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Journal of Neural Engineering

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https://www.readbyqxmd.com/read/27900953/feedback-control-policies-employed-by-people-using-intracortical-brain-computer-interfaces
#1
Francis R Willett, Chethan Pandarinath, Beata Jarosiewicz, Brian A Murphy, William D Memberg, Christine H Blabe, Jad Saab, Benjamin L Walter, Jennifer A Sweet, Jonathan P Miller, Jaimie M Henderson, Krishna V Shenoy, John D Simeral, Leigh R Hochberg, Robert F Kirsch, A Bolu Ajiboye
OBJECTIVE: When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and correct for movement errors. We call the rules that govern this modulation a 'feedback control policy'. A better understanding of these policies may inform the design of higher-performing neural decoders. APPROACH: We studied how three participants in the BrainGate2 pilot clinical trial used an iBCI to control a cursor in a 2D target acquisition task...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900952/a-novel-deep-learning-approach-for-classification-of-eeg-motor-imagery-signals
#2
Yousef Rezaei Tabar, Ugur Halici
OBJECTIVE: Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types of data. However, the number of studies that employ these approaches on BCI applications is very limited. In this study we aim to use deep learning methods to improve classification performance of EEG motor imagery signals. APPROACH: In this study we investigate convolutional neural networks (CNN) and stacked autoencoders (SAE) to classify EEG Motor Imagery signals...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900950/automated-selection-of-brain-regions-for-real-time-fmri-brain-computer-interfaces
#3
Michael Lührs, Bettina Sorger, Rainer Goebel, Fabrizio Esposito
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, we developed two unsupervised computational techniques based on the general linear model (GLM) and independent component analysis (ICA) of rt-fMRI data, and compared their performances on a communication BCI...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900949/prediction-of-cortical-responses-to-simultaneous-electrical-stimulation-of-the-retina
#4
Kerry J Halupka, Mohit N Shivdasani, Shaun L Cloherty, David B Grayden, Yan T Wong, Anthony N Burkitt, Hamish Meffin
OBJECTIVE: Simultaneous electrical stimulation of multiple electrodes has shown promise in diversifying the responses that can be elicited by retinal prostheses compared to interleaved single electrode stimulation. However, the effects of interactions between electrodes are not well understood and clinical trials with simultaneous stimulation have produced inconsistent results. We investigated the effects of multiple electrode stimulation of the retina by developing a model of cortical responses to retinal stimulation...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900948/prediction-of-antiepileptic-drug-treatment-outcomes-using-machine-learning
#5
Sinisa Colic, Robert G Wither, Min Lang, Liang Zhang, James H Eubanks, Berj L Bardakjian
OBJECTIVE: Antiepileptic drug (AED) treatments produce inconsistent outcomes, often necessitating patients to go through several drug trials until a successful treatment can be found. This study proposes the use of machine learning techniques to predict epilepsy treatment outcomes of commonly used AEDs. APPROACH: Machine learning algorithms were trained and evaluated using features obtained from intracranial electroencephalogram (iEEG) recordings of the epileptiform discharges observed in Mecp2-deficient mouse model of the Rett Syndrome...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900947/continuous-decoding-of-human-grasp-kinematics-using-epidural-and-subdural-signals
#6
Robert D Flint, Joshua M Rosenow, Matthew C Tate, Marc W Slutzky
OBJECTIVE: Restoring or replacing function in paralyzed individuals will one day be achieved through the use of brain-machine interfaces. Regaining hand function is a major goal for paralyzed patients. Two competing prerequisites for the widespread adoption of any hand neuroprosthesis are accurate control over the fine details of movement, and minimized invasiveness. Here, we explore the interplay between these two goals by comparing our ability to decode hand movements with subdural and epidural field potentials (EFPs)...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27651128/cellulose-soy-protein-composite-based-nerve-guidance-conduits-with-designed-microstructure-for-peripheral-nerve-regeneration
#7
Li Gan, Lei Zhao, Yanteng Zhao, Ke Li, Zan Tong, Li Yi, Xiong Wang, Yinping Li, Weiqun Tian, Xiaohua He, Min Zhao, Yan Li, Yun Chen
OBJECTIVE: The objective of this work was to develop nerve guidance conduits from natural polymers, cellulose and soy protein isolate (SPI), by evaluating the effects of cellulose/SPI film-based conduit (CSFC) and cellulose/SPI sponge-based conduit (CSSC) on regeneration of nerve defects in rats. APPROACH: CSFC and CSSC with the same chemical components were fabricated from cellulose and SPI. Effects of CSSC and CSFC on regeneration of the defective nerve were comparatively investigated in rats with a 10 mm long gap in sciatic nerve...
