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Brain-Computer interface

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https://www.readbyqxmd.com/read/28541211/cortical-brain-computer-interface-for-closed-loop-deep-brain-stimulation
#1
Jeffrey Herron, Margaret Thompson, Tim Brown, Howard Chizeck, Jeffrey Ojemann, Andrew Ko
Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions-most often affecting the patient's dominant upper extremity-that occur during volitional movement and make it difficult for the patient to perform everyday tasks. Medication may also become ineffective as the disorder progresses. For many patients, deep brain stimulation (DBS) of the thalamus is an effective means of treating this condition when medication fails. In current use, however, clinicians set the patient's stimulator to apply stimulation at all times-whether it is needed or not...
May 18, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541187/enhancement-of-group-perception-via-a-collaborative-brain-computer-interface
#2
Davide Valeriani, Riccardo Poli, Caterina Cinel
OBJECTIVE: We aimed at improving group performance in a challenging visual search task via a hybrid collaborative brain-computer interface (cBCI). METHODS: Ten participants individually undertook a visual search task where a display was presented for 250 ms, and they had to decide whether a target was present or not. Local temporal correlation common spatial pattern (LTCCSP) was used to extract neural features from response- and stimulus-locked EEG epochs. The resulting feature vectors were extended by including response times and features extracted from eye movements...
June 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28539609/manipulation-of-rat-movement-via-nigrostriatal-stimulation-controlled-by-human-visually-evoked-potentials
#3
Bonkon Koo, Chin Su Koh, Hae-Yong Park, Hwan-Gon Lee, Jin Woo Chang, Seungjin Choi, Hyung-Cheul Shin
Here, we report that the development of a brain-to-brain interface (BBI) system that enables a human user to manipulate rat movement without any previous training. In our model, the remotely-guided rats (known as ratbots) successfully navigated a T-maze via contralateral turning behaviour induced by electrical stimulation of the nigrostriatal (NS) pathway by a brain- computer interface (BCI) based on the human controller's steady-state visually evoked potentials (SSVEPs). The system allowed human participants to manipulate rat movement with an average success rate of 82...
May 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28534785/efficient-hardware-implementation-of-real-time-low-power-movement-intention-detector-system-using-fft-and-adaptive-wavelet-transform
#4
Alireza Chamanzar, Mahdi Shabany, Alireza Malekmohammadi, Sara Mohammadinejad
The brain-computer interfacing (BCI), a platform to extract features and classify different motor movement tasks from noisy and highly correlated electroencephalogram signals, is limited mostly by the complex and power-hungry algorithms. Among different techniques recently devised to tackle this issue, real-time onset detection, due to its negligible delay and minimal power overhead, is the most efficient one. Here, we propose a novel algorithm that outperforms the state-of-the-art design by sixfold in terms of speed, without sacrificing the accuracy for a real-time, hand movement intention detection based on the adaptive wavelet transform with only 1 s detection delay and maximum sensitivity of 88% and selectivity of 78% (only 7% loss of sensitivity)...
June 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28529762/enhanced-inter-subject-brain-computer-interface-with-associative-sensorimotor-oscillations
#5
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
#6
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/28526667/patient-centered-decision-support-formative-usability-evaluation-of-integrated-clinical-decision-support-with-a-patient-decision-aid-for-minor-head-injury-in-the-emergency-department
#7
Edward R Melnick, Erik P Hess, George Guo, Maggie Breslin, Kevin Lopez, Anthony J Pavlo, Fuad Abujarad, Seth M Powsner, Lori A Post
BACKGROUND: The Canadian Computed Tomography (CT) Head Rule, a clinical decision rule designed to safely reduce imaging in minor head injury, has been rigorously validated and implemented, and yet expected decreases in CT were unsuccessful. Recent work has identified empathic care as a key component in decreasing CT overuse. Health information technology can hinder the clinician-patient relationship. Patient-centered decision tools to support the clinician-patient relationship are needed to promote evidence-based decisions...
May 19, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28516901/eeg-source-space-analysis-of-the-supervised-factor-analytic-approach-for-the-classification-of-multi-directional-arm-movement
#8
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
#9
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
#10
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
#11
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/28504943/towards-multimodal-human-robot-interaction-to-enhance-active-participation-of-users-in-gait-rehabilitation
#12
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/28499234/magnetic-implants-in-the-tongue-for-assistive-technologies-tests-of-migration-oromotor-function-and-tissue-response-in-miniature-pigs
#13
Alan J Sokoloff, Zhongtao Yang, Saman Sargolzaei, Karen Strait, Andrey Krasnopeyev, Kirk A Easley, Sylvie Mimche, Maysam Ghovanloo
OBJECTIVE: Uncertain biological consequences of titanium-magnet (Ti-mag) tongue implants constrain application of the Tongue Drive System (TDS), a brain-tongue-computer interface for individuals with severe physical impairment. Here we describe oromotor function and tongue tissue response following Ti-Mag implantation and explantation in the miniature pig, an animal model with a tongue similar in size to humans. DESIGN: A 1.8×6.2mm Ti-mag tracer was implanted into the anterior tongue in five Yucatan minipigs...
