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https://www.readbyqxmd.com/read/29778070/high-intensity-binge-drinking-is-associated-with-alterations-in-spontaneous-neural-oscillations-in-young-adults
#1
Rifqi O Affan, Siyuan Huang, Stephen M Cruz, Lee A Holcomb, Edward Nguyen, Ksenija Marinkovic
Heavy episodic alcohol consumption (also termed binge drinking) contributes to a wide range of health and cognitive deficits, but the associated brain-based indices are poorly understood. The current study used electroencephalography (EEG) to examine spontaneous neural oscillations in young adults as a function of quantity, frequency, and the pattern of their alcohol consumption. Sixty-one young adults (23.4 ± 3.4 years of age) were assigned to binge drinking (BD) and light drinking (LD) groups that were equated on gender, race/ethnic identity, age, educational background, and family history of alcoholism...
January 8, 2018: Alcohol
https://www.readbyqxmd.com/read/29775912/an-accurate-sleep-stages-classification-system-using-a-new-class-of-optimally-time-frequency-localized-three-band-wavelet-filter-bank
#2
Manish Sharma, Deepanshu Goyal, P V Achuth, U Rajendra Acharya
Sleep related disorder causes diminished quality of lives in human beings. Sleep scoring or sleep staging is the process of classifying various sleep stages which helps to detect the quality of sleep. The identification of sleep-stages using electroencephalogram (EEG) signals is an arduous task. Just by looking at an EEG signal, one cannot determine the sleep stages precisely. Sleep specialists may make errors in identifying sleep stages by visual inspection. To mitigate the erroneous identification and to reduce the burden on doctors, a computer-aided EEG based system can be deployed in the hospitals, which can help identify the sleep stages, correctly...
May 10, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29775640/prestimulus-delta-and-theta-contributions-to-equiprobable-go-nogo-processing-in-healthy-ageing
#3
Frances M De Blasio, Robert J Barry
Ongoing EEG activity contributes to ERP outcomes of stimulus processing, and each of these measures is known to undergo (sometimes significant) age-related change. Variation in their relationship across the life-span may thus elucidate mechanisms of normal and pathological ageing. This study assessed the relationships between low-frequency EEG prestimulus brain states, the ERP, and behavioural outcomes in a simple equiprobable auditory Go/NoGo paradigm, comparing these for 20 young (Mage  = 20.4 years) and 20 healthy older (Mage  = 68...
May 15, 2018: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/29775031/-neurofeedback-therapy-in-the-treatment-of-tinnitus
#4
REVIEW
Z Q Zhao, G X Lei, Y L Li, D Zhang, W D Shen, S M Yang, Y H Qiao
Neurofeedback therapy is a fast-growing field of tinnitus treatment, which is a new type of biofeedback therapy. In the past, the "muscle tone" and "blood flow" were used as feedback signals in biofeedback therapy to treat tinnitus, however there was no long-term follow-up report. Instead, neurofeedback therapy utilizes EEG (electroencephalogram) as the feedback signal, which is also called EEG biofeedback therapy. At present, most treatments of tinnitus only record subjective measures of patients as evaluation indicators, whereas neurofeedback therapy is more convincing for using comprehensive evaluation including changes of brain wave as objective indicators and subjective measures of patients...
February 2018: Journal of Clinical Otorhinolaryngology, Head, and Neck Surgery
https://www.readbyqxmd.com/read/29774867/incorporation-of-dynamic-stopping-strategy-into-the-high-speed-ssvep-based-bcis
#5
Jing Jiang, Erwei Yin, Chunhui Wang, Minpeng Xu, Dong Ming
OBJECTIVE: Electroencephalography (EEG) is a non-linear and non-stationary process, as a result, its features are unstable and often vary in quality across trials, which poses significant challenges to brain-computer interfaces (BCIs). One remedy to this problem is to adaptively collect sufficient EEG evidence using dynamic stopping (DS) strategies. The high-speed steady-state visual evoked potential (SSVEP)-based BCI has experienced tremendous progress in recent years. This study aims to further improve the high-speed SSVEP-based BCI by incorporating the DS strategy...
