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Functional electroencephalography

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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/29774480/topographical-assessment-of-neurocortical-connectivity-by-using-directed-transfer-function-and-partial-directed-coherence-during-meditation
#2
Laxmi Shaw, Aurobinda Routray
Due to the presence of nonlinearity and volume conduction in electroencephalography (EEG), sometimes it's challenging to find out the actual brain network from neurodynamical alteration. In this paper, two well-known time-frequency brain connectivity measures, namely partial directed coherence (PDC) and directed transfer function (DTF), have been applied to evaluate the performance analysis of EEG signals obtained during meditation. These measures are implemented to the multichannel meditation EEG data to get the directed neural information flow...
May 17, 2018: Cognitive Processing
https://www.readbyqxmd.com/read/29773983/somatosensory-cross-modal-reorganization-in-adults-with-age-related-early-stage-hearing-loss
#3
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/29773757/neural-signatures-of-the-processing-of-temporal-patterns-in-sound
#4
Björn Herrmann, Ingrid S Johnsrude
The ability to detect regularities in sound (i.e., recurring structure) is critical for effective perception, enabling, for example, change detection and prediction. Two seemingly unconnected lines of research concern the neural operations involved in processing regularities: one investigates how neural activity synchronizes with temporal regularities (e.g., frequency modulation; FM) in sounds, whereas the other focuses on increases in sustained activity during stimulation with repeating tone-frequency patterns...
May 17, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29766458/cerebellar-stimulation-evoked-prefrontal-electrical-synchrony-is-modulated-by-gaba
#5
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/29763744/characterization-of-electroencephalography-signals-for-estimating-saliency-features-in-videos
#6
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
#7
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/29761531/fluctuations-of-the-eeg-fmri-correlation-reflect-intrinsic-strength-of-functional-connectivity-in-default-mode-network
#8
Tuija Keinänen, Seppo Rytky, Vesa Korhonen, Niko Huotari, Juha Nikkinen, Osmo Tervonen, J Matias Palva, Vesa Kiviniemi
Both functional magnetic resonance imaging (fMRI) and electrophysiological recordings have revealed that resting-state functional connectivity is temporally variable in human brain. Combined full-band electroencephalography-fMRI (fbEEG-fMRI) studies have shown that infraslow (<.1 Hz) fluctuations in EEG scalp potential are correlated with the blood-oxygen-level-dependent (BOLD) fMRI signals and that also this correlation appears variable over time. Here, we used simultaneous fbEEG-fMRI to test the hypothesis that correlation dynamics between BOLD and fbEEG signals could be explained by fluctuations in the activation properties of resting-state networks (RSNs) such as the extent or strength of their activation...
May 14, 2018: Journal of Neuroscience Research
https://www.readbyqxmd.com/read/29755332/neurofeedback-and-the-neural-representation-of-self-lessons-from-awake-state-and-sleep
#9
Andreas A Ioannides
Neurofeedback has been around for half a century, but despite some promising results it is not yet widely appreciated. Recently, some of the concerns about neurofeedback have been addressed with functional magnetic resonance imaging and magnetoencephalography adding their contributions to the long history of neurofeedback with electroencephalography. Attempts to address other concerns related to methodological issues with new experiments and meta-analysis of earlier studies, have opened up new questions about its efficacy...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29751603/agent-based-intelligent-interface-for-wheelchair-movement-control
#10
Alberto L Barriuso, Javier Pérez-Marcos, Diego M Jiménez-Bravo, Gabriel Villarrubia González, Juan F De Paz
People who suffer from any kind of motor difficulty face serious complications to autonomously move in their daily lives. However, a growing number research projects which propose different powered wheelchairs control systems are arising. Despite of the interest of the research community in the area, there is no platform that allows an easy integration of various control methods that make use of heterogeneous sensors and computationally demanding algorithms. In this work, an architecture based on virtual organizations of agents is proposed that makes use of a flexible and scalable communication protocol that allows the deployment of embedded agents in computationally limited devices...
