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https://www.readbyqxmd.com/read/29451067/combined-detection-of-umcp-1-and-utweak-for-rapid-discrimination-of-severe-lupus-nephritis
#1
X W Dong, Z H Zheng, J Ding, X Luo, Z Q Li, Y Li, M Y Rong, Y L Fu, J H Shi, L C Yu, Z B Wu, P Zhu
Reliable markers for the rapid discrimination of severe renal damage remain a vital concern for lupus nephritis (LN). To determine a better tool for kidney damage detection, the present study compared the evaluation ability of novel urinary cytokines and chemokines (namely urinary monocyte chemoattractant protein 1 (uMCP-1), tumor necrosis factor-like weak inducer of apoptosis (uTWEAK)) with traditional serum or urinary markers (namely urinary alpha 1-microgrobulin (uα1-MG), beta 2-microglobulin (uβ2-MG) and serum complement C3 (C3), complement C4 (C4), creatinine (Cr), blood urea nitrogen (BUN) and cystatin C (Cys C)) in discriminating LN renal damage...
January 1, 2018: Lupus
https://www.readbyqxmd.com/read/29450494/comparison-of-the-performance-of-6-prognostic-signatures-for-estrogen-receptor-positive-breast-cancer-a-secondary-analysis-of-a-randomized-clinical-trial
#2
Ivana Sestak, Richard Buus, Jack Cuzick, Peter Dubsky, Ralf Kronenwett, Carsten Denkert, Sean Ferree, Dennis Sgroi, Catherine Schnabel, Frederick L Baehner, Elizabeth Mallon, Mitch Dowsett
Importance: Multiple molecular signatures are available for managing estrogen receptor (ER)-positive breast cancer but with little direct comparative information to guide the patient's choice. Objective: To conduct a within-patient comparison of the prognostic value of 6 multigene signatures in women with early ER-positive breast cancer who received endocrine therapy for 5 years. Design, Setting, and Participants: This retrospective biomarker analysis included 774 postmenopausal women with ER-positive ERBB2 (formerly HER2)-negative breast cancer...
February 15, 2018: JAMA Oncology
https://www.readbyqxmd.com/read/29450381/insights-in-the-treatment-of-congenital-nasolacrimal-duct-obstruction
#3
REVIEW
Elena Avram
Introduction: Congenital nasolacrimal duct obstruction is one of the most common causes of epiphora in newborns and the main cause of this condition is the persistence of Hasner membrane. Several treatment options are available, like conservative treatment, probing, irrigation, or more complex techniques. Objective: The objective of this paper is to discuss the efficiency of different treatment options addressing congenital nasolacrimal duct obstruction based on trials reported in literature. Methods: Clinical trials were identified on PubMed...
April 2017: Romanian Journal of Ophthalmology
https://www.readbyqxmd.com/read/29449799/markov-switching-model-for-quick-detection-of-event-related-desynchronization-in-eeg
#4
Giuseppe Lisi, Diletta Rivela, Asuka Takai, Jun Morimoto
Quick detection of motor intentions is critical in order to minimize the time required to activate a neuroprosthesis. We propose a Markov Switching Model (MSM) to achieve quick detection of an event related desynchronization (ERD) elicited by motor imagery (MI) and recorded by electroencephalography (EEG). Conventional brain computer interfaces (BCI) rely on sliding window classifiers in order to perform online continuous classification of the rest vs. MI classes. Based on this approach, the detection of abrupt changes in the sensorimotor power suffers from an intrinsic delay caused by the necessity of computing an estimate of variance across several tenths of a second...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29448856/study-of-target-and-non-target-interplay-in-spatial-attention-task
#5
Sweeti, Deepak Joshi, B K Panigrahi, Sneh Anand, Jayasree Santhosh
Selective visual attention is the ability to selectively pay attention to the targets while inhibiting the distractors. This paper aims to study the targets and non-targets interplay in spatial attention task while subject attends to the target object present in one visual hemifield and ignores the distractor present in another visual hemifield. This paper performs the averaged evoked response potential (ERP) analysis and time-frequency analysis. ERP analysis agrees to the left hemisphere superiority over late potentials for the targets present in right visual hemifield...
