Results for 'EEG'

861 found
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  1.  49
    Space for interference.Per Gunnar Eeg-Tverbakk & Kjetil A. Jakobsen - 2011 - Empedocles: European Journal for the Philosophy of Communication 2 (1):19-39.
    The article presents and discusses an ongoing fellowship project entitled ‘Space for Interference’, conducted under the Norwegian Programme for Research Fellowships in the Arts. Two concrete site-specific art projects produced under Space for Interference serve as a point of departure for an investigation into methods of interference and the forms of address that artists use when intervening in other specialized fields in society. The institutions that provide the site for an art project have different social functions. We ask what may (...)
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  2.  10
    Describing Sensory Experience: The Genre of Wine Reviews.Carita Paradis & Mats Eeg-Olofsson - 2013 - Metaphor and Symbol 28 (1):22-40.
    The purpose of the article is to shed light on how experiences of sensory perceptions in the domains of vision, smell, taste, and touch are recast into text and discourse in the genre of wine reviews. Because of the alleged paucity of sensory vocabularies, in particular in the olfactory domain, it is of particular interest to investigate what resources language has to offer in order to describe those experiences. We show that the main resources are, on the one hand, words (...)
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  3. 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 in eyes-closed rest in relation to the degree of expression of clinical self-consciousness. For NCC a model was suggested that contrasted normal, severely disturbed state of consciousness and state without consciousness. Patients with disorders of consciousness were used. Results suggested that the repertoire, duration and oscillatory type of EEG microstates in resting condition quantitatively (...)
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  4.  85
    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 resting condition with closed eyes in patients in vegetative and minimally conscious states (VS and MCS). The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns. Results: The probability of delta, theta and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only (...)
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  5.  23
    EEG Correlates of Moral Decision-Making: Effect of Choices and Offers Types.Giulia Fronda, Laura Angioletti & Michela Balconi - 2024 - American Journal of Bioethics Neuroscience 15 (3):191-205.
    Background Moral decision-making consists of a complex process requiring individuals to evaluate potential consequences of personal and social decisions, including applied organizational contexts.Methods This research aims to investigate the behavioral (offer responses and reaction times, RTs) and electrophysiological (EEG) correlates underlying moral decision-making during three different choice conditions (professional fit, company fit, and social fit) and offers (fair, unfair, and neutral).Results An increase of delta and theta frontal activity (related to emotional behavior and processes) and beta frontal and central activity (...)
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  6.  47
    Time course of EEG oscillations during repeated listening of a well-known aria.Lutz Jäncke, Jürg Kühnis, Lars Rogenmoser & Stefan Elmer - 2015 - Frontiers in Human Neuroscience 9:141531.
    While previous studies have analyzed mean neurophysiological responses to musical stimuli, the current study aimed to identify specific time courses of electroencephalography (EEG) oscillations, which are associated with dynamic changes in the acoustic features of the musical stimulus. In addition, we were interested in whether these time courses change during a repeated presentation of the same musical piece. A total of 16 subjects repeatedly listened to the well-known aria “Nessun dorma,” sung by Paul Potts, while continuous 128-channel EEG and heart (...)
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  7.  25
    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 12:414382.
    Car driving is considered a very complex activity, consisting of different concomitant tasks and subtasks, thus it is crucial to understand the impact of different factors, such as road complexity, traffic, dashboard devices, and external events on the driver’s behavior and performance. For this reason, in particular situations the cognitive demand experienced by the driver could be very high, inducing an excessive experienced mental workload and consequently an increasing of error commission probability. In this regard, it has been demonstrated that (...)
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  8.  26
    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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  9.  20
    A Literature Review of EEG-Based Affective Computing in Marketing.Guanxiong Pei & Taihao Li - 2021 - Frontiers in Psychology 12:602843.
    Affect plays an important role in the consumer decision-making process and there is growing interest in the development of new technologies and computational approaches that can interpret and recognize the affects of consumers, with benefits for marketing described in relation to both academia and industry. From an interdisciplinary perspective, this paper aims to review past studies focused on electroencephalography (EEG)-based affective computing (AC) in marketing, which provides a promising avenue for studying the mechanisms underlying affective states and developing recognition computational (...)
