Results for 'EEG'

660 found
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  1. EEG Oscillatory States as Neuro-Phenomenology of Consciousness as Revealed From Patients in Vegetative and Minimally Conscious States.Alexander A. Fingelkurts, Andrew A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2012 - Consciousness and Cognition 21 (1):149-169.
    The value of resting electroencephalogram (EEG) in revealing neural constitutes of consciousness (NCC) was examined. We quantified the dynamic repertoire, duration and oscillatory type of EEG microstates (...)
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  2.  8
    EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.Greg Rupp, Chris Berka, Amir H. Meghdadi, Marija Stevanović Karić, Marc Casillas, Stephanie Smith, Theodore Rosenthal, Kevin McShea, Emily Sones & Thomas D. Marcotte - 2019 - Frontiers in Human Neuroscience 12.
  3.  17
    EEG Differentiation Analysis and Stimulus Set Meaningfulness.Armand Mensen, William Marshall & Giulio Tononi - 2017 - Frontiers in Psychology 8.
    A set of images can be considered as meaningfully different for an observer if they can be distinguished phenomenally from one another. Each phenomenal difference must be (...)
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  4.  18
    EEG Beta Suppression and Low Gamma Modulation Are Different Elements of Human Upright Walking.Martin Seeber, Reinhold Scherer, Johanna Wagner, Teodoro Solis-Escalante & Gernot R. Mã¼Ller-Putz - 2014 - Frontiers in Human Neuroscience 8.
  5.  4
    EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.Madiha Tariq, Pavel M. Trivailo & Milan Simic - 2018 - Frontiers in Human Neuroscience 12.
    Over recent years, brain-computer interface (BCI) has emerged as an alternative communication system between the human brain and an output device. Deciphered intents, after detecting electrical (...)signals from the human scalp, are translated into control commands used to operate external devices, computer displays and virtual objects in the real-time. BCI provides an augmentative communication by creating a muscle-free channel between the brain and the output devices, primarily for subjects having neuromotor disorders, or trauma to nervous system, notably spinal cord injuries (SCI), and subjects with unaffected sensorimotor functions but disarticulated or amputated residual limbs. This review identifies the potentials of electroencephalography (EEG) based BCI applications for locomotion and mobility rehabilitation. Patients could benefit from its advancements such as wearable lower-limb (LL) exoskeletons, orthosis, prosthesis, wheelchairs, and assistive-robot devices. The EEG communication signals employed by the aforementioned applications that also provide feasibility for future development in the field are sensorimotor rhythms (SMR), event-related potentials (ERP) and visual evoked potentials (VEP). The review is an effort to progress the development of users mental task related to LL for BCI reliability and confidence measures. As a novel contribution, the reviewed BCI control paradigms for wearable LL and assistive-robots are presented by a general control framework fitting in hierarchical layers. It reflects informatic interactions, between the user, the BCI operator, the shared controller, the robotic device and the environment. Each sub layer of the BCI operator is discussed in detail, highlighting the feature extraction, classification and execution methods employed by the various systems. All applicationskey features and their interaction with the environment are reviewed for the EEG-based activity mode recognition, and presented in form of a table. It is suggested to structure EEG-BCI controlled LL assistive devices within the presented framework, for future generation of intent-basedmultifunctional controllers. Despite the development of controllers, for BCI-based wearable or assistive devices that can seamlessly integrate user intent, practical challenges associated with such systems exist and have been discerned, which can be constructive for future developments in the field. (shrink)
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  6.  31
    EEG Manifestations of Nondual Experiences in Meditators.Amanda E. Berman & Larry Stevens - 2015 - Consciousness and Cognition 31:1-11.
  7.  19
    EEG Cortical Connectivity Analysis of Working Memory Reveals Topological Reorganization in Theta and Alpha Bands.Zhongxiang Dai, Joshua de Souza, Julian Lim, Paul M. Ho, Yu Chen, Junhua Li, Nitish Thakor, Anastasios Bezerianos & Yu Sun - 2017 - Frontiers in Human Neuroscience 11.
  8.  9
    Simultaneous EEG-NIRS Measurement of the Inferior Parietal Lobule During a Reaching Task With Delayed Visual Feedback.Takuro Zama, Yoshiyuki Takahashi & Sotaro Shimada - 2019 - Frontiers in Human Neuroscience 13.
