Search results for '*Electroencephalography' (try it on Scholar)

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  1. L. I. Aftanas & S. A. Golosheikin (2003). Changes in Cortical Activity in Altered States of Consciousness: The Study of Meditation by High-Resolution EEG. Human Physiology 29 (2):143-151.score: 4.0
  2. Boris Kotchoubey, Andrea Kübler, Ute Strehl, Herta Flor & Niels Birbaumer (2002). Can Humans Perceive Their Brain States? Consciousness and Cognition 11 (1):98-113.score: 4.0
    Although the brain enables us to perceive the external world and our body, it remains unknown whether brain processes themselves can be perceived. Brain tissue does not have receptors for its own activity. However, the ability of humans to acquire self-control of brain processes indicates that the perception of these processes may also be achieved by learning. In this study patients learned to control low-frequency components of their EEG: the so-called slow cortical potentials (SCPs). In particular ''probe'' sessions, the patients (...)
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  3. Claudio Babiloni, Fabrizio Vecchio, Alessandro Bultrini, Gian Luca Romani & Paolo Maria Rossini (2006). Pre- and Poststimulus Alpha Rhythms Are Related to Conscious Visual Perception: A High-Resolution EEC Study. Cerebral Cortex 16 (12):1690-1700.score: 4.0
  4. S. Makeig, T. Jung & Terrence J. Sejnowski (2000). Awareness During Drowsiness: Dynamics and Electrophysiological Correlates. Canadian Journal of Experimental Psychology 54 (4):266-273.score: 4.0
  5. M. N. Rusalova (2006). Frequency-Amplitude Characteristics of the EEG at Different Levels of Consciousness. Neuroscience and Behavioral Physiology 36 (4):351-358.score: 4.0
  6. Christopher Summerfield, Anthony Ian Jack & Adrian Philip Burgess (2002). Induced Gamma Activity is Associated with Conscious Awareness of Pattern Masked Nouns. International Journal of Psychophysiology 44 (2):93-100.score: 4.0
  7. Glenn F. Wilson, George A. Reis & Lloyd D. Tripf (2005). EEG Correlates of G-Induced Loss of Consciousness. Aviation, Space, and Environmental Medicine 76 (1):19-27.score: 4.0
  8. Adrian P. Burgess & Lia Ali (2002). Functional Connectivity of Gamma EEG Activity is Modulated at Low Frequency During Conscious Recollection. International Journal of Psychophysiology 46 (2):91-100.score: 4.0
  9. Karim Jebari (forthcoming). Brain Machine Interface and Human Enhancement – An Ethical Review. Neuroethics.score: 4.0
    Brain machine interface (BMI) technology makes direct communication between the brain and a machine possible by means of electrodes. This paper reviews the existing and emerging technologies in this field and offers a systematic inquiry into the relevant ethical problems that are likely to emerge in the following decades.
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  10. Alexander Provost, Blake Johnson, Frini Karayanidis, Scott D. Brown & Andrew Heathcote (2013). Two Routes to Expertise in Mental Rotation. Cognitive Science 37 (4).score: 4.0
    The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice, but an explanation of this plasticity remains controversial. Some researchers propose that practice speeds up the rate of a general-purpose rotation algorithm. Others maintain that performance improvements arise through the adoption of a new cognitive strategy—repeated exposure leads to rapid retrieval from memory of the required response to familiar mental rotation stimuli. In two experiments we provide support for an integrated explanation of practice effects in mental rotation (...)
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  11. P. V. Bundzen, V. V. Zagrantsev, K. G. Korotkov, P. Leisner & L. -E. Unestahl (2000). Comprehsnive Bioelectrographic Analysis of Mechanisms of the Alternative State of Consciousness. Human Physiology 26 (5):558-566.score: 4.0
  12. Jean-Michel Guérit (2005). Neurophysiological Patterns of Vegetative and Minimally Conscious States. Neuropsychological Rehabilitation. Vol 15 (3-4):357-371.score: 4.0
  13. K. Konno, Y. Katayama & T. Yamamoto (2002). Consciousness and the Intercortical Correlation Function of Electroencephalograms. In Kunio Yasue, Marj Jibu & Tarcisio Della Senta (eds.), No Matter, Never Mind. John Benjamins.score: 4.0
     
