waveforms are often sorted to separate out individual neurons. If these neurons contain independent tuning information, this process could increase BMI performance. However, the sorting of action potentials ('spikes') requires high sa...

journal_title：Journal of neural engineering

authors： Christie BP,Tat DM,Irwin ZT,Gilja V,Nuyujukian P,Foster JD,Ryu SI,Shenoy KV,Thompson DE,Chestek CA

更新日期：2015-02-01 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：:The extraction of distinctly separable features from electroencephalogram (EEG) is one of the main challenges in designing a brain-computer interface (BCI). Existing feature extraction techniques for a BCI are mostly developed based on traditional signal processing techniques assuming that the signal is Gaussian and h...

journal_title：Journal of neural engineering

authors： Shahid S,Prasad G

更新日期：2011-04-01 00:00:00

abstract：OBJECTIVE:Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral ...

journal_title：Journal of neural engineering

authors： Alasfour A,Gabriel P,Jiang X,Shamie I,Melloni L,Thesen T,Dugan P,Friedman D,Doyle W,Devinsky O,Gonda D,Sattar S,Wang S,Halgren E,Gilja V

更新日期：2019-02-01 00:00:00

abstract：OBJECTIVE:The reliable estimation of parameters such as mean or covariance matrix from noisy and high-dimensional observations is a prerequisite for successful application of signal processing and machine learning algorithms in brain-computer interfacing (BCI). This challenging task becomes significantly more difficult...

journal_title：Journal of neural engineering

authors： Samek W,Nakajima S,Kawanabe M,Müller KR

更新日期：2017-12-01 00:00:00

abstract：OBJECTIVE:There has recently been an increasing interest in local field potential (LFP) for brain-machine interface (BMI) applications due to its desirable properties (signal stability and low bandwidth). LFP is typically recorded with respect to a single unipolar reference which is susceptible to common noise. Several...

journal_title：Journal of neural engineering

authors： Ahmadi N,Constandinou T,Bouganis CS

更新日期：2020-11-26 00:00:00

abstract：OBJECTIVE:Electroencephalography (EEG) recorded during transcranial alternating current simulation (tACS) is highly desirable in order to investigate brain dynamics during stimulation, but is corrupted by large amplitude stimulation artefacts. Artefact removal algorithms have been presented previously, but with substan...

journal_title：Journal of neural engineering

authors： Kohli S,Casson AJ

更新日期：2020-01-24 00:00:00

abstract：:Rational selection of electrical stimulus parameters for an electronic retinal prosthesis requires knowledge of the electrophysiological responses of retinal neurons to electrical stimuli. In this study, we examined the effects of cathodal and anodal current pulses on the extracellularly recorded responses of OFF and ...

journal_title：Journal of neural engineering

authors： Jensen RJ,Ziv OR,Rizzo JF

更新日期：2005-03-01 00:00:00

abstract：:The aim of this paper is to use recent advances in the clinical understanding of the temporal evolution of seizure burden in neonates with hypoxic ischemic encephalopathy to improve the performance of automated detection algorithms. Probabilistic weights are designed from temporal locations of neonatal seizure events ...

journal_title：Journal of neural engineering

authors： Temko A,Stevenson N,Marnane W,Boylan G,Lightbody G

更新日期：2012-08-01 00:00:00

abstract：:In this work the application of different machine learning techniques for classification of mental tasks from electroencephalograph (EEG) signals is investigated. The main application for this research is the improvement of brain computer interface (BCI) systems. For this purpose, Bayesian graphical network, neural ne...

journal_title：Journal of neural engineering

authors： Rezaei S,Tavakolian K,Nasrabadi AM,Setarehdan SK

更新日期：2006-06-01 00:00:00

abstract：OBJECTIVE:Despite their increasing use and public health importance, little is known about the consistency and variability of the quantitative features of baseline electroencephalography (EEG) measurements in healthy individuals and populations. This study aims to investigate population consistency of EEG features. AP...

journal_title：Journal of neural engineering

authors： Nahmias DO,Kontson KL,Soltysik DA,Civillico EF

更新日期：2019-11-12 00:00:00

abstract：OBJECTIVE:It is known that multi-site interleaved stimulation generates less muscle fatigue compared to single-site synchronous stimulation. However, in the limited number of studies in which intramuscular electrodes were used, the fatigue reduction associated with interleaved stimulation could not consistently be achi...

journal_title：Journal of neural engineering

authors： Eladly A,Del Valle J,Minguillon J,Mercadal B,Becerra-Fajardo L,Navarro X,Ivorra A

更新日期：2020-08-25 00:00:00

abstract：:Improving cortical prostheses requires the development of recording neural interfaces that are efficient in terms of providing maximal control information with minimal interface complexity. While the typical approaches have targeted neurons in the motor cortex with multiple penetrating shanks, an alternative approach ...

journal_title：Journal of neural engineering

authors： Parikh H,Marzullo TC,Kipke DR

更新日期：2009-04-01 00:00:00