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https://www.readbyqxmd.com/read/28239344/selective-attention-enhances-beta-band-cortical-oscillation-to-speech-under-cocktail-party-listening-conditions
#1
Yayue Gao, Qian Wang, Yu Ding, Changming Wang, Haifeng Li, Xihong Wu, Tianshu Qu, Liang Li
Human listeners are able to selectively attend to target speech in a noisy environment with multiple-people talking. Using recordings of scalp electroencephalogram (EEG), this study investigated how selective attention facilitates the cortical representation of target speech under a simulated "cocktail-party" listening condition with speech-on-speech masking. The result shows that the cortical representation of target-speech signals under the multiple-people talking condition was specifically improved by selective attention relative to the non-selective-attention listening condition, and the beta-band activity was most strongly modulated by selective attention...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28238859/automated-selective-disruption-of-slow-wave-sleep
#2
Sharon J Ooms, John M Zempel, David M Holtzman, Yo-El S Ju
BACKGROUND: Slow wave sleep (SWS) plays an important role in neurophysiologic restoration. Experimentally testing the effect of SWS disruption previously required highly time-intensive and subjective methods. Our goal was to develop an automated and objective protocol to reduce SWS without affecting sleep architecture. NEW METHOD: We developed a custom Matlab™ protocol to calculate electroencephalogram spectral power every 10seconds live during a polysomnogram, exclude artifact, and, if measurements met criteria for SWS, deliver increasingly louder tones through earphones...
February 23, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28237931/a-multimodal-system-for-assessing-alertness-levels-due-to-cognitive-loading
#3
Anwesha Sengupta, Anirban Dasgupta, Aritra Chaudhuri, Anjith George, Aurobinda Routray, Rajlakshmi Guha
This paper proposes a scheme for assessing the alertness levels of an individual using simultaneous acquisition of multimodal physiological signals and fusing the information into a single metric for quantification of alertness. The system takes Electroencephalogram (EEG), high-speed image sequence and speech data as inputs. Certain parameters are computed from each of these measures as indicators of alertness and a metric by a fusion of the parameters for indicating alertness level of an individual at an instant is proposed...
February 20, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28237686/age-related-changes-in-neural-oscillations-supporting-context-memory-retrieval
#4
Jonathan Strunk, Taylor James, Jason Arndt, Audrey Duarte
Recent evidence suggests that directing attention toward single item-context associations during encoding improves young and older adults' context memory performance and reduces demands on executive functions during retrieval. In everyday situations, there are many event features competing for our attention, and our ability to successfully recover those details may depend on our ability to ignore others. Failures of selective attention may contribute to older adults' context memory impairments. In the current electroencephalogram (EEG) study, we assessed the effects of age on processes supporting successful context memory retrieval of selectively attended features as indexed by neural oscillations...
February 3, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28236574/novel-biomarkers-of-human-gm1-gangliosidosis-reflect-the-clinical-efficacy-of-gene-therapy-in-a-feline-model
#5
Heather L Gray-Edwards, Debra S Regier, Jamie L Shirley, Ashley N Randle, Nouha Salibi, Sarah E Thomas, Yvonne L Latour, Jean Johnston, Gretchen Golas, Annie S Maguire, Amanda R Taylor, Donald C Sorjonen, Victoria J McCurdy, Peter W Christopherson, Allison M Bradbury, Ronald J Beyers, Aime K Johnson, Brandon L Brunson, Nancy R Cox, Henry J Baker, Thomas S Denney, Miguel Sena-Esteves, Cynthia J Tifft, Douglas R Martin
GM1 gangliosidosis is a fatal neurodegenerative disease that affects individuals of all ages. Favorable outcomes using adeno-associated viral (AAV) gene therapy in GM1 mice and cats have prompted consideration of human clinical trials, yet there remains a paucity of objective biomarkers to track disease status. We developed a panel of biomarkers using blood, urine, cerebrospinal fluid (CSF), electrodiagnostics, 7 T MRI, and magnetic resonance spectroscopy in GM1 cats-either untreated or AAV treated for more than 5 years-and compared them to markers in human GM1 patients where possible...
February 21, 2017: Molecular Therapy: the Journal of the American Society of Gene Therapy
https://www.readbyqxmd.com/read/28236135/deriving-theoretical-phase-locking-values-of-a-coupled-cortico-thalamic-neural-mass-model-using-center-manifold-reduction
#6
Yutaro Ogawa, Ikuhiro Yamaguchi, Kiyoshi Kotani, Yasuhiko Jimbo
Cognitive functions such as sensory processing and memory processes lead to phase synchronization in the electroencephalogram or local field potential between different brain regions. There are a lot of computational researches deriving phase locking values (PLVs), which are an index of phase synchronization intensity, from neural models. However, these researches derive PLVs numerically. To the best of our knowledge, there have been no reports on the derivation of a theoretical PLV. In this study, we propose an analytical method for deriving theoretical PLVs from a cortico-thalamic neural mass model described by a delay differential equation...