May 11, 2018: Sensors
https://www.readbyqxmd.com/read/29745544/-research-on-effects-of-low-frequency-repetitive-transcranial-magnetic-stimulation-over-primary-motor-cortex-on-functional-connectivity-of-brain
#11
Jingna Jin, Fang Jin, Xin Wang, Zhipeng Liu, Tao Yin
Repetitive transcranial magnetic stimulation (rTMS) can influence the stimulated brain regions and other distal brain regions connecting to them. The purpose of the study is to investigate the effects of low-frequency rTMS over primary motor cortex on brain by analyzing the brain functional connectivity and coordination between brain regions. 10 healthy subjects were recruited. 1 Hz rTMS was used to stimulate primary motor cortex for 20 min. 1 min resting state electroencephalography (EEG) was collected before and after the stimulation respectively...
August 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29740300/spectral-spatial-differentiation-of-brain-activity-during-mental-imagery-of-improvisational-music-performance-using-meg
#12
Jared Boasen, Yuya Takeshita, Shinya Kuriki, Koichi Yokosawa
Group musical improvisation is thought to be akin to conversation, and therapeutically has been shown to be effective at improving communicativeness, sociability, creative expression, and overall psychological health. To understand these therapeutic effects, clarifying the nature of brain activity during improvisational cognition is important. Some insight regarding brain activity during improvisational music cognition has been gained via functional magnetic resonance imaging (fMRI) and electroencephalography (EEG)...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29740268/study-of-resting-state-functional-connectivity-networks-using-eeg-electrodes-position-as-seed
#13
Gonzalo M Rojas, Carolina Alvarez, Carlos E Montoya, María de la Iglesia-Vayá, Jaime E Cisternas, Marcelo Gálvez
Electroencephalography (EEG) is the standard diagnosis method for a wide variety of diseases such as epilepsy, sleep disorders, encephalopathies, and coma, among others. Resting-state functional magnetic resonance (rs-fMRI) is currently a technique used in research in both healthy individuals as well as patients. EEG and fMRI are procedures used to obtain direct and indirect measurements of brain neural activity: EEG measures the electrical activity of the brain using electrodes placed on the scalp, and fMRI detects the changes in blood oxygenation that occur in response to neural activity...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29740067/simulating-reading-acquisition-the-link-between-reading-outcome-and-multimodal-brain-signatures-of-letter-speech-sound-learning-in-prereaders
#14
Iliana I Karipidis, Georgette Pleisch, Daniel Brandeis, Alexander Roth, Martina Röthlisberger, Maya Schneebeli, Susanne Walitza, Silvia Brem
During reading acquisition, neural reorganization of the human brain facilitates the integration of letters and speech sounds, which enables successful reading. Neuroimaging and behavioural studies have established that impaired audiovisual integration of letters and speech sounds is a core deficit in individuals with developmental dyslexia. This longitudinal study aimed to identify neural and behavioural markers of audiovisual integration that are related to future reading fluency. We simulated the first step of reading acquisition by performing artificial-letter training with prereading children at risk for dyslexia...
May 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29740054/novel-bifunctional-cap-for-simultaneous-electroencephalography-and-transcranial-electrical-stimulation
#15
Sophia Wunder, Alexander Hunold, Patrique Fiedler, Falk Schlegelmilch, Klaus Schellhorn, Jens Haueisen
Neuromodulation induced by transcranial electric stimulation (TES) exhibited promising potential for clinical practice. However, the underlying mechanisms remain subject of research. The combination of TES and electroencephalography (EEG) offers great potential for investigating these mechanisms and brain function in general, especially when performed simultaneously. In conventional applications, the combination of EEG and TES suffers from limitations on the electrode level (gel for electrode-skin interface) and the usability level (preparation time, reproducibility of positioning)...