May 18, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29773983/somatosensory-cross-modal-reorganization-in-adults-with-age-related-early-stage-hearing-loss
#6
Garrett Cardon, Anu Sharma
Under conditions of profound sensory deprivation, the brain has the propensity to reorganize. For example, intact sensory modalities often recruit deficient modalities' cortices for neural processing. This process is known as cross-modal reorganization and has been shown in congenitally and profoundly deaf patients. However, much less is known about cross-modal cortical reorganization in persons with less severe cases of age-related hearing loss (ARHL), even though such cases are far more common. Thus, we investigated cross-modal reorganization between the auditory and somatosensory modalities in older adults with normal hearing (NH) and mild-moderate ARHL in response to vibrotactile stimulation using high density electroencephalography (EEG)...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29773777/seeking-biomarkers-of-early-childhood-malnutrition-s-long-term-effects
#7
Pedro A Valdés-Sosa, Janina R Galler, Cyralene P Bryce, Arielle G Rabinowitz, María L Bringas-Vega, Nibaldo Hernández-Mesa, Alberto Taboada-Crispi
Protein-energy malnutrition affects one in nine people worldwide and is most prevalent among children aged less than five years in low-income countries. Early childhood malnutrition can have damaging neurodevelopmental effects, with significant increases in cognitive, neurological and mental health problems over the lifespan, outcomes which can also extend to the next generation. This article describes a research collaboration involving scientists from five centers in Barbados, China, Cuba and the USA. It builds on longer-term joint work between the Barbados Nutrition Study (which, over a 45-year span, has extensively documented nutritional, health, behavioral, social and economic outcomes of individuals who experienced protein-energy malnutrition in the first year of life and healthy controls from the same classrooms and neighborhoods) and the Cuban Neuroscience Center (which has developed low-cost brain imaging methods that can be readily used in low income settings to identify biomarkers for early detection and treatment of adverse consequences of childhood malnutrition)...
April 2018: MEDICC Review
https://www.readbyqxmd.com/read/29773755/expectations-do-not-alter-early-sensory-processing-during-perceptual-decision-making
#8
Nuttida Rungratsameetaweemana, Sirawaj Itthipuripat, Annalisa Salazar, John T Serences
Two factors play an important role in shaping perception: the allocation of selective attention to behaviorally relevant sensory features, and prior expectations about regularities in the environment. Signal detection theory proposes distinct roles of attention and expectation on decision-making such that attention modulates early sensory processing whereas expectation influences the selection and execution of motor responses. Challenging this classic framework, recent studies suggest that expectations about sensory regularities enhance the encoding and accumulation of sensory evidence during decision-making...
May 17, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29768989/a-novel-method-of-building-functional-brain-network-using-deep-learning-algorithm-with-application-in-proficiency-detection
#9
Chengcheng Hua, Hong Wang, Hong Wang, Shaowen Lu, Chong Liu, Syed Madiha Khalid
Functional brain network (FBN) has become very popular to analyze the interaction between cortical regions in the last decade. But researchers always spend a long time to search the best way to compute FBN for their specific studies. The purpose of this study is to detect the proficiency of operators during their mineral grinding process controlling based on FBN. To save the search time, a novel semi-data-driven method of computing functional brain connection based on stacked autoencoder (BCSAE) is proposed in this paper...