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  10. 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, with an emphasis on the framework of Operational Architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts, 2001, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, based (...)
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  11.  38
    Infant EEG activity as a biomarker for autism: a promising approach or a false promise?Richard Griffin - unknown
    The ability to determine an infant’s 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 (...)
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  12.  9
    EEG Delta/Theta Ratio and Microstate Analysis Originating Novel Biomarkers for Malnutrition-Inflammation Complex Syndrome in ESRD Patients.Tirapoot Jatupornpoonsub, Paramat Thimachai, Ouppatham Supasyndh & Yodchanan Wongsawat - 2022 - Frontiers in Human Neuroscience 15.
    The Malnutrition-Inflammation Score was initially proposed to evaluate malnutrition-inflammation complex syndrome in end-stage renal disease patients. Although MICS should be routinely evaluated to reduce the hospitalization and mortality rate of ESRD patients, the inconvenience of the MIS might limit its use. Cerebral complications in ESRD, possibly induced by MICS, were previously assessed by using spectral electroencephalography via the delta/theta ratio and microstate analysis. Correspondingly, EEG could be used to directly assess MICS in ESRD patients, but the relationships among MICS and (...)
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  13.  23
    Sensorimotor EEG rhythms and their connection to local/global neocortical dynamic theory.Colin Andrew - 2000 - Behavioral and Brain Sciences 23 (3):399-400.
    The EEG activity recorded from the human sensorimotor cortical area exhibits rhythmic activity covering a broad range of frequencies, including alpha, mu, beta, and gamma (40-Hz) rhythms. This commentary elaborates on connections between these sensorimotor rhythms and Nunez's neocortical dynamic theory.
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  14.  18
    Editorial: EEG/MEG based diagnosis for psychiatric disorders.Junpeng Zhang, Jing Xiang, Lizhu Luo & Rui Shui - 2022 - Frontiers in Human Neuroscience 16:1061176.
    e understanding of the etiology and pathogenesis of these psyc hiatric disorders such as schizophrenia and depression is still n ot completely clear. At present, there is a lack of objective ne urobiological markers that can be used in clinical routine work such as clinical diagnosis, curative effect evaluation and progn osis evaluation of psychiatric disorders. Therefore, it is of great clinical significance to find biomarkers to improve the diagnos is level and evaluate the curative effect. Electroencephalogram (EEG) is a (...)
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  15.  22
    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 (...)
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  16. 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 (...)
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  17.  60
    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. (...)
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  18.  9
    An EEG Neurofeedback Interactive Model for Emotional Classification of Electronic Music Compositions Considering Multi-Brain Synergistic Brain-Computer Interfaces.Mingxing Liu - 2022 - Frontiers in Psychology 12:799132.
    This paper presents an in-depth study and analysis of the emotional classification of EEG neurofeedback interactive electronic music compositions using a multi-brain collaborative brain-computer interface (BCI). Based on previous research, this paper explores the design and performance of sound visualization in an interactive format from the perspective of visual performance design and the psychology of participating users with the help of knowledge from various disciplines such as psychology, acoustics, aesthetics, neurophysiology, and computer science. This paper proposes a specific mapping model (...)
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  19.  39
    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 supported by some neurophysiological differences. Differentiation analysis aims to quantify neurophysiological differentiation evoked by a given set of stimuli to assess its meaningfulness to the individual observer. As a proof of concept using high-density EEG, we show increased neurophysiological differentiation for a set of natural, meaningfully different images in contrast to another set of (...)
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  20.  14
    Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review.Rebecca Strafella, Robert Chen, Tarek K. Rajji, Daniel M. Blumberger & Daphne Voineskos - 2022 - Frontiers in Human Neuroscience 16:940759.
    Electroencephalography (EEG) is a non-invasive method to identify markers of treatment response in major depressive disorder (MDD). In this review, existing literature was assessed to determine how EEG markers change with different modalities of MDD treatments, and to synthesize the breadth of EEG markers used in conjunction with MDD treatments. PubMed and EMBASE were searched from 2000 to 2021 for studies reporting resting EEG (rEEG) and transcranial magnetic stimulation combined with EEG (TMS-EEG) measures in patients undergoing MDD treatments. The search (...)