February 15, 2018: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29446352/deep-learning-for-hybrid-eeg-fnirs-brain-computer-interface-application-to-motor-imagery-classification
#6
Antonio Maria Chiarelli, Pierpaolo Croce, Arcangelo Merla, Filippo Zappasodi
OBJECTIVE: Brain-Computer Interface (BCI) refers to procedures that
 link the central nervous system to a device. BCI was historically performed using
 Electroencephalography (EEG). In the last years, encouraging results were obtained
 by combining EEG with other neuroimaging technologies, such as functional Near
 Infrared Spectroscopy (fNIRS). A crucial step of BCI is brain state classication
 from recorded signal features. Deep Articial Neural Networks (DNNs) recently
 reached unprecedented complex classication outcomes...
February 15, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29444893/dusp6-attenuates-ras-mapk-signaling-to-limit-zebrafish-heart-regeneration
#7
Maria A Missinato, Manush Saydmohammed, Daniel A Zuppo, Krithika S Rao, Graham W Opie, Bernhard Kühn, Michael Tsang
Zebrafish regenerate cardiac tissue through proliferation of pre-existing cardiomyocytes and neovascularization. Secreted growth factors such as FGFs, IGF, PDGFs, and Neuregulin (Nrg) play essential roles in stimulating cardiomyocyte proliferation. These factors activate the Ras/MAPK pathway, which is finely controlled by the feedback attenuator Dual Specificity Phosphatase 6 (Dusp6), an ERK phosphatase. Here we show that suppressing Dusp6 function enhanced cardiac regeneration. Inactivation of Dusp6 by small molecules or by gene inactivation increased cardiomyocyte proliferation, coronary angiogenesis, and reduced fibrosis after ventricular resection...
February 14, 2018: Development
https://www.readbyqxmd.com/read/29442072/cortical-excitability-correlates-with-the-event-related-desynchronization-during-brain-computer-interface-control
#8
Ian Daly, Caroline Blanchard, Nicholas P Holmes
OBJECTIVE: Brain-computer interfaces (BCIs) based on motor control have been suggested as tools for stroke rehabilitation. Some initial successes have been achieved with this approach, however the mechanism by which they work is not yet fully understood. One possible part of this mechanism is a, previously suggested, relationship between the strength of the event-related desynchronization (ERD), a neural correlate of motor imagination and execution, and corticospinal excitability. Additionally, a key component of BCIs used in neurorehabilitation is the provision of visual feedback to positively reinforce attempts at motor control...
February 14, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29435089/usage-of-drip-drops-as-stimuli-in-an-auditory-p300-bci-paradigm
#9
Minqiang Huang, Jing Jin, Yu Zhang, Dewen Hu, Xingyu Wang
Recently, many auditory BCIs are using beeps as auditory stimuli, while beeps sound unnatural and unpleasant for some people. It is proved that natural sounds make people feel comfortable, decrease fatigue, and improve the performance of auditory BCI systems. Drip drop is a kind of natural sounds that makes humans feel relaxed and comfortable. In this work, three kinds of drip drops were used as stimuli in an auditory-based BCI system to improve the user-friendness of the system. This study explored whether drip drops could be used as stimuli in the auditory BCI system...
February 2018: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29432199/effect-of-a-combination-of-flip-and-zooming-stimuli-on-the-performance-of-a-visual-brain-computer-interface-for-spelling
#10
Jiao Cheng, Jing Jin, Ian Daly, Yu Zhang, Bei Wang, Xingyu Wang, Andrzej Cichocki
Brain-computer interface (BCI) systems can allow their users to communicate with the external world by recognizing intention directly from their brain activity without the assistance of the peripheral motor nervous system. The P300-speller is one of the most widely used visual BCI applications. In previous studies, a flip stimulus (rotating the background area of the character) that was based on apparent motion, suffered from less refractory effects. However, its performance was not improved significantly. In addition, a presentation paradigm that used a "zooming" action (changing the size of the symbol) has been shown to evoke relatively higher P300 amplitudes and obtain a better BCI performance...
