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https://www.readbyqxmd.com/read/28529762/enhanced-inter-subject-brain-computer-interface-with-associative-sensorimotor-oscillations
#1
Simanto Saha, Khawza I Ahmed, Raqibul Mostafa, Ahsan H Khandoker, Leontios Hadjileontiadis
Electroencephalography (EEG) captures electrophysiological signatures of cortical events from the scalp with high-dimensional electrode montages. Usually, excessive sources produce outliers and potentially affect the actual event related sources. Besides, EEG manifests inherent inter-subject variability of the brain dynamics, at the resting state and/or under the performance of task(s), caused probably due to the instantaneous fluctuation of psychophysiological states. A wavelet coherence (WC) analysis for optimally selecting associative inter-subject channels is proposed here and is being used to boost performances of motor imagery (MI)-based inter-subject brain computer interface (BCI)...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529473/complete-locked-in-and-locked-in-patients-command-following-assessment-and-communication-with-vibro-tactile-p300-and-motor-imagery-brain-computer-interface-tools
#2
Christoph Guger, Rossella Spataro, Brendan Z Allison, Alexander Heilinger, Rupert Ortner, Woosang Cho, Vincenzo La Bella
Many patients with locked-in syndrome (LIS) or complete locked-in syndrome (CLIS) also need brain-computer interface (BCI) platforms that do not rely on visual stimuli and are easy to use. We investigate command following and communication functions of mindBEAGLE with 9 LIS, 3 CLIS patients and three healthy controls. This tests were done with vibro-tactile stimulation with 2 or 3 stimulators (VT2 and VT3 mode) and with motor imagery (MI) paradigms. In VT2 the stimulators are fixed on the left and right wrist and the participant has the task to count the stimuli on the target hand in order to elicit a P300 response...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28516901/eeg-source-space-analysis-of-the-supervised-factor-analytic-approach-for-the-classification-of-multi-directional-arm-movement
#3
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/28513478/a-gaze-independent-hybrid-bci-based-on-visual-spatial-attention
#4
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/28512396/a-generic-transferable-eeg-decoder-for-online-detection-of-error-potential-in-target-selection
#5
Saugat Bhattacharyya, Amit Konar, D N Tibarewala, Mitsuhiro Hayashibe
Reliable detection of error from electroencephalography (EEG) signals as feedback while performing a discrete target selection task across sessions and subjects has a huge scope in real-time rehabilitative application of Brain-computer Interfacing (BCI). Error Related Potentials (ErrP) are EEG signals which occur when the participant observes an erroneous feedback from the system. ErrP holds significance in such closed-loop system, as BCI is prone to error and we need an effective method of systematic error detection as feedback for correction...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28512066/use-of-electroencephalography-brain-computer-interface-systems-as-a-rehabilitative-approach-for-upper-limb-function-after-a-stroke-a-systematic-review
#6
REVIEW
Esther Monge-Pereira, Jaime Ibañez-Pereda, Isabel M Alguacil-Diego, Jose I Serrano, María P Spottorno-Rubio, Francisco Molina-Rueda
BACKGROUND: Brain computer interface (BCI) systems have been suggested as a promising tool for neurorehabilitation. However, to date, there is a lack of homogeneous findings. Furthermore, no systematic reviews have analyzed the degree of validation of these interventions for upper limb (UL) motor rehabilitation post-stroke. OBJECTIVES: To compile all available studies that assess an UL intervention based on an electroencephalography (EEG) - BCI system in stroke...
May 13, 2017: PM & R: the Journal of Injury, Function, and Rehabilitation
https://www.readbyqxmd.com/read/28507774/footnotes-to-kraepelin-changes-in-the-classification-of-mood-disorders-with-dsm-5
#7
EDITORIAL
Nicola J Kalk, Allan H Young
SUMMARY: Reliable diagnosis of mood disorders continues to pose a challenge. This is surprising because they have been recognised clinically since classical times. Mood disorders are also common: major depressive disorder affects nearly 300 million people worldwide and bipolar affective disorder nearly 60 million and they are a major cause of disability. Nonetheless, the reliability trials of the updated Diagnostic and Statistical Manual, Fifth Edition (DSM-5) found that the reliability of the diagnosis of major depressive disorder was in the 'questionable' range...