April 11, 2018: International Journal of Neural Systems
https://www.readbyqxmd.com/read/29765400/single-trial-evoked-potential-estimating-based-on-sparse-coding-under-impulsive-noise-environment
#10
Nannan Yu, Ying Chen, Lingling Wu, Hanbing Lu
Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary. In sparse coding, the noise generally is considered to be a Gaussian random process. However, some studies have shown that the background noise in EPs may present an impulsive characteristic which is far from Gaussian but suitable to be modeled by the α -stable distribution (1 < α ≤ 2)...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29765144/mind-wandering-and-task-focused-attention-erp-correlates
#11
Óscar F Gonçalves, Gabriel Rêgo, Tatiana Conde, Jorge Leite, Sandra Carvalho, Olívia Morgan Lapenta, Paulo S Boggio
Previous studies looking at how Mind Wandering (MW) impacts performance in distinct Focused Attention (FA) systems, using the Attention Network Task (ANT), showed that the presence of pure MW thoughts did not impact the overall performance of ANT (alert, orienting and conflict) performance. However, it still remains unclear if the lack of interference of MW in the ANT, reported at the behavioral level, has a neurophysiological correspondence. We hypothesize that a distinct cortical processing may be required to meet attentional demands during MW...
May 15, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29763744/characterization-of-electroencephalography-signals-for-estimating-saliency-features-in-videos
#12
Zhen Liang, Yasuyuki Hamada, Shigeyuki Oba, Shin Ishii
Understanding the functions of the visual system has been one of the major targets in neuroscience formany years. However, the relation between spontaneous brain activities and visual saliency in natural stimuli has yet to be elucidated. In this study, we developed an optimized machine learning-based decoding model to explore the possible relationships between the electroencephalography (EEG) characteristics and visual saliency. The optimal features were extracted from the EEG signals and saliency map which was computed according to an unsupervised saliency model ( Tavakoli and Laaksonen, 2017)...
May 12, 2018: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29763673/the-distribution-of-pain-activity-across-the-human-neonatal-brain-is-sex-dependent
#13
Madeleine Verriotis, Laura Jones, Kimberley Whitehead, Pureza Laudiano-Dray, Ismini Panayotidis, Hemani Patel, Judith Meek, Lorenzo Fabrizi, Maria Fitzgerald
In adults, there are differences between male and female structural and functional brain connectivity, specifically for those regions involved in pain processing. This may partly explain the observed sex differences in pain sensitivity, tolerance, and inhibitory control, and in the development of chronic pain. However, it is not known if these differences exist from birth. Cortical activity in response to a painful stimulus can be observed in the human neonatal brain, but this nociceptive activity continues to develop in the postnatal period and is qualitatively different from that of adults, partly due to the considerable cortical maturation during this time...
May 12, 2018: NeuroImage
https://www.readbyqxmd.com/read/29761975/-research-on-electroencephalogram-emotion-recognition-based-on-the-feature-fusion-algorithm-of-auto-regressive-model-and-wavelet-packet-entropy
#14
Xin Li, Xiaoqi Sun, Xin Wang, Chunyan Shi, Jiannan Kang, Yongjie Hou
Focused on the world-wide issue of improving the accuracy of emotion recognition, this paper proposes an electroencephalogram (EEG) signal feature extraction algorithm based on wavelet packet energy entropy and auto-regressive (AR) model. The auto-regressive process can be approached to EEG signal as much as possible, and provide a wealth of spectral information with few parameters. The wavelet packet entropy reflects the spectral energy distribution of the signal in each frequency band. Combination of them gives a better reflect of the energy characteristics of EEG signals...
February 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29761932/attentional-selection-and-suppression-in-children-and-adults
#15
Meirong Sun, Encong Wang, Jing Huang, Chenguang Zhao, Jialiang Guo, Dongwei Li, Li Sun, Boqi Du, Yulong Ding, Yan Song
The fundamental role of covert spatial attention is to enhance the processing of attended items while simultaneously ignoring irrelevant items. However, relatively little is known about how brain electrophysiological activities associated with target selection and distractor suppression are involved as they develop and become fully functional. The current study aimed to identify the neurophysiological bases of the development of covert spatial attention, focusing on electroencephalographic (EEG) markers of attentional selection (N2pc) and suppression (PD )...