February 24, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28235667/automated-detection-of-high-frequency-oscillations-in-electrophysiological-signals-methodological-advances
#7
Miguel Navarrete, Jan Pyrzowski, Juliana Corlier, Mario Valderrama, Michel Le Van Quyen
In recent years, new recording technologies have advanced such that oscillations of neuronal networks can be identified from simultaneous, multisite recordings at high temporal and spatial resolutions. However, because of the deluge of multichannel data generated by these experiments, achieving the full potential of parallel neuronal recordings also depends on the development of new mathematical methods capable of extracting meaningful information related to time, frequency and space. In this review, we aim to bridge this gap by focusing on the new analysis tools developed for the automated detection of high-frequency oscillations (HFOs, > 40 Hz) in local field potentials...
February 21, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28229495/adolescent-daytime-sleepiness-as-a-risk-factor-for-adult-crime
#8
Adrian Raine, Peter H Venables
BACKGROUND: While recent cross-sectional research has documented a relationship between sleep problems and antisocial behavior, the longitudinal nature of this relationship is unknown. This study tests both the hypothesis that adolescent daytime sleepiness is associated with later adult criminal offending, and also tests a biopsychosocial mediation model in which social adversity predisposes to sleepiness, which in turn predisposes to attentional impairment, and to adult crime. METHODS: Schoolboys aged 15 years rated themselves on self-report sleepiness...
February 23, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28227982/analysis-of-the-sleep-eeg-in-the-complexity-domain
#9
Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Teresa Henriques, Robert J Thomas, Madalena D Costa, Samuel J Leistedt, Paul Linkowski, Ary L Goldberger, Jean-Pol Lanquart, Sara Mariani, Ana F T Borges
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary "complexity domain" approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard sleep analysis and to that based on electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227981/assessment-of-sedation-analgesia-by-means-of-poincare%C3%AC-analysis-of-the-electroencephalogram
#10
Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Montserrat Vallverdu, Pere Caminal, Daniel F Valencia, Xavi Borrat, Pedro L Gambus, Jose F Valencia, Jose D Bolanos, Xavi Borrat, Jose F Valencia, Montserrat Vallverdu, Pere Caminal, Pedro L Gambus, Daniel F Valencia
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on minimally invasive medical procedures. Monitors based on EEG analysis and designed to assess general anesthesia cannot distinguish reliably between a light and deep sedation. In this work, the Poincaré plot is used as a nonlinear technique applied to EEG signals in order to characterize the levels of sedation-analgesia, according to observed categorical responses that were evaluated by means of Ramsay Sedation Scale (RSS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227963/predicting-seizures-from-local-field-potentials-recorded-via-intracortical-microelectrode-arrays
#11
Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg, Sydney S Cash, Wilson Truccolo, Sydney S Cash, Wilson Truccolo, Mehdi Aghagolzadeh, Leigh R Hochberg
The need for new therapeutic interventions to treat pharmacologically resistant focal epileptic seizures has led recently to the development of closed-loop systems for seizure control. Once a seizure is predicted/detected by the system, electrical stimulation is delivered to prevent seizure initiation or spread. So far, seizure prediction/detection has been limited to tracking non-invasive electroencephalogram (EEG) or intracranial EEG (iEEG) signals. Here, we examine seizure prediction based on local field potentials (LFPs) from a small neocortical patch recorded via a 10×10 microelectrode array implanted in a patient with focal seizures...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227947/wireless-eeg-patch-sensor-on-forehead-using-on-demand-stretchable-electrode-sheet-and-electrode-tissue-impedance-scanner
#12
S Yoshimoto, T Araki, T Uemura, T Nezu, M Kondo, K Sasai, M Iwase, H Satake, A Yoshida, M Kikuchi, T Sekitani, S Yoshimoto, T Araki, T Uemura, T Nezu, M Kondo, K Sasai, M Iwase, H Satake, A Yoshida, M Kikuchi, T Sekitani, T Sekitani, M Kikuchi, M Kondo, T Nezu, A Yoshida, S Yoshimoto, H Satake, T Uemura, K Sasai, T Araki, M Iwase
A wireless electroencephalogram (EEG) sensor using a stretchable electrode sheet and electrode-tissue impedance measurement module is presented herein. The sensor can be attached to the forehead using biocompatible gel with the electrode sheet. The sensor is compactly designed for 3 cm × 9 cm × 6 mm with weight of 12 g. Impedance scanning circuit is also proposed to evaluate the skin surface condition before EEG measurements. We developed the impedance scanning board for 3 cm × 5 cm × 3 mm, with weight of 5...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227901/identifying-montages-that-best-detect-the-electroencephalogram-power-spectrum-alteration-during-freezing-of-gait-in-parkinson-s-disease-patients
#13
Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Nghia Nguyen, A M Ardi Handojoseno, Moran Gilat, Hung T Nguyen, Yvonne Tran, Simon J G Lewis, Quynh Tran Ly, Rifai Chai