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  21.  59
    Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study.Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2016 - The Open Neuroimaging Journal 10:69-79.
    Electroencephalogram (EEG) recordings are increasingly used to evaluate patients with disorders of consciousness (DOC) or assess their prognosis outcome in the short-term perspective. However, there is a lack of information concerning the effectiveness of EEG in classifying long-term (many years) outcome in chronic DOC patients. Here we tested whether EEG operational architectonics parameters (geared towards consciousness phenomenon detection rather than neurophysiological processes) could be useful for distinguishing a very long-term (6 years) clinical outcome of DOC patients whose EEGs were registered (...)
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  22. EEG analysis.Fernando H. Lopes da Silva & Jan Pieter Pijn - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press.
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  23. EEG characteristics of impaired attention accompanying secobarbital and chlorpromazine administration in monkeys.Allan F. Mirsky & E. Bakay Pragay - 1970 - In David I. Mostofsky (ed.), Attention: Contemporary Theory and Analysis. Appleton-Century-Crofts. pp. 403--417.
  24.  22
    The EEG data indicate stochastic nonlinearity.Walter S. Pritchard - 1996 - Behavioral and Brain Sciences 19 (2):308-308.
    Wright & Liley contrast their theory that the global dynamics of the EEG are linear with that of Freeman, who hypothesizes an EEG governed by (nonlinear) deterministic-chaotic dynamics. A “call for further discussion” on the part of the authors is made as to how either theory fits with experimental findings indicating that EEG dynamics are non-linear but stochastic.
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  25.  28
    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.
  26.  62
    Hybrid eeg-fnirs bci fusion using multi-resolution singular value decomposition.Muhammad Umer Khan & Mustafa A. H. Hasan - 2020 - Frontiers in Human Neuroscience 14.
    Brain-computer interface multi-modal fusion has the potential to generate multiple commands in a highly reliable manner by alleviating the drawbacks associated with single modality. In the present work, a hybrid EEG-fNIRS BCI system—achieved through a fusion of concurrently recorded electroencephalography and functional near-infrared spectroscopy signals—is used to overcome the limitations of uni-modality and to achieve higher tasks classification. Although the hybrid approach enhances the performance of the system, the improvements are still modest due to the lack of availability of computational (...)
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  27.  22
    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 13:442959.
    We investigated whether the inferior parietal lobule (IPL) responds in real-time to multisensory inconsistency during movement. The IPL is thought to be involved in both the detection of inconsistencies in multisensory information obtained during movement and that obtained during self-other discrimination. However, because of the limited temporal resolution of conventional neuroimaging techniques, it is difficult to distinguish IPL activity during movement from that during self-other discrimination. We simultaneously conducted electroencephalography (EEG) and near-infrared spectroscopy (NIRS) with the goal of examining IPL (...)
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  28.  14
    EEG Frequency Changes Prior to Making Errors in an Easy Stroop Task.Rachel Atchley, Daniel Klee & Barry Oken - 2017 - Frontiers in Human Neuroscience 11.
  29. EEG Correlates of Involuntary Cognitions in the Reflexive Imagery Task.Wei Dou, Allison K. Allen, Hyein Cho, Sabrina Bhangal, Alexander J. Cook, Ezequiel Morsella & Mark W. Geisler - 2020 - Frontiers in Psychology 11:499530.
    The Reflexive Imagery Task (RIT) reveals that the activation of sets can result in involuntary cognitions that are triggered by external stimuli. In the basic RIT, subjects are presented with an image of an object (e.g., CAT) and instructed to not think of the name of the object. Involuntary subvocalizations of the name (the RIT effect) arise on roughly 80% of the trials. We conducted an electroencephalography (EEG) study to explore the neural correlates of the RIT effect. Subjects were presented (...)
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  30.  27
    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.