May 2017: BJPsych Open
https://www.readbyqxmd.com/read/28504943/towards-multimodal-human-robot-interaction-to-enhance-active-participation-of-users-in-gait-rehabilitation
#8
Kai Gui, Honghai Liu, Dingguo Zhang
Robotic exoskeletons for physical rehabilitation have been utilized for retraining patients suffering from paraplegia and enhancing motor recovery in recent years. However, users are not voluntarily involved in most systems. This work aims to develop a locomotion trainer with multiple gait patterns, which can be controlled by the active motion intention of users. A multimodal human-robot interaction (HRI) system is established to enhance subject's active participation during gait rehabilitation, which includes cognitive human-robot interaction (cHRI) and physical human-robot interaction (pHRI)...
May 11, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28499296/-implantable-hearing-devices
#9
Matthias Tisch
Combined hearing loss is an essential indication for implantable hearing systems. Depending on the bone conduction threshold, various options are available: Patients with mild sensorineural deafness usually benefit from transcutaneous BCI, while percutaneous BCI systems are recommended also for moderate hearing loss. For combined hearing loss with moderate and high-grade cochlear hearing loss, active middle ear implants are recommended. For patients with incompatibilities or middle ear surgery, implants are a valuable and proven addition to the therapeutic options...
April 2017: Laryngo- Rhino- Otologie
https://www.readbyqxmd.com/read/28494052/association-of-minimal-residual-disease-with-clinical-outcome-in-pediatric-and-adult-acute-lymphoblastic-leukemia-a-meta-analysis
#10
Donald A Berry, Shouhao Zhou, Howard Higley, Lata Mukundan, Shuangshuang Fu, Gregory H Reaman, Brent L Wood, Gary J Kelloff, J Milburn Jessup, Jerald P Radich
Importance: Minimal residual disease (MRD) refers to the presence of disease in cases deemed to be in complete remission by conventional pathologic analysis. Assessing the association of MRD status following induction therapy in patients with acute lymphoblastic leukemia (ALL) with relapse and mortality may improve the efficiency of clinical trials and accelerate drug development. Objective: To quantify the relationships between event-free survival (EFS) and overall survival (OS) with MRD status in pediatric and adult ALL using publications of clinical trials and other databases...
May 11, 2017: JAMA Oncology
https://www.readbyqxmd.com/read/28493960/diagnostic-of-students-misconceptions-using-the-biological-concepts-instrument-bci-a-method-for-conducting-an-educational-needs-assessment
#11
Annie Champagne Queloz, Michael W Klymkowsky, Elsbeth Stern, Ernst Hafen, Katja Köhler
Concept inventories, constructed based on an analysis of students' thinking and their explanations of scientific situations, serve as diagnostics for identifying misconceptions and logical inconsistencies and provide data that can help direct curricular reforms. In the current project, we distributed the Biological Concepts Instrument (BCI) to 17-18-year-old students attending the highest track of the Swiss school system (Gymnasium). Students' performances on many questions related to evolution, genetics, molecular properties and functions were diverse...
2017: PloS One
https://www.readbyqxmd.com/read/28487725/comparison-of-the-bci-performance-between-the-semitransparent-face-pattern-and-the-traditional-face-pattern
#12
Jiao Cheng, Jing Jin, Xingyu Wang
Brain-computer interface (BCI) systems allow users to communicate with the external world by recognizing the brain activity without the assistance of the peripheral motor nervous system. P300-based BCI is one of the most common used BCI systems that can obtain high classification accuracy and information transfer rate (ITR). Face stimuli can result in large event-related potentials and improve the performance of P300-based BCI. However, previous studies on face stimuli focused mainly on the effect of various face types (i...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28484488/progress-in-eeg-based-brain-robot-interaction-systems
#13
REVIEW
Xiaoqian Mao, Mengfan Li, Wei Li, Linwei Niu, Bin Xian, Ming Zeng, Genshe Chen
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the electroencephalogram- (EEG-) based Brain Computer Interface (BCI), to serve as an additional communication channel, for robot control via brainwaves. This technology is promising for elderly or disabled patient assistance with daily life. The key issue of a BRI system is to identify human mental activities, by decoding brainwaves, acquired with an EEG device. Compared with other BCI applications, such as word speller, the development of these applications may be more challenging since control of robot systems via brainwaves must consider surrounding environment feedback in real-time, robot mechanical kinematics, and dynamics, as well as robot control architecture and behavior...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28475062/spelling-with-a-small-mobile-brain-computer-interface-in-a-moving-wheelchair
#14
Qasem Obeidat, Tom Campbell, Jun Kong
Research into Brain-Computer Interfaces (BCIs), which spell words using brain signals, has revealed that a desktop version of such a speller, the edges paradigm, offers several advantages: This edges paradigm outperforms the benchmark row-column paradigm in terms of accuracy, bitrate, and user experience. It has remained unknown whether these advantages prevailed with a new version of the edges paradigm designed for a mobile device. This paper investigated and evaluated in a rolling wheelchair a mobile BCI, which implemented the edges paradigm on small displays with which visual crowding tends to occur...