September 21, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27651034/spatial-co-adaptation-of-cortical-control-columns-in-a-micro-ecog-brain-computer-interface
#8
A G Rouse, J J Williams, J J Wheeler, D W Moran
OBJECTIVE: Electrocorticography (ECoG) has been used for a range of applications including electrophysiological mapping, epilepsy monitoring, and more recently as a recording modality for brain-computer interfaces (BCIs). Studies that examine ECoG electrodes designed and implanted chronically solely for BCI applications remain limited. The present study explored how two key factors influence chronic, closed-loop ECoG BCI: (i) the effect of inter-electrode distance on BCI performance and (ii) the differences in neural adaptation and performance when fixed versus adaptive BCI decoding weights are used...
September 21, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27650936/electrical-neurostimulation-with-imbalanced-waveform-mitigates-dissolution-of-platinum-electrodes
#9
Doe Kumsa, Eric M Hudak, Fred W Montague, Shawn C Kelley, Darrel F Untereker, Benjamin P Hahn, Chris Condit, Martin Cholette, Hyowon Lee, Dawn Bardot, Pavel Takmakov
OBJECTIVE: Electrical neurostimulation has traditionally been limited to the use of charge-balanced waveforms. Charge-imbalanced and monophasic waveforms are not used to deliver clinical therapy, because it is believed that these stimulation paradigms may generate noxious electrochemical species that cause tissue damage. APPROACH: In this study, we investigated the dissolution of platinum as one of such irreversible reactions over a range of charge densities up to 160 μC cm(-2) with current-controlled first phase, capacitive discharge second phase waveforms of both cathodic-first and anodic-first polarity...
September 21, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27841163/towards-psychologically-adaptive-brain-computer-interfaces
#10
A Myrden, T Chau
OBJECTIVE: Brain-computer interface (BCI) performance is sensitive to short-term changes in psychological states such as fatigue, frustration, and attention. This paper explores the design of a BCI that can adapt to these short-term changes. APPROACH: Eleven able-bodied individuals participated in a study during which they used a mental task-based EEG-BCI to play a simple maze navigation game while self-reporting their perceived levels of fatigue, frustration, and attention...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27841159/self-regulation-of-brain-rhythms-in-the-precuneus-a-novel-bci-paradigm-for-patients-with-als
#11
Tatiana Fomina, Gabriele Lohmann, Michael Erb, Thomas Ethofer, Bernhard Schölkopf, Moritz Grosse-Wentrup
OBJECTIVE: Electroencephalographic (EEG) brain-computer interfaces (BCIs) hold promise in restoring communication for patients with completely locked-in stage amyotrophic lateral sclerosis (ALS). However, these patients cannot use existing EEG-based BCIs, arguably because such systems rely on brain processes that are impaired in the late stages of ALS. In this work, we introduce a novel BCI designed for patients in late stages of ALS based on high-level cognitive processes that are less likely to be affected by ALS...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27819256/long-term-stability-of-intracortical-recordings-using-perforated-and-arrayed-parylene-sheath-electrodes
#12
Seth A Hara, Brian J Kim, Jonathan T W Kuo, Curtis D Lee, Ellis Meng, Victor Pikov
OBJECTIVE: Acquisition of reliable and robust neural recordings with intracortical neural probes is a persistent challenge in the field of neuroprosthetics. We developed a multielectrode array technology to address chronic intracortical recording reliability and present in vivo recording results. APPROACH: The 2 × 2 Parylene sheath electrode array (PSEA) was microfabricated and constructed from only Parylene C and platinum. The probe includes a novel three-dimensional sheath structure, perforations, and bioactive coatings that improve tissue integration and manage immune response...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27819255/an-adaptive-and-generalizable-closed-loop-system-for-control-of-medically-induced-coma-and-other-states-of-anesthesia
#13
Yuxiao Yang, Maryam M Shanechi
OBJECTIVE: Design of closed-loop anesthetic delivery (CLAD) systems is an important topic, particularly for medically induced coma, which needs to be maintained for long periods. Current CLADs for medically induced coma require a separate offline experiment for model parameter estimation, which causes interruption in treatment and is difficult to perform. Also, CLADs may exhibit bias due to inherent time-variation and non-stationarity, and may have large infusion rate variations at steady state...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27819250/applying-dynamic-data-collection-to-improve-dry-electrode-system-performance-for-a-p300-based-brain-computer-interface
#14
J M Clements, E W Sellers, D B Ryan, K Caves, L M Collins, C S Throckmorton