May 15, 2018: Developmental Science
https://www.readbyqxmd.com/read/29761891/processed-electroencephalogram-and-evoked-potential-techniques-for-amelioration-of-postoperative-delirium-and-cognitive-dysfunction-following-non-cardiac-and-non-neurosurgical-procedures-in-adults
#16
REVIEW
Yodying Punjasawadwong, Waraporn Chau-In, Malinee Laopaiboon, Sirivimol Punjasawadwong, Pathomporn Pin-On
BACKGROUND: Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) may complicate a patient's postoperative recovery in several ways. Monitoring of processed electroencephalogram (EEG) or evoked potential (EP) indices may prevent or minimize POD and POCD, probably through optimization of anaesthetic doses. OBJECTIVES: To assess whether the use of processed EEG or auditory evoked potential (AEP) indices (bispectral index (BIS), narcotrend index, cerebral state index, state entropy and response entropy, patient state index, index of consciousness, A-line autoregressive index, and auditory evoked potentials (AEP index)) as guides to anaesthetic delivery can reduce the risk of POD and POCD in non-cardiac surgical or non-neurosurgical adult patients undergoing general anaesthesia compared with standard practice where only clinical signs are used...
May 15, 2018: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/29758338/how-do-children-fall-asleep-a-high-density-eeg-study-of-slow-waves-in-the-transition-from-wake-to-sleep
#17
Mathilde Spiess, Giulio Bernardi, Salome Kurth, Maya Ringli, Flavia M Wehrle, Oskar G Jenni, Reto Huber, Francesca Siclari
INTRODUCTION: Slow waves, the hallmarks of non-rapid eye-movement (NREM) sleep, are thought to reflect maturational changes that occur in the cerebral cortex throughout childhood and adolescence. Recent work in adults has revealed evidence for two distinct synchronization processes involved in the generation of slow waves, which sequentially come into play in the transition to sleep. In order to understand how these two processes are affected by developmental changes, we compared slow waves between children and young adults in the falling asleep period...
May 11, 2018: NeuroImage
https://www.readbyqxmd.com/read/29753683/evaluating-resective-surgery-targets-in-epilepsy-patients-a-comparison-of-quantitative-eeg-methods
#18
Michael Müller, Kaspar Schindler, Marc Goodfellow, Claudio Pollo, Christian Rummel, Andreas Steimer
BACKGROUND: Quantitative analysis of intracranial EEG is a promising tool to assist clinicians in the planning of resective brain surgery in patients suffering from pharmacoresistant epilepsies. Quantifying the accuracy of such tools, however, is nontrivial as a ground truth to verify predictions about hypothetical resections is missing. NEW METHOD: As one possibility to address this, we use customized hypotheses tests to examine the agreement of the methods on a common set of patients...
May 10, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29753306/distinct-neural-mechanisms-for-reading-arabic-vs-verbal-numbers-an-erp-study
#19
Alice Mado Proverbio, Marco Bianco, Francesco de Benedetto
In this EEG/ERP study, 16 volunteers were asked to compare the numerical equality of 360 pairs of multi-digit numbers presented in Arabic or verbal format. Behavioural data showed faster and more accurate responses for digit targets, with a right hand/left hemisphere advantage only for verbal numerals. Occipito-temporal N1, peaking at approximately 180 ms, was strongly left-lateralized during verbal number processing and bilateral during digit processing. A LORETA (low resolution electromagnetic tomography) source reconstruction performed at the N1 latency stage (155-185 ms) revealed greater brain activation during coding of Arabic than of verbal stimuli...
May 12, 2018: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29752232/modulation-of-spectral-power-and-functional-connectivity-in-human-brain-by-acupuncture-stimulation
#20
Haitao Yu, Xinyu Wu, Lihui Cai, Bin Deng, Jiang Wang
Acupuncture, as an external stimulation, can produce clinical effects via the central nervous system. In order to investigate the modulatory efficacy of acupuncture on brain activity, multichannel EEG signals evoked by acupuncture at "Zusanli" acupoint were recorded from healthy humans in three states: pre-acupuncture, acupuncture, and post-acupuncture. Power spectral density is first used to analyze the EEG power change during acupuncture process. It is found that EEG power significantly increased in the delta and alpha bands under acupuncture and high power level remained in alpha band after acupuncture...
May 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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