February 13, 2018: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/29432111/toward-drowsiness-detection-using-non-hair-bearing-eeg-based-brain-computer-interfaces
#11
Chun-Shu Wei, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung
Drowsy driving is one of the major causes that lead to fatal accidents worldwide. For the past two decades, many studies have explored the feasibility and practicality of drowsiness detection using electroencephalogram (EEG)-based brain-computer interface (BCI) systems. However, on the pathway of transitioning laboratory-oriented BCI into real-world environments, one chief challenge is to obtain high-quality EEG with convenience and long-term wearing comfort. Recently, acquiring EEG from non-hair-bearing (NHB) scalp areas has been proposed as an alternative solution to avoid many of the technical limitations resulted from the interference of hair between electrodes and the skin...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/29432108/evidence-of-variabilities-in-eeg-dynamics-during-motor-imagery-based-multiclass-brain-computer-interface
#12
Simanto Saha, Khawza Iftekhar Uddin Ahmed, Raqibul Mostafa, Leontios Hadjileontiadis, Ahsan Khandoker
Inter-subject and inter-session variabilities pose a significant challenge in electroencephalogram (EEG)-based brain-computer interface (BCI) systems. Furthermore, high dimensional EEG montages introduce huge computational burden due to excessive number of channels involved. Two experimental, i.e., inter-session and inter-subject, variabilities of EEG dynamics during motor imagery (MI) tasks are investigated in this paper. In particular, the effect on the performance of the BCIs due to day-to-day variability in EEG dynamics during the alterations in cognitive stages is explored...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/29422841/detecting-pilot-s-engagement-using-fnirs-connectivity-features-in-an-automated-vs-manual-landing-scenario
#13
Kevin J Verdière, Raphaëlle N Roy, Frédéric Dehais
Monitoring pilot's mental states is a relevant approach to mitigate human error and enhance human machine interaction. A promising brain imaging technique to perform such a continuous measure of human mental state under ecological settings is Functional Near-InfraRed Spectroscopy (fNIRS). However, to our knowledge no study has yet assessed the potential of fNIRS connectivity metrics as long as passive Brain Computer Interfaces (BCI) are concerned. Therefore, we designed an experimental scenario in a realistic simulator in which 12 pilots had to perform landings under two contrasted levels of engagement (manual vs...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29409449/enhancing-delivery-of-osteoarthritis-care-in-the-general-practice-consultation-evaluation-of-a-behaviour-change-intervention
#14
Mark Porcheret, Chris Main, Peter Croft, Krysia Dziedzic
BACKGROUND: Professionally-focussed behaviour change intervention (BCI) workshops were utilised in the Management of OsteoArthritis in Consultations (MOSAICS) trial investigating the feasibility of implementing the National Institute for Health and Care Excellence (NICE) Osteoarthritis (OA) Guideline in general practice. The workshops aimed to implement the general practitioner (GP) component of the trial intervention: an enhanced consultation for patients presenting with possible OA...
February 6, 2018: BMC Family Practice
https://www.readbyqxmd.com/read/29402310/fnirs-based-neurorobotic-interface-for-gait-rehabilitation
#15
Rayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, Farzan Majeed Noori, Hammad Nazeer, Muhammad Umer Khan
BACKGROUND: In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-computer interface (BCI) framework for control of prosthetic legs and rehabilitation of patients suffering from locomotive disorders is presented. METHODS: fNIRS signals are used to initiate and stop the gait cycle, while a nonlinear proportional derivative computed torque controller (PD-CTC) with gravity compensation is used to control the torques of hip and knee joints for minimization of position error...