  9.  6
    EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings.Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Nicolina Sciaraffa, Paola Lanzi, Simone Pozzi, Valeria Vignali, Claudio Lantieri, Arianna Bichicchi, Andrea Simone & Fabio Babiloni - 2018 - Frontiers in Human Neuroscience 12.
  10.  13
    EEG Microstates Analysis in Young Adults With Autism Spectrum Disorder During Resting-State.David F. D’Croz-Baron, Mary Baker, Christoph M. Michel & Tanja Karp - 2019 - Frontiers in Human Neuroscience 13.
  11.  5
    EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial.Stefanie Enriquez-Geppert, René J. Huster & Christoph S. Herrmann - 2017 - Frontiers in Human Neuroscience 11.
  12.  4
    EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies[REVIEW]Jennifer J. Newson & Tara C. Thiagarajan - 2019 - Frontiers in Human Neuroscience 12.
  13.  39
    EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patients.Rafael Ramirez, Josep Planas, Nuria Escude, Jordi Mercade & Cristina Farriols - 2018 - Frontiers in Psychology 9.
  14.  17
    EEG-Based BrainComputer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century.Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, Ioannis Kompatsiaris & Magda Tsolaki - 2018 - Frontiers in Human Neuroscience 12.
  15.  14
    EEG Markers of Visually Experienced Self-Motion.Barry Robert, Palmisano Stephen, Schira Mark, De Blasio Frances, Karamacoska Diana & MacDonald Brett - 2014 - Frontiers in Human Neuroscience 8.
  16.  7
    EEG-Based Prediction of Cognitive Load in Intelligence Tests.Nir Friedman, Tomer Fekete, Kobi Gal & Oren Shriki - 2019 - Frontiers in Human Neuroscience 13.
  17.  14
    EEG Spectral Analysis of Attention in ADHD: Implications for Neurofeedback Training?Hartmut Heinrich, Katrin Busch, Petra Studer, Karlheinz Erbe, Gunther H. Moll & Oliver Kratz - 2014 - Frontiers in Human Neuroscience 8.
  18.  8
    Resting EEG in Alpha and Beta Bands Predicts Individual Differences in Attentional Breadth.Brent Pitchford & Karen M. Arnell - 2019 - Consciousness and Cognition 75:102803.
  19.  21
    EEG Beta Oscillations in the Temporoparietal Area Related to the Accuracy in Estimating Others' Preference.Jonghyeok Park, Hackjin Kim, Jeong-Woo Sohn, Jong-Ryul Choi & Sung-Phil Kim - 2018 - Frontiers in Human Neuroscience 12.
  20.  14
    EEG Correlates of the Flow State: A Combination of Increased Frontal Theta and Moderate Frontocentral Alpha Rhythm in the Mental Arithmetic Task.Kenji Katahira, Yoichi Yamazaki, Chiaki Yamaoka, Hiroaki Ozaki, Sayaka Nakagawa & Noriko Nagata - 2018 - Frontiers in Psychology 9.
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  21.  33
    EEG Oscillation Evidences of Enhanced Susceptibility to Emotional Stimuli During Adolescence.Xianxin Meng, Wenwen Liu, Ling Zhang, Xiang Li, Bo Yao, Xinsheng Ding, JiaJin Yuan & Jiemin Yang - 2016 - Frontiers in Psychology 7.
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  22.  11
    EEG Alpha Asymmetry, Depression, and Cognitive Functioning.Ian H. Gotlib - 1998 - Cognition and Emotion 12 (3):449-478.
  23.  7
    Commentary: EEG Beta Suppression and Low Gamma Modulation Are Different Elements of Human Upright Walking.Carlos Trenado - 2015 - Frontiers in Human Neuroscience 9.
  24.  31
    Multi-Modal Integration of EEG-fNIRS for Brain-Computer InterfacesCurrent Limitations and Future Directions.Sangtae Ahn & Sung C. Jun - 2017 - Frontiers in Human Neuroscience 11.
    Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modalitys drawbacks and yield reliable results by extracting complementary (...) features. In particular, integration of electroencephalography and functional near-infrared spectroscopy is cost-effective and portable, and therefore is a fascinating approach to brain-computer interface. However, outcomes from the integration of these two modalities have yielded only modest improvement in BCI performance because of the lack of approaches to integrate the two different features. In addition, mismatch of recording locations may hinder further improvement. In this literature review, we surveyed studies of the integration of EEG/fNIRS in BCI thoroughly and discussed its current limitations. We also suggested future directions for efficient and successful multi-modal integration of EEG/fNIRS in BCI systems. (shrink)
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  25.  35
    A Pervasive Approach to EEG-Based Depression Detection.Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen & Jürg Gutknecht - 2018 - Complexity 2018:1-13.
    Nowadays, depression is the worlds major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and (...)objective approach is essential. In the present study, a psychophysiological database, containing 213 subjects, was constructed. The electroencephalogram signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe three-electrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the Kalman derivation formula, Discrete Wavelet Transformation, and an Adaptive Predictor Filter, a total of 270 linear and nonlinear features were extracted. Then, the minimal-redundancy-maximal-relevance feature selection technique reduced the dimensionality of the feature space. Four classification methods distinguished the depressed participants from normal controls. The classifiersperformances were evaluated using 10-fold cross-validation. The results showed thatK-Nearest Neighbor had the highest accuracy of 79.27%. The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. This study proves the feasibility of a pervasive three-electrode EEG acquisition system for depression diagnosis. (shrink)
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  26.  15
    Intracranial EEG Power Spectra and Phase Synchrony During Consciousness and Unconsciousness.Susan Pockett & Mark D. Holmes - 2009 - Consciousness and Cognition 18 (4):1049-1055.
    Power density spectra and phase synchrony measurements were taken from intracranial electrode grids implanted in epileptic subjects. Comparisons were made between data from the waking state and (...)
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  27.  42
    EEG-Guided Meditation: A Personalized Approach.Andrew A. Fingelkurts, Alexander A. Fingelkurts & Tarja Kallio-Tamminen - 2015 - Journal of Physiology-Paris 109 (4-6):180-190.
    The therapeutic potential of meditation for physical and mental well-being is well documented, however the possibility of adverse effects warrants further discussion of the suitability of (...)any particular meditation practice for every given participant. This concern highlights the need for a personalized approach in the meditation practice adjusted for a concrete individual. This can be done by using an objective screening procedure that detects the weak and strong cognitive skills in brain function, thus helping design a tailored meditation training protocol. Quantitative electroencephalogram (qEEG) is a suitable tool that allows identification of individual neurophysiological types. Using qEEG screening can aid developing a meditation training program that maximizes results and minimizes risk of potential negative effects. This brief theoreticalconceptual review provides a discussion of the problem and presents some illustrative results on the usage of qEEG screening for the guidance of mediation personalization. (shrink)
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  28.  28
    Oscillatory EEG Correlates of Arithmetic Strategies: A Training Study.Roland H. Grabner & Bert De Smedt - 2012 - Frontiers in Psychology 3.
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  29.  30
    Infant EEG Activity as a Biomarker for Autism: a Promising Approach or a False Promise?Richard Griffin - unknown
    The ability to determine an infants likelihood of developing autism via a relatively simple neurological measure would constitute an important scientific breakthrough. In their recent publication (...)in this journal, Bosl and colleagues claim that a measure of EEG complexity can be used to detect, with very high accuracy, infants at high risk for autism (HRA). On the surface, this appears to be that very scientific breakthrough and as such the paper has received widespread media attention. But a close look at how these high accuracy rates were derived tells a very different story. This stems from a conflation betweenhigh riskas a population-level property andhigh riskas a property of an individual. We describe the.. (shrink)
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  30.  80
    Timing in Cognition and EEG Brain Dynamics: Discreteness Versus Continuity.Andrew A. Fingelkurts & Alexander A. Fingelkurts - 2006 - Cognitive Processing 7 (3):135-162.
    This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, (...)
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  31.  16
    EEG and Eye Tracking Demonstrate Vigilance Enhancement with Challenge Integration.Indu P. Bodala, Junhua Li, Nitish V. Thakor & Hasan Al-Nashash - 2016 - Frontiers in Human Neuroscience 10.
  32.  64
    EEG Paroxysmal Gamma Waves During Bhramari Pranayama: A Yoga Breathing Technique.F. Vialatte - 2009 - Consciousness and Cognition 18 (4):977-988.