  31.  24
    EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training.Gege Zhan, Shugeng Chen, Yanyun Ji, Ying Xu, Zuoting Song, Junkongshuai Wang, Lan Niu, Jianxiong Bin, Xiaoyang Kang & Jie Jia - 2022 - Frontiers in Human Neuroscience 16.
    Traditional rehabilitation strategies become difficult in the chronic phase stage of stroke prognosis. Brain–computer interface combined with external devices may improve motor function in chronic stroke patients, but it lacks comprehensive assessments of neurological changes regarding functional rehabilitation. This study aimed to comprehensively and quantitatively investigate the changes in brain activity induced by BCI–FES training in patients with chronic stroke. We analyzed the EEG of two groups of patients with chronic stroke, one group received functional electrical stimulation rehabilitation training and (...)
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  32.  22
    EEG Alpha Asymmetry, Depression, and Cognitive Functioning.Ian H. Gotlib - 1998 - Cognition and Emotion 12 (3):449-478.
  33.  98
    Oscillatory EEG Correlates of Arithmetic Strategies: A Training Study.Roland H. Grabner & Bert De Smedt - 2012 - Frontiers in Psychology 3.
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  34.  50
    Detection of EEG-resting state independent networks by eLORETA-ICA method.Yasunori Aoki, Ryouhei Ishii, Roberto D. Pascual-Marqui, Leonides Canuet, Shunichiro Ikeda, Masahiro Hata, Kaoru Imajo, Haruyasu Matsuzaki, Toshimitsu Musha, Takashi Asada, Masao Iwase & Masatoshi Takeda - 2015 - Frontiers in Human Neuroscience 9:111175.
    Recent fMRI studies have shown that functional networks can be extracted even from resting state data, the so called “resting state networks” (RSNs) by applying independent component analysis (ICA). However, compared to fMRI, EEG and MEG have much higher temporal resolution and provide a direct estimation of cortical activity. To date, MEG studies have applied ICA for separate frequency bands only, disregarding cross-frequency couplings. In this study, we aimed to detect EEG-RSNs and their interactions in all frequency bands. We applied (...)
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  35.  58
    Graph Analysis of EEG Functional Connectivity Networks During a Letter-Speech Sound Binding Task in Adult Dyslexics.Gorka Fraga-González, Dirk J. A. Smit, Melle J. W. Van der Molen, Jurgen Tijms, Cornelis J. Stam, Eco J. C. De Geus & Maurits W. Van der Molen - 2021 - Frontiers in Psychology 12:767839.
    We performed an EEG graph analysis on data from 31 typical readers (22.27 ± 2.53 y/o) and 24 dyslexics (22.99 ± 2.29 y/o), recorded while they were engaged in an audiovisual task and during resting-state. The task simulates reading acquisition as participants learned new letter-sound mappings via feedback. EEG data was filtered for the delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), and beta (13–30 Hz) bands. We computed the Phase Lag Index (PLI) to provide an estimate of the (...)
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  36. 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 subjective correlates of EEG states. This study presents the first successful replication of EEG alpha state discrimination first reported by Kamiya . A 150-s baseline was recorded in 106 participants. During the task, low triggered a prompt. Participants indicated “high” or “low” with a keypress response and received immediate feedback. Seventy-five percent of participants (...)
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  37.  53
    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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  38.  90
    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.
  39.  11
    EEG-Based Spectral Analysis Showing Brainwave Changes Related to Modulating Progressive Fatigue During a Prolonged Intermittent Motor Task.Easter S. Suviseshamuthu, Vikram Shenoy Handiru, Didier Allexandre, Armand Hoxha, Soha Saleh & Guang H. Yue - 2022 - Frontiers in Human Neuroscience 16.
    Repeatedly performing a submaximal motor task for a prolonged period of time leads to muscle fatigue comprising a central and peripheral component, which demands a gradually increasing effort. However, the brain contribution to the enhancement of effort to cope with progressing fatigue lacks a complete understanding. The intermittent motor tasks closely resemble many activities of daily living, thus remaining physiologically relevant to study fatigue. The scope of this study is therefore to investigate the EEG-based brain activation patterns in healthy subjects (...)