February 5, 2018: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/29387781/ptsd-related-behavioral-traits-in-a-rat-model-of-blast-induced-mtbi-are-reversed-by-the-mglur2-3-receptor-antagonist-bci-838
#16
Georgina Perez-Garcia, Rita De Gasperi, Miguel A Gama Sosa, Gissel M Perez, Alena Otero-Pagan, Anna Tschiffely, Richard M McCarron, Stephen T Ahlers, Gregory A Elder, Sam Gandy
Battlefield blast exposure related to improvised explosive devices (IEDs) has become the most common cause of traumatic brain injury (TBI) in the recent conflicts in Iraq and Afghanistan. Mental health problems are common after TBI. A striking feature in the most recent veterans has been the frequency with which mild TBI (mTBI) and posttraumatic stress disorder (PTSD) have appeared together, in contrast to the classical situations in which the presence of mTBI has excluded the diagnosis of PTSD. However, treatment of PTSD-related symptoms that follow blast injury has become a significant problem...
January 2018: ENeuro
https://www.readbyqxmd.com/read/29385839/examining-sensory-ability-feature-matching-and-assessment-based-adaptation-for-a-brain-computer-interface-using-the-steady-state-visually-evoked-potential
#17
Jonathan S Brumberg, Anh Nguyen, Kevin M Pitt, Sean D Lorenz
PURPOSE: We investigated how overt visual attention and oculomotor control influence successful use of a visual feedback brain-computer interface (BCI) for accessing augmentative and alternative communication (AAC) devices in a heterogeneous population of individuals with profound neuromotor impairments. BCIs are often tested within a single patient population limiting generalization of results. This study focuses on examining individual sensory abilities with an eye toward possible interface adaptations to improve device performance...
January 31, 2018: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/29379140/operation-of-a-p300-based-brain-computer-interface-in-patients-with-duchenne-muscular-dystrophy
#18
Kota Utsumi, Kouji Takano, Yoji Okahara, Tetsuo Komori, Osamu Onodera, Kenji Kansaku
A brain-computer interface (BCI) or brain-machine interface is a technology that enables the control of a computer and other external devices using signals from the brain. This technology has been tested in paralysed patients, such as those with cervical spinal cord injuries or amyotrophic lateral sclerosis, but it has not been tested systematically in Duchenne muscular dystrophy (DMD), which is a severe type of muscular dystrophy due to the loss of dystrophin and is often accompanied by progressive muscle weakness and wasting...
January 29, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29378317/decoding-the-auditory-brain-with-canonical-component-analysis
#19
Alain de Cheveigné, Daniel Wong, Giovanni M Di Liberto, Jens Hjortkjaer, Malcolm Slaney, Edmund Lalor
The relation between a stimulus and the evoked brain response can shed light on perceptual processes within the brain. Signals derived from this relation can also be harnessed to control external devices for Brain Computer Interface (BCI) applications. While the classic event-related potential (ERP) is appropriate for isolated stimuli, more sophisticated "decoding" strategies are needed to address continuous stimuli such as speech, music or environmental sounds. Here we describe an approach based on Canonical Correlation Analysis (CCA) that finds the optimal transform to apply to both the stimulus and the response to reveal correlations between the two...
January 26, 2018: NeuroImage
https://www.readbyqxmd.com/read/29364119/consistency-of-long-term-subdural-electrocorticography-in-humans
#20
Ewan S Nurse, Sam E John, Dean R Freestone, Thomas J Oxley, Hoameng Ung, Samuel F Berkovic, Terence J O'Brien, Mark J Cook, David B Grayden
OBJECTIVE: Subdural electrocorticography (ECoG) can provide a robust control signal for a brain-computer interface (BCI). However, the long-term recording properties of ECoG are poorly understood as most ECoG studies in the BCI field have only used signals recorded for less than 28 days. We assessed human ECoG recordings over durations of many months to investigate changes to recording quality that occur with long-term implantation. METHODS: We examined changes in signal properties over time from 15 ambulatory humans who had continuous subdural ECoG monitoring for 184-766 days...
February 2018: IEEE Transactions on Bio-medical Engineering
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