May 2, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28472337/eeg-datasets-for-motor-imagery-brain-computer-interface
#15
Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon, Sung Chan Jun
BACKGROUND: Most investigators of brain computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked neuronal activity. Motor imagery (MI) based BCI is one of the standard concepts of BCI, in that the user can generate induced activity by imagining motor movements. However, variations in performance over sessions and subjects are too severe to overcome easily; therefore, a basic understanding and investigation of BCI performance variation is necessary to find critical evidence of performance variation...
May 4, 2017: GigaScience
https://www.readbyqxmd.com/read/28467325/classification-of-different-reaching-movements-from-the-same-limb-using-eeg
#16
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/28466825/pure-visual-imagery-as-a-potential-approach-to-achieve-three-classes-of-control-for-implementation-of-bci-in-non-motor-disorders
#17
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/28463626/responses-of-juvenile-black-tailed-prairie-dogs-cynomys-ludovicianus-to-a-commercially-produced-oral-plague-vaccine-delivered-at-two-doses
#18
Elsa M Cárdenas-Canales, Lisa L Wolfe, Daniel W Tripp, Tonie E Rocke, Rachel C Abbott, Michael W Miller
We confirmed safety and immunogenicity of mass-produced vaccine baits carrying an experimental, commercial-source plague vaccine (RCN-F1/V307) expressing Yersinia pestis V and F1 antigens. Forty-five juvenile black-tailed prairie dogs ( Cynomys ludovicianus ) were randomly divided into three treatment groups (n=15 animals/group). Animals in the first group received one standard-dose vaccine bait (5×10(7) plaque-forming units [pfu]; STD). The second group received a lower-dose bait (1×10(7) pfu; LOW). In the third group, five animals received two standard-dose baits and 10 were left untreated but in contact...
May 2, 2017: Journal of Wildlife Diseases
https://www.readbyqxmd.com/read/28463203/eeg-based-user-reaction-time-estimation-using-riemannian-geometry-features
#19
Dongrui Wu, Brent J Lance, Vernon J Lawhern, Stephen Gordon, Tzyy-Ping Jung, Chin-Teng Lin
Riemannian geometry has been successfully used in many brain-computer interface (BCI) classification problems and demonstrated superior performance. In this paper, for the first time, it is applied to BCI regression problems, an important category of BCI applications. More specifically, we propose a new feature extraction approach for EEG-based BCI regression problems: a spatial filter is first used to increase the signal quality of the EEG trials and also to reduce the dimensionality of the covariance matrices, and then Riemannian tangent space features are extracted...
April 28, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28460127/effects-of-combining-a-brief-cognitive-intervention-with-transcranial-direct-current-stimulation-on-pain-tolerance-a-randomized-controlled-pilot-study
#20
Abigail Powers, Alok Madan, Megan Hilbert, Scott T Reeves, Mark George, Michael R Nash, Jeffrey J Borckardt
Objective.:  Cognitive behavioral therapy has been shown to be effective for treating chronic pain, and a growing literature shows the potential analgesic effects of minimally invasive brain stimulation. However, few studies have systematically investigated the potential benefits associated with combining approaches. The goal of this pilot laboratory study was to investigate the combination of a brief cognitive restructuring intervention and transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex in affecting pain tolerance...
April 26, 2017: Pain Medicine: the Official Journal of the American Academy of Pain Medicine
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