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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/29777505/a-fingertip-force-prediction-model-for-grasp-patterns-characterised-from-the-chaotic-behaviour-of-eeg
#2
Rinku Roy, Debdeep Sikdar, Manjunatha Mahadevappa, C S Kumar
A stable grasp is attained through appropriate hand preshaping and precise fingertip forces. Here, we have proposed a method to decode grasp patterns from motor imagery and subsequent fingertip force estimation model with a slippage avoidance strategy. We have developed a feature-based classification of electroencephalography (EEG) associated with imagination of the grasping postures. Chaotic behaviour of EEG for different grasping patterns has been utilised to capture the dynamics of associated motor activities...
May 19, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29775401/electroencephalographic-signals-during-anesthesia-recorded-from-surface-and-depth-electrodes
#3
Ville Jäntti, Tuomo Ylinen, Narayan Puthanmadam Subramaniyam, Kotoe Kamata, Arvi Yli-Hankala, Pasi Kauppinen, Eila Sonkajärvi
Purpose - Anesthesiologists have increasingly started to use EEG based indexes to estimate the level and type of unconsciousness. However, the physiology and biophysics are poorly understood in anesthesiological literature. Methods - EEG was recorded from electrodes on the surface of head, including scalp, as well as DBS (deep brain stimulation) electrodes implanted deep in the brain. Mathematical modeling with a realistic head model was performed to create illustrative images of the sensitivity of electrode montages...
May 18, 2018: International Journal of Radiation Biology
https://www.readbyqxmd.com/read/29773984/midfrontal-theta-and-posterior-parietal-alpha-band-oscillations-support-conflict-resolution-in-a-masked-affective-priming-task
#4
Jun Jiang, Kira Bailey, Xiao Xiao
Past attempts to characterize the neural mechanisms of affective priming have conceptualized it in terms of classic cognitive conflict, but have not examined the neural oscillatory mechanisms of subliminal affective priming. Using behavioral and electroencephalogram (EEG) time frequency (TF) analysis, the current study examines the oscillatory dynamics of unconsciously triggered conflict in an emotional facial expressions version of the masked affective priming task. The results demonstrate that the power dynamics of conflict are characterized by increased midfrontal theta activity and suppressed parieto-occipital alpha activity...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29773153/differential-electrophysiological-correlates-of-panic-disorder-in-non-pulsatile-tinnitus
#5
T Pattyn, S Vanneste, D De Ridder, V Van Rompaey, D J Veltman, P Van de Heyning, Bcg Sabbe, F Van Den Eede
AIMS: The prevalence of panic disorder (PD) reportedly is up to fivefold higher in people with tinnitus than it is in the general population. The brain networks in the two conditions overlap but the pathophysiological link remains unclear. In this study the electrophysiological brain activity is investigated in adults with non-pulsatile tinnitus with and without concurrent PD. METHODS: Resting-state EEGs of 16 participants with non-pulsatile tinnitus and PD were compared with those of 16 peers with non-pulsatile tinnitus without PD and as many healthy controls...
June 2018: Journal of Psychosomatic Research
https://www.readbyqxmd.com/read/29769435/defining-and-quantifying-users-mental-imagery-based-bci-skills-a-first-step
#6
Fabien Lotte, Camille Jeunet
While promising for many applications, Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) are still scarcely used outside laboratories, due to a poor reliability. It is thus necessary to study and fix this reliability issue. Doing so requires the use of appropriate reliability metrics to quantify both the classification algorithm and the BCI user's performances. So far, Classification Accuracy (CA) is the typical metric used for both aspects. However, we argue in this paper that CA is a poor metric to study BCI users' skills...
May 17, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29768471/performance-based-approach-for-movement-artifact-removal-from-electroencephalographic-data-recorded-during-locomotion
#7
Evyatar Arad, Ronny P Bartsch, Jan W Kantelhardt, Meir Plotnik
The appreciation for the need to record electroencephalographic (EEG) signals from humans while walking has been steadily growing in recent years, particularly in relation to understanding gait disturbances. Movement artefacts (MA) in EEG signals originate from mechanical forces applied to the scalp electrodes, inducing small electrode movements relative to the scalp which, in turn, cause the recorded voltage to change irrespectively of cortical activity. These mechanical forces, and thus MA, may have various sources (e...
2018: PloS One
https://www.readbyqxmd.com/read/29766458/cerebellar-stimulation-evoked-prefrontal-electrical-synchrony-is-modulated-by-gaba
#8
Xiaoming Du, Laura M Rowland, Ann Summerfelt, Fow-Sen Choa, George F Wittenberg, Krista Wisner, Andrea Wijtenburg, Joshua Chiappelli, Peter Kochunov, L Elliot Hong
Cerebellar-prefrontal connectivity has been recognized as important for behaviors ranging from motor coordination to cognition. Many of these behaviors are known to involve excitatory or inhibitory modulations from the prefrontal cortex. We used cerebellar transcranial magnetic stimulation (TMS) with simultaneous electroencephalography (EEG) to probe cerebellar-evoked electrical activity in prefrontal cortical areas and used magnetic resonance spectroscopy (MRS) measures of prefrontal GABA and glutamate levels to determine if they are correlated with those potentials...