May 2, 2017: Archives of Oral Biology
https://www.readbyqxmd.com/read/28496406/neural-correlates-of-phrase-rhythm-an-eeg-study-of-bipartite-vs-rondo-sonata-form
#14
Arturo Martínez-Rodrigo, Alicia Fernández-Sotos, José Miguel Latorre, José Moncho-Bogani, Antonio Fernández-Caballero
This paper introduces the neural correlates of phrase rhythm. In short, phrase rhythm is the rhythmic aspect of phrase construction and the relationships between phrases. For the sake of establishing the neural correlates, a musical experiment has been designed to induce music-evoked stimuli related to phrase rhythm. Brain activity is monitored through electroencephalography (EEG) by using a brain-computer interface. The power spectral value of each EEG channel is estimated to obtain how power variance distributes as a function of frequency...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28493386/a-ferroelectric-ceramic-polymer-composite-based-capacitive-electrode-array-for-in-vivo-recordings
#15
Changyong Chen, Miaomiao Xue, Yige Wen, Guang Yao, Yan Cui, Feiyi Liao, Zhuocheng Yan, Long Huang, Saeed Ahmed Khan, Min Gao, Taisong Pan, Hulin Zhang, Wei Jing, Daqing Guo, Sanfeng Zhang, Hailiang Yao, Xiong Zhou, Qiang Li, Yang Xia, Yuan Lin
A new implantable capacitive electrode array for electrocorticography signal recording is developed with ferroelectric ceramic/polymer composite. This ultrathin and electrically safe capacitive electrode array is capable of attaching to the biological tissue conformably. The barium titanate/polyimide (BaTiO3 /PI) nanocomposite with high dielectric constant is successfully synthesized and employed as the ultrathin dielectric layer of the capacitive BaTiO3 /PI electrode array. The performance of the capacitive BaTiO3 /PI electrode array is evaluated by electrical characterization and 3D finite-element modeling...
May 11, 2017: Advanced Healthcare Materials
https://www.readbyqxmd.com/read/28489913/human-perception-of-electrical-stimulation-on-the-surface-of-somatosensory-cortex
#16
Shivayogi V Hiremath, Elizabeth C Tyler-Kabara, Jesse J Wheeler, Daniel W Moran, Robert A Gaunt, Jennifer L Collinger, Stephen T Foldes, Douglas J Weber, Weidong Chen, Michael L Boninger, Wei Wang
Recent advancement in electrocorticography (ECoG)-based brain-computer interface technology has sparked a new interest in providing somatosensory feedback using ECoG electrodes, i.e., cortical surface electrodes. We conducted a 28-day study of cortical surface stimulation in an individual with arm paralysis due to brachial plexus injury to examine the sensation produced by electrical stimulation of the somatosensory cortex. A high-density ECoG grid was implanted over the somatosensory and motor cortices. Stimulation through cortical surface electrodes over the somatosensory cortex successfully elicited arm and hand sensations in our participant with chronic paralysis...
2017: PloS One
https://www.readbyqxmd.com/read/28487725/comparison-of-the-bci-performance-between-the-semitransparent-face-pattern-and-the-traditional-face-pattern
#17
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/28487128/continuous-representations-of-brain-connectivity-using-spatial-point-processes
#18
Daniel Moyer, Boris A Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M Thompson
We present a continuous model for structural brain connectivity based on the Poisson point process. The model treats each streamline curve in a tractography as an observed event in connectome space, here the product space of the gray matter/white matter interfaces. We approximate the model parameter via kernel density estimation. To deal with the heavy computational burden, we develop a fast parameter estimation method by pre-computing associated Legendre products of the data, leveraging properties of the spherical heat kernel...
April 28, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28484488/progress-in-eeg-based-brain-robot-interaction-systems
#19
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/28479916/corrigendum-to-time-shift-correlation-algorithm-for-p300-event-related-potential-brain-computer-interface-implementation
#20
Ju-Chi Liu, Hung-Chyun Chou, Chien-Hsiu Chen, Yi-Tseng Lin, Chung-Hsien Kuo
[This corrects the article DOI: 10.1155/2016/3039454.].
2017: Computational Intelligence and Neuroscience
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