May 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29737415/spatial-temporal-dynamics-of-gesture-speech-integration-a-simultaneous-eeg-fmri-study
#16
Yifei He, Miriam Steines, Jens Sommer, Helge Gebhardt, Arne Nagels, Gebhard Sammer, Tilo Kircher, Benjamin Straube
The semantic integration between gesture and speech (GSI) is mediated by the left posterior temporal sulcus/middle temporal gyrus (pSTS/MTG) and the left inferior frontal gyrus (IFG). Evidence from electroencephalography (EEG) suggests that oscillations in the alpha and beta bands may support processes at different stages of GSI. In the present study, we investigated the relationship between electrophysiological oscillations and blood-oxygen-level-dependent (BOLD) activity during GSI. In a simultaneous EEG-fMRI study, German participants (n = 19) were presented with videos of an actor either performing meaningful gestures in the context of a comprehensible German (GG) or incomprehensible Russian sentence (GR), or just speaking a German sentence (SG)...
May 8, 2018: Brain Structure & Function
https://www.readbyqxmd.com/read/29734566/hyperbaric-oxygen-for-post-concussive-symptoms-in-united-states-military-service-members-a-randomized-clinical-trial
#17
Lindell K Weaver, Steffanie H Wilson, Anne S Lindblad, Susan Churchill, Kayla Deru, Robert C Price, Chris S Williams, William W Orrison, James M Walker, Anna Meehan, Susan Mirow
Background: In prior military randomized trials, participants with persistent symptoms after mild traumatic brain injury (TBI) reported improvement regardless of receiving hyperbaric oxygen (HBO₂) or sham intervention. This study's objectives were to identify outcomes for future efficacy trials and describe changes by intervention. Methods: This Phase II, randomized, double-blind, sham-controlled trial enrolled military personnel with mild TBI and persistent post-concussive symptoms...
March 2018: Undersea & Hyperbaric Medicine: Journal of the Undersea and Hyperbaric Medical Society, Inc
https://www.readbyqxmd.com/read/29734383/eyes-closed-hybrid-brain-computer-interface-employing-frontal-brain-activation
#18
Jaeyoung Shin, Klaus-Robert Müller, Han-Jeong Hwang
Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for patients with impaired motor functions. However, many limitations remain for BCIs in clinical use. In this study, we propose a hybrid BCI that is based on only frontal brain areas and can be operated in an eyes-closed state for end users with impaired motor and declining visual functions. In our experiment, electroencephalography (EEG) and near-infrared spectroscopy (NIRS) were simultaneously measured while 12 participants performed mental arithmetic (MA) and remained relaxed (baseline state: BL)...
2018: PloS One
https://www.readbyqxmd.com/read/29733940/a-fresh-look-at-functional-link-neural-network-for-motor-imagery-based-brain-computer-interface
#19
Imali T Hettiarachchi, Toktam Babaei, Thanh Nguyen, Chee P Lim, Saeid Nahavandi
BACKGROUND: Artificial neural networks (ANN) is one of the widely used classifiers in the brain computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly applied for BCI classifiers is the multilayer perceptron (MLP). When appropriately designed with optimal number of neuron layers and number of neurons per layer, the ANN can act as a universal approximator. However, due to the low signal-to-noise ratio of EEG signal data, overtraining problem may become an inherent issue, causing these universal approximators to fail in real-time applications...
May 4, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29724661/ifcn-endorsed-practical-guidelines-for-clinical-magnetoencephalography-meg
#20
REVIEW
Riitta Hari, Sylvain Baillet, Gareth Barnes, Richard Burgess, Nina Forss, Joachim Gross, Matti Hämäläinen, Ole Jensen, Ryusuke Kakigi, François Mauguière, Nobukatzu Nakasato, Aina Puce, Gian-Luca Romani, Alfons Schnitzler, Samu Taulu
Magnetoencephalography (MEG) records weak magnetic fields outside the human head and thereby provides millisecond-accurate information about neuronal currents supporting human brain function. MEG and electroencephalography (EEG) are closely related complementary methods and should be interpreted together whenever possible. This manuscript covers the basic physical and physiological principles of MEG and discusses the main aspects of state-of-the-art MEG data analysis. We provide guidelines for best practices of patient preparation, stimulus presentation, MEG data collection and analysis, as well as for MEG interpretation in routine clinical examinations...
April 17, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
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