May 15, 2018: Cerebellum
https://www.readbyqxmd.com/read/29765476/developmental-trends-of-theta-beta-interelectrode-power-correlation-during-resting-state-in-normal-children
#9
Ernesto Buiza, Elena I Rodríguez-Martínez, Catarina I Barriga-Paulino, Antonio Arjona, Carlos M Gómez
The possibility that power-to-power (theta-beta) frequency coupling increases during development was analyzed. Three minutes of spontaneous EEG in an open eyes condition were recorded in a sample of 160 subjects ranging from 6 to 26 years old. Theta (4-7 Hz) and beta band (15-20 Hz) power was calculated in a trial-by-trial basis. Inter-electrode power correlations (IPC) were computed in each subject as the correlation between the power of two frequency bands recorded in two electrodes. An increase in theta-beta IPC with age was obtained...
June 2018: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29763673/the-distribution-of-pain-activity-across-the-human-neonatal-brain-is-sex-dependent
#10
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/29763658/event-related-potential-analysis-techniques-for-autism-spectrum-disorders-a-review
#11
REVIEW
Priyalakshmi Sheela, Subha D Puthankattil
Autism Spectrum Disorders (ASD) comprise all pervasive neurodevelopmental diseases marked by deficits in social and communication skills, delayed cognitive development, restricted and repetitive behaviors. The core symptoms begin in early childhood, may continue life-long resulting in poor performance in adult stage. Event-related potential (ERP) is basically a time-locked electroencephalogram signal elicited by various stimuli, related to sensory and cognitive processes. The various ERP based techniques used for the study of ASD are considered in this review...
May 12, 2018: International Journal of Developmental Neuroscience
https://www.readbyqxmd.com/read/29762768/emergence-of-mature-cortical-activity-in-wakefulness-and-sleep-in-healthy-pre-term-and-full-term-infants
#12
Kimberley Whitehead, Pureza Laudiano-Dray, Judith Meek, Lorenzo Fabrizi
Study Objectives: Cortical activity patterns develop rapidly over the equivalent of the last trimester of gestation, in parallel with the establishment of sleep architecture. However, the emergence of mature cortical activity in wakefulness compared to sleep states in healthy pre-term infants is poorly understood. Methods: To investigate whether cortical activity has a different developmental profile in each sleep-wake state, we recorded 11-channels EEG, EOG and respiratory movement for one hour from 115 infants 34-43 weeks corrected age, with 0...
May 14, 2018: Sleep
https://www.readbyqxmd.com/read/29758967/multi-subject-subspace-alignment-for-non-stationary-eeg-based-emotion-recognition
#13
Xin Chai, Qisong Wang, Yongping Zhao, Xin Liu, Dan Liu, Ou Bai
Emotion recognition based on EEG signal is a critical component in Human-Machine collaborative environments and psychiatric health diagnoses. However, EEG patterns have been found to vary across subjects due to user fatigue, different electrode placements, and varying impedances, etc. This problem renders the performance of EEG-based emotion recognition highly specific to subjects, requiring time-consuming individual calibration sessions to adapt an emotion recognition system to new subjects. Recently, domain adaptation (DA) strategies have achieved a great deal success in dealing with inter-subject adaptation...
April 22, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29755510/assessment-of-multivariate-neural-time-series-by-phase-synchrony-clustering-in-a-time-frequency-topography-representation
#14
M A Porta-Garcia, R Valdes-Cristerna, O Yanez-Suarez
Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationships between multivariate neural time series is presented, applied either in a single epoch or over an intertrial assessment, relying on a proposed clustering algorithm, termed Multivariate Time Series Clustering by Phase Synchrony, which generates fuzzy clusters for each multivalued time sample and thereupon obtains hard clusters according to a circular variance threshold; such cluster modes are then depicted in Time-Frequency-Topography representations of synchrony state beyond mere global indices...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29754711/changes-in-resting-eeg-in-colombian-ex-combatants-ith-antisocial-personality-disorder
#15
Claudia Ramos, Jon Duque-Grajales, Jorge Rendón, Alejandro Montoya-Betancur, Ana Baena, David Pineda, Carlos Tobón
INTRODUCTION: Although the social and economic consequences of Colombian internal conflicts mainly affected the civilian population, they also had other implications. The ex-combatants, the other side of the conflict, have been the subject of many studies that question their personality structures and antisocial features. Results suggest that ex-combatants usually have characteristics of an antisocial personality disorder (ASPD) that is related with their behaviour. METHODS: Quantitative EEG (qEEG) was used to evaluate differences in cortical activity patterns between an ex-combatants group and a control group...