    Here we report that a specific form of yoga can generate controlled high-frequency gamma waves. For the first time, paroxysmal gamma waves were observed in eight (...)subjects practicing a yoga technique of breathing control called Bhramari Pranayama . To obtain new insights into the nature of the EEG during BhPr, we analyzed EEG signals using time-frequency representations , independent component analysis , and EEG tomography . We found that the PGW consists of high-frequency biphasic ripples. This unusual activity is discussed in relation to previous reports on yoga and meditation. It is concluded this EEG activity is most probably non-epileptic, and that applying the same methodology to other meditation recordings might yield an improved understanding of the neurocorrelates of meditation. (shrink)
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  33.  37
    The Value of Spontaneous EEG Oscillations in Distinguishing Patients in Vegetative and Minimally Conscious States.Andrew And Alexander Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2013 - In Eror Basar & et all (eds.), Application of Brain Oscillations in Neuropsychiatric Diseases. Supplements to Clinical Neurophysiology. Elsevier. pp. 81-99.
    Objective: The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states was studied. Methods: We quantified dynamic repertoire of EEG oscillations in (...)
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  34.  21
    Measuring Mental Workload with EEG+fNIRS.Haleh Aghajani, Marc Garbey & Ahmet Omurtag - 2017 - Frontiers in Human Neuroscience 11.
  35.  21
    The EEG as Confirmatory Evidence of Brain Death: Previous and Current Approaches.Robert J. Wilkus - 1980 - Journal of Medical Humanities 2 (1):39-45.
    The role of EEG in confirming the clinical diagnosis of isolated brain death has undergone evolutionary changes since the original recommendations concerning its use. Accumulated evidence now (...)
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  36.  23
    EEG Resting State Functional Connectivity in Adult Dyslexics Using Phase Lag Index and Graph Analysis.Gorka Fraga González, Dirk J. A. Smit, Melle J. W. van der Molen, Jurgen Tijms, Cornelis Jan Stam, Eco J. C. de Geus & Maurits W. van der Molen - 2018 - Frontiers in Human Neuroscience 12.
  37.  8
    Loreta Eeg Phase Reset of the Default Mode Network.Robert W. Thatcher, Duane M. North & Carl J. Biver - 2014 - Frontiers in Human Neuroscience 8.
  38.  4
    EEG Can Track the Time Course of Successful Reference Resolution in Small Visual Worlds.Christian Brodbeck, Laura Gwilliams & Liina Pylkkänen - 2015 - Frontiers in Psychology 6:1787.
    Previous research has shown that language comprehenders resolve reference quickly and incrementally, but not much is known about the neural processes and representations that are involved. Studies (...)
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  39.  59
    Autonomic and EEG Patterns During Eyes-Closed Rest and Transcendental Meditation (TM) Practice: The Basis for a Neural Model of TM Practice.Frederick Travis & R. Keith Wallace - 1999 - Consciousness and Cognition 8 (3):302-318.
    In this single-blind within-subject study, autonomic and EEG variables were compared during 10-min, order-balanced eyes-closed rest and Transcendental Meditation (TM) sessions. TM sessions were (...) distinguished by (1) lower breath rates, (2) lower skin conductance levels, (3) higher respiratory sinus arrhythmia levels, and (4) higher alpha anterior-posterior and frontal EEG coherence. Alpha power was not significantly different between conditions. These results were seen in the first minute and were maintained throughout the 10-min sessions. TM practice appears to (1) lead to a state fundamentally different than eyes-closed rest; (2) result in a cascade of events in the central and autonomic nervous systems, leading to a rapid change in state (within a minute) that was maintained throughout the TM session; and (3) be best distinguished from other conditions through autonomic and EEG alpha coherence patterns rather than alpha power. Two neural networks that may mediate these effects are suggested. The rapid shift in physiological functioning within the first minute might be mediated by a ''neural switch'' in prefrontal areas inhibiting activity in specific and nonspecific thalamocortical circuits. The resulting ''restfully alert'' state might be sustained by a basal ganglia-corticothalamic threshold regulation mechanism automatically maintaining lower levels of cortical excitability. (shrink)
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  40.  17
    Discovering the Neural Nature of Moral Cognition? Empirical, Theoretical, and Practical Challenges in Bioethical Research with Electroencephalography (EEG).Nils-Frederic Wagner, Pedro Chaves & Annemarie Wolff - 2017 - Journal of Bioethical Inquiry 14 (2):1-15.