OBJECTIVE: Dry electrodes have an advantage over gel-based 'wet' electrodes by providing quicker set-up time for electroencephalography recording; however, the potentially poorer contact can result in noisier recordings. We examine the impact that this may have on brain-computer interface communication and potential approaches for mitigation. APPROACH: We present a performance comparison of wet and dry electrodes for use with the P300 speller system in both healthy participants and participants with communication disabilities (ALS and PLS), and investigate the potential for a data-driven dynamic data collection algorithm to compensate for the lower signal-to-noise ratio (SNR) in dry systems...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27788128/reduction-hybrid-artifacts-of-emg-eog-in-electroencephalography-evoked-by-prefrontal-transcranial-magnetic-stimulation
#15
Yang Bai, Xiaohong Wan, Ke Zeng, Yinmei Ni, Lirong Qiu, Xiaoli Li
OBJECTIVE: When prefrontal-transcranial magnetic stimulation (p-TMS) performed, it may evoke hybrid artifact mixed with muscle activity and blink activity in EEG recordings. Reducing this kind of hybrid artifact challenges the traditional preprocessing methods. We aim to explore method for the p-TMS evoked hybrid artifact removal. APPROACH: We propose a novel method used as independent component analysis (ICA) post processing to reduce the p-TMS evoked hybrid artifact...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27788127/eeg-fmri-bayesian-framework-for-neural-activity-estimation-a-simulation-study
#16
Pierpaolo Croce, Alessio Basti, Laura Marzetti, Filippo Zappasodi, Cosimo Del Gratta
OBJECTIVE: Due to the complementary nature of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), and given the possibility of simultaneous acquisition, the joint data analysis can afford a better understanding of the underlying neural activity estimation. In this simulation study we want to show the benefit of the joint EEG-fMRI neural activity estimation in a Bayesian framework. APPROACH: We built a dynamic Bayesian framework in order to perform joint EEG-fMRI neural activity time course estimation...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27788124/a-hybrid-three-class-brain-computer-interface-system-utilizing-ssseps-and-transient-erps
#17
Christian Breitwieser, Christoph Pokorny, Gernot R Müller-Putz
OBJECTIVE: This paper investigates the fusion of steady-state somatosensory evoked potentials (SSSEPs) and transient event-related potentials (tERPs), evoked through tactile simulation on the left and right-hand fingertips, in a three-class EEG based hybrid brain-computer interface. It was hypothesized, that fusing the input signals leads to higher classification rates than classifying tERP and SSSEP individually. APPROACH: Fourteen subjects participated in the studies, consisting of a screening paradigm to determine person dependent resonance-like frequencies and a subsequent online paradigm...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27762239/a-pipeline-of-spatio-temporal-filtering-for-predicting-the-laterality-of-self-initiated-fine-movements-from-single-trial-readiness-potentials
#18
Elias Abou Zeid, Alborz Rezazadeh Sereshkeh, Tom Chau
OBJECTIVE: In recent years, the readiness potential (RP), a type of pre-movement neural activity, has been investigated for asynchronous electroencephalogram (EEG)-based brain-computer interfaces (BCIs). Since the RP is attenuated for involuntary movements, a BCI driven by RP alone could facilitate intentional control amid a plethora of unintentional movements. Previous studies have attempted single trial classification of RP via spatial and temporal filtering methods, or by combining the RP with event-related desynchronization...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27762238/optozif-drive-a-3d-printed-implant-and-assembly-tool-package-for-neural-recording-and-optical-stimulation-in-freely-moving-mice
#19
David S Freedman, Joseph B Schroeder, Gregory I Telian, Zhengyang Zhang, Smrithi Sunil, Jason T Ritt
OBJECTIVE: Behavioral neuroscience studies in freely moving rodents require small, light-weight implants to facilitate neural recording and stimulation. Our goal was to develop an integrated package of 3D printed parts and assembly aids for labs to rapidly fabricate, with minimal training, an implant that combines individually positionable microelectrodes, an optical fiber, zero insertion force (ZIF-clip) headstage connection, and secondary recording electrodes, e.g. for electromyography (EMG)...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27762237/clinical-applications-of-penetrating-neural-interfaces-and-utah-electrode-array-technologies
#20
Richard A Normann, Eduardo Fernandez
This paper briefly describes some of the recent progress in the development of penetrating microelectrode arrays and highlights the use of two of these devices, Utah electrode arrays and Utah slanted electrode arrays, in two therapeutic interventions: recording volitional skeletal motor commands from the central nervous system, and recording motor commands and evoking somatosensory percepts in the peripheral nervous system (PNS). The paper also briefly explores other potential sites for microelectrode array interventions that could be profitably pursued and that could have important consequences in enhancing the quality of life of patients that has been compromised by disorders of the central and PNSs...
December 2016: Journal of Neural Engineering
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