April 2018: Revista Colombiana de Psiquiatría
https://www.readbyqxmd.com/read/29747149/the-analysis-of-eeg-coherence-reflects-middle-childhood-differences-in-mathematical-achievement
#16
Andrés A González-Garrido, Fabiola R Gómez-Velázquez, Ricardo A Salido-Ruiz, Aurora Espinoza-Valdez, Hugo Vélez-Pérez, Rebeca Romo-Vazquez, Geisa B Gallardo-Moreno, Vanessa D Ruiz-Stovel, Alicia Martínez-Ramos, Gustavo Berumen
Symbolic numerical magnitude processing is crucial to arithmetic development, and it is thought to be supported by the functional activation of several brain-interconnected structures. In this context, EEG beta oscillations have been recently associated with attention and working memory processing that underlie math achievement. Due to that EEG coherence represents a useful measure of brain functional connectivity, we aimed to contrast the EEG coherence in forty 8-to-9-year-old children with different math skill levels (High: HA, and Low achievement: LA) according to their arithmetic scores in the Fourth Edition of the Wide Range Achievement Test (WRAT-4) while performing a symbolic magnitude comparison task (i...
May 7, 2018: Brain and Cognition
https://www.readbyqxmd.com/read/29747059/toward-optimal-feature-and-time-segment-selection-by-divergence-method-for-eeg-signals-classification
#17
Jie Wang, Zuren Feng, Na Lu, Jing Luo
Feature selection plays an important role in the field of EEG signals based motor imagery pattern classification. It is a process that aims to select an optimal feature subset from the original set. Two significant advantages involved are: lowering the computational burden so as to speed up the learning procedure and removing redundant and irrelevant features so as to improve the classification performance. Therefore, feature selection is widely employed in the classification of EEG signals in practical brain-computer interface systems...
May 3, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29742488/from-swing-to-cane-sex-differences-of-eeg-resting-state-temporal-patterns-during-maturation-and-aging
#18
M I Tomescu, T A Rihs, V Rochas, M Hardmeier, J Britz, G Allali, P Fuhr, S Eliez, C M Michel
While many insights on brain development and aging have been gained by studying resting-state networks with fMRI, relating these changes to cognitive functions is limited by the temporal resolution of fMRI. In order to better grasp short-lasting and dynamically changing mental activities, an increasing number of studies utilize EEG to define resting-state networks, thereby often using the concept of EEG microstates. These are brief (around 100 ms) periods of stable scalp potential fields that are influenced by cognitive states and are sensitive to neuropsychiatric diseases...
April 30, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29742457/some-technical-issues-of-vagal-nerve-stimulation-an-approach-using-a-hippocampal-formation-theta-rhythm
#19
Adam Broncel, Renata Bocian, Paulina Kłos-Wojtczak, Jan Konopacki
Previously, we have demonstrated that hippocampal (HPC) theta rhythm can be produced, depending on current intensity, directly during vagal nerve stimulation (VNS) or with a time delay following stimulation. This suggests that theta EEG pattern can also be used as a bio-indicator of the efficiency of VNS. In the present study, we focused on three specific, technical issues related to the stimulation procedure of the vagal nerve: i/does the type of the electrode used for VNS and the technique of its implantation affect the parameters of the HPC theta rhythm? ii/does the type of electrode used determine the current intensity threshold of VNS-induced HPC theta? iii/is the repeatability of the VNS effect determined by the type of electrode used? We demonstrated that a platinum-iridium cuff electrode offers some important advantages over a tungsten electrode...
May 6, 2018: Brain Research Bulletin
https://www.readbyqxmd.com/read/29739701/early-identification-of-epileptic-encephalopathy-with-continuous-spikes-and-waves-during-sleep-a-case-control-study
#20
Camille Desprairies, Blandine Dozières-Puyravel, Adina Ilea, Vanina Bellavoine, Hala Nasser, Catherine Delanöe, Stéphane Auvin
Epileptic encephalopathy with continuous spikes-and-waves during sleep (EE-CSWS) is a rare childhood epilepsy syndrome characterized by a regression in cognitive, behavioral and psychiatric functioning, seizures and a specific electroencephalographic pattern. An early recognition and an appropriate treatment might play a key role in the outcome of this epileptic encephalopathy. We conducted a case-control study to evaluate if there is any clinical or electroencephalographic sign suggestive of EE-CSWS after the first seizure...
April 27, 2018: European Journal of Paediatric Neurology: EJPN
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