    In this article we critically review the neural mechanisms of moral cognition that have recently been studied via electroencephalography (EEG). Such studies promise to shed new light (...)
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  41.  18
    Mapping Complex Mind States: EEG Neural Substrates of Meditative Unified Compassionate Awareness.Poppy L. A. Schoenberg, Andrea Ruf, John Churchill, Daniel P. Brown & Judson A. Brewer - 2018 - Consciousness and Cognition 57:41-53.
  42.  15
    Post-Task Effects on EEG Brain Activity Differ for Various Differential Learning and Contextual Interference Protocols.Diana Henz, Alexander John, Christian Merz & Wolfgang I. Schöllhorn - 2018 - Frontiers in Human Neuroscience 12.
  43.  91
    Psychophysics of EEG Alpha State Discrimination.Jon A. Frederick - 2012 - Consciousness and Cognition 21 (3):1345-1354.
    Nearly all research in neurofeedback since the 1960s has focused on training voluntary control over EEG constructs. By contrast, EEG state discrimination training focuses on awareness of (...)
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  44.  11
    EEG-Based Neurofeedback: The Promise of Neurotechnology and Need for Neuroethically Informed Guidelines and Policies.Herbert Plischke, Donald DuRousseau & James Giordano - 2011 - Ethics in Biology, Engineering and Medicine 2 (3):221-232.
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  45.  29
    Using Quantitative and Analytic EEG Methods in the Understanding of Connectivity in Autism Spectrum Disorders: a Theory of Mixed Over- and Under-Connectivity.Robert Coben, Iman Mohammad-Rezazadeh & Rex L. Cannon - 2014 - Frontiers in Human Neuroscience 8.
  46.  66
    The Neural and Cognitive Mechanisms of Knowledge Attribution: An EEG Study.Adam Michael Bricker - 2020 - Cognition 203:104412.
    Despite the ubiquity of knowledge attribution in human social cognition, its associated neural and cognitive mechanisms are poorly documented. A wealth of converging evidence in cognitive neuroscience (...)
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  47.  15
    EEG Activity During Administration of Low-Concentration Odors.Tyler S. Lorig, Kate B. Herman, Gary E. Schwartz & William S. Cain - 1990 - Bulletin of the Psychonomic Society 28 (5):405-408.
  48.  32
    Cuts in Action”: A HighDensity EEG Study Investigating the Neural Correlates of Different Editing Techniques in Film.Katrin S. Heimann, Sebo Uithol, Marta Calbi, Maria A. Umiltà, Michele Guerra & Vittorio Gallese - 2017 - Cognitive Science 41 (6):1555-1588.
    In spite of their striking differences with real-life perception, films are perceived and understood without effort. Cognitive film theory attributes this to the system of continuity (...)editing, a system of editing guidelines outlining the effect of different cuts and edits on spectators. A major principle in this framework is the 180° rule, a rule recommendation that, to avoid spectatorsattention to the editing, two edited shots of the same event or action should not be filmed from angles differing in a way that expectations of spatial continuity are strongly violated. In the present study, we used high-density EEG to explore the neural underpinnings of this rule. In particular, our analysis shows that cuts and edits in general elicit early ERP component indicating the registration of syntactic violations as known from language, music, and action processing. However, continuity edits and cuts-across the line differ from each other regarding later components likely to be indicating the differences in spatial remapping as well as in the degree of conscious awareness of one's own perception. Interestingly, a timefrequency analysis of the occipital alpha rhythm did not support the hypothesis that such differences in processing routes are mainly linked to visual attention. On the contrary, our study found specific modulations of the central mu rhythm ERD as an indicator of sensorimotor activity, suggesting that sensorimotor networks might play an important role. We think that these findings shed new light on current discussions about the role of attention and embodied perception in film perception and should be considered when explaining spectatorsdifferent experience of different kinds of cuts. (shrink)
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  49.  9
    Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization.Xiashuang Wang, Guanghong Gong, Ni Li & Shi Qiu - 2019 - Frontiers in Human Neuroscience 13.
  50.  5
    EEG Desynchronization is Associated with Cellular Events That Are Prerequisites for Active Behavioral States.M. Steriade - 1981 - Behavioral and Brain Sciences 4 (3):489-492.
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