Our research team has previously used four Electroencephalography (EEG) leads to successfully detect and predict Freezing of Gait (FOG) in Parkinson's disease (PD). However, it remained to be determined whether these four sensor locations that were arbitrarily chosen based on their role in motor control are indeed the most optimal for FOG detection. The aim of this study was therefore to determine the most optimal location and combination of sensors to detect FOG amongst a 32-channel EEG montage using our EEG classification system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227842/phase-modulation-based-response-inhibition-outcome-prediction-in-translational-scenario-of-stop-signal-task
#14
Rupesh Kumar Chikara, Li-Wei Ko, Rupesh Kumar Chikara, Li-Wei Ko, Li-Wei Ko, Rupesh Kumar Chikara
In this paper, a method is proposed to predict the resting-state outcomes of participants based on their electroencephalogram (EEG) signals recorded before the successful /unsuccessful response inhibition. The motivation of this study is to enhance the shooter performance for shooting the target, when their EEG patterns show that they are ready. This method can be used in brain-computer interface (BCI) system. In this study, multi-channel EEG from twenty participants are collected by the electrodes placed at different scalp locations in resting-state time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227806/a-new-soft-material-based-in-the-ear-eeg-recording-technique
#15
Hao Dong, Paul M Matthews, Yike Guo, Hao Dong, Paul M Matthews, Yike Guo, Hao Dong, Paul M Matthews, Yike Guo
Long-term electroencephalogram (EEG) is important for seizure detection, sleep monitoring and etc. In-the- ear EEG device makes such recording robust to noise and privacy protected (invisible to other people). However, the state-of-art techniques suffer from various drawbacks such as customization for specific users, manufacturing difficulties and short life cycle. To address these issues, we proposed silvered glass silicone based in-the-ear electrode which can be manufactured using conventional compression moulding...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227696/oscillatory-brain-activity-changes-by-anodal-tdcs-an-ecog-study-on-anesthetized-beagles
#16
Sehyeon Jang, Donghyeon Kim, Junkil Been, Hohyun Cho, Sung Chan Jun, Sehyeon Jang, Donghyeon Kim, Junkil Been, Hohyun Cho, Sung Chan Jun, Donghyeon Kim, Junkil Been, Sung Chan Jun, Hohyun Cho, Sehyeon Jang
Measuring neuronal activity of transcranial direct current stimulation (tDCS) is essential for investigating tDCS in stimuli or after stimuli effects. The aim of this study was to investigate the oscillatory changes from anodal tDCS using electrocorticography (ECoG) on beagles. We applied 2 mA anodal tDCS and monitored the ECoG signals (32 channels, 512 Hz sampling rate) for 15 minutes in three anesthetized beagles. Then, we compared the power changes before, during, and after tDCS in six different bands (delta, theta, alpha, beta, low-gamma, and mid-gamma bands)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227553/transfer-learning-with-large-scale-data-in-brain-computer-interfaces
#17
Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Chin-Teng Lin, Chun-Shu Wei
Human variability in electroencephalogram (EEG) poses significant challenges for developing practical real-world applications of brain-computer interfaces (BCIs). The intuitive solution of collecting sufficient user-specific training/calibration data can be very labor-intensive and time-consuming, hindering the practicability of BCIs. To address this problem, transfer learning (TL), which leverages existing data from other sessions or subjects, has recently been adopted by the BCI community to build a BCI for a new user with limited calibration data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227552/research-on-eeg-features-of-attended-unattended-vigilance
#18
Chang Sun, Runge Chen, Miao Tian, Xingwei An, Hongzhi Qi, Minpeng Xu, Xuemin Wang, Dong Ming, Peng Zhou, Chang Sun, Runge Chen, Miao Tian, Xingwei An, Hongzhi Qi, Minpeng Xu, Xuemin Wang, Dong Ming, Peng Zhou, Miao Tian, Minpeng Xu, Hongzhi Qi, Runge Chen, Dong Ming, Chang Sun, Xingwei An, Peng Zhou, Xuemin Wang
Vigilance refers to the brain alertness to objective things, including the concentration of attention and the capability to response emergencies. It is of great importance to study vigilance monitoring to avoid accidents caused by decrease of vigilance. In this study, traditional Mackworth Clock Test (MCT) was modified to induce decline of attended and unattended vigilance. We analyzed EEG features in different levels of attended vigilance and assessed unattended vigilance by amplitude of mismatch negative (MMN) which can be evoked by audio odd ball stimulations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227548/driver-drowsiness-detection-using-the-in-ear-eeg
#19
Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park, Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park, Kwang Suk Park, Seunghyeok Hong, Miyoung Kim, Taeho Hwang
Driver drowsiness monitoring is one of the most demanded technologies for active prevention of severe road accidents. Electroencephalogram (EEG) and several peripheral signals have been suggested for the drowsiness monitoring. However, each type of signal has partial limitations in terms of either convenience or accuracy. Recent emerged concept of in-ear EEG raises expectations due to reduced obtrusiveness. It is yet unclear whether the in-ear EEG is effective enough for drowsiness detection in comparison with on-scalp EEG or peripheral signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227510/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#20
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, An H Do, Zoran Nenadic, Colin M McCrimmon, Keulanna Gandasetiawan, Payam Heydari, Alireza Karimi-Bidhendi, Po T Wang, Charles Y Liu
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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