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  40.  30
    Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures.Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid & Joseph Picone - 2019 - Frontiers in Human Neuroscience 13:390744.
    Brain monitoring combined with automatic analysis of EEGs provides a clinical decision support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring applications (e.g., neurological intensive care units). Clinicians have indicated that a sensitivity of 95% with specificity below 5% was the minimum requirement for clinical acceptance. In this study, a high-performance automated EEG analysis system based on principles of machine learning and big data is proposed. This hybrid architecture integrates hidden Markov models (HMMs) for sequential (...)
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  41.  24
    EEG-Based Prediction of Cognitive Load in Intelligence Tests.Nir Friedman, Tomer Fekete, Kobi Gal & Oren Shriki - 2019 - Frontiers in Human Neuroscience 13.
  42.  35
    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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  43. Quantitative eeg during different levels of performance on a vigilance task.Je da ValentinoArruda, Sm Gold, Md Weiler, M. Riedford & L. Teixeira - 1991 - Bulletin of the Psychonomic Society 29 (6):513-514.
     
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  44.  34
    EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect.Amabilis H. Harrison, Michael D. Noseworthy, James P. Reilly, Weiguang Guan & John F. Connolly - 2017 - Consciousness and Cognition 48:104-116.
  45. Eeg effects of midazolam in surgical patients under epidural anesthesia.Karel Kuizenga & Pim J. Hennis - 1993 - In P. S. Sebel, B. Bonke & E. Winograd (eds.), Memory and Awareness in Anesthesia. Prentice-Hall. pp. 296.
     
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  46. Newborn EEG seizure detection using signal structural complexity.L. Rankine, M. Mesbah & B. Boashash - 2004 - Complexity 500:15.
     
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  47.  44
    Identifying changes in EEG information transfer during drowsy driving by transfer entropy.Chih-Sheng Huang, Nikhil R. Pal, Chun-Hsiang Chuang & Chin-Teng Lin - 2015 - Frontiers in Human Neuroscience 9:160159.
    Drowsy driving is a major cause of automobile accidents. Previous studies used neuroimaging based approaches such as analysis of electroencephalogram (EEG) activities to understand the brain dynamics of different cortical regions during drowsy driving. However, the coupling between brain regions responding to this vigilance change is still unclear. To have a comprehensive understanding of neural mechanisms underlying drowsy driving, in this study we use transfer entropy, a model-free measure of effective connectivity based on information theory. We investigate the pattern of (...)
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  48. Toward a quantitative description of large-scale neocortical dynamic function and EEG.Paul L. Nunez - 2000 - Behavioral and Brain Sciences 23 (3):371-398.
    A general conceptual framework for large-scale neocortical dynamics based on data from many laboratories is applied to a variety of experimental designs, spatial scales, and brain states. Partly distinct, but interacting local processes (e.g., neural networks) arise from functional segregation. Global processes arise from functional integration and can facilitate (top down) synchronous activity in remote cell groups that function simultaneously at several different spatial scales. Simultaneous local processes may help drive (bottom up) macroscopic global dynamics observed with electroencephalography (EEG) or (...)
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  49.  23
    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 of visual short-term memory suggest that access to the representation of an item from a previously seen display is associated with a negative evoked potential at posterior electrodes contralateral to the spatial location of that item in the display. In this paper we demonstrate that resolving the reference of a noun phrase in a (...)
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  50.  15
    EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications.Gianluca Di Flumeri, Vincenzo Ronca, Andrea Giorgi, Alessia Vozzi, Pietro Aricò, Nicolina Sciaraffa, Hong Zeng, Guojun Dai, Wanzeng Kong, Fabio Babiloni & Gianluca Borghini - 2022 - Frontiers in Human Neuroscience 16.
    Human errors are widely considered among the major causes of road accidents. Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and permanent injuries are directly related to mental tiredness, fatigue, and drowsiness of the drivers. In particular, driving drowsiness is recognized as a crucial aspect in the context of road safety, since drowsy drivers can suddenly lose control of the car. Moreover, the driving drowsiness episodes mostly appear suddenly without any prior behavioral evidence. The present (...)
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