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  14. Paul L. Nunez & Ramesh Srinivasan (2006). A Theoretical Basis for Standing and Traveling Brain Waves Measured with Human EEG with Implications for an Integrated Consciousness. Clinical Neurophysiology 117 (11):2424-2435.score: 4.0
     
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  15. M. A. Richards, S. A. Koren & M. A. Persinger (2002). Circumcerebral Application of Weak Complex Magnetic Fields with Derivatives and Changes in Electroencephalographic Power Spectra Within the Theta Range: Implications for States of Consciousness. Perceptual and Motor Skills 95 (2):671-686.score: 4.0
  16. Gary E. Schwartz (2000). Individual Differences in Subtle Awareness and Levels of Awareness: Olfaction as a Model System. In Robert G. Kunzendorf & B. Alan Wallace (eds.), Individual Differences in Conscious Experience. John Benjamins.score: 4.0
     
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  17. Rolf Verleger & Piotr Jaskowski (2006). Effects of Masked Stimuli on Attention and Response Tendencies as Revealed by Event-Related EEG Potentials: Possible Application to Understanding Neglect. In Haluk Ögmen & Bruno G. Breitmeyer (eds.), The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. Mit Press.score: 4.0
  18. Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.score: 2.0
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from simple (...)
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  19. C. M. H. Nunn, Christopher J. S. Clarke & B. H. Blott (1994). Collapse of a Quantum Field May Affect Brain Function. Journal of Consciousness Studies 1:127-39.score: 2.0
    Experiments are described, using electroencephalography (EEG) and simple tests of performance, which support the hypothesis that collapse of a quantum field is of importance to the functioning of the brain. The theoretical basis of our experiments is derived from Penrose (1989) who suggested that conscious decision-making is a manifestation of the outcome of quantum computation in the brain involving collapse of some relevant wave function. He also proposed that collapse of any wave function depends on a gravitational criterion. As different (...)
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  20. Stanley Krippner (2008). Learning From the Spirits: Candomblé, Umbanda, and Kardecismo in Recife, Brazil. Anthropology of Consciousness 19 (1):1-32.score: 2.0
    Brazilian spiritistic religions have developed along elaborate historical and cultural trajectories with spirit mediumship as a central feature of ritual practice in Candomblé, Umbanda, Kardecismo, and similar groups. In these studies, several Brazilian spiritistic practitioners who worked as mediums were interviewed and, in some cases, tested with psychological measures for dissociation using the Dissociative Experiences Scale, for absorption using the Tellegen Absorption Scale, and for sexual orientation using the Kinsey Scale. Few significant gender differences were noted in these measures. In (...)
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  21. Antoine Lutz, Mental Training Enhances Attentional Stability: Neural and Behavioral Evidence.score: 2.0
    The capacity to stabilize the content of attention over time varies among individuals, and its impairment is a hallmark of several mental illnesses. Impairments in sustained attention in patients with attention disorders have been associated with increased trial-to-trial variability in reaction time and event-related potential deficits during attention tasks. At present, it is unclear whether the ability to sustain attention and its underlying brain circuitry are transformable through training. Here, we show, with dichotic listening task performance and electroencephalography, that training (...)
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  22. Paul L. Nunez (2000). Toward a Quantitative Description of Large-Scale Neocortical Dynamic Function and EEG. Behavioral and Brain Sciences 23 (3):371-398.score: 2.0
    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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  23. B. Libet, E. Wright & C. Gleason (1982). Readiness Potentials Preceding Unrestricted Spontaneous Pre-Planned Voluntary Acts. Electroencephalography and Clinical Neurophysiology 54:322-325.score: 2.0
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  24. Henda Foreid, Carla Bentes & José Pimentel (2010). The Use of Placebo as a Provocative Test in the Diagnosis of Psychogenic Non Epileptic Seizures. Neuroethics 3 (2).score: 2.0
    Psychogenic non epileptic seizures (PNES) are clinical events of psychological nature. Video-electroencephalography monitoring (V-EEGM) is a valuable method for the diagnosis of PNES and may be combined with provocative tests to induce seizures. The use of placebo in provocative tests for the diagnosis of PNES is controversial because of associated deception, and contrasts with the use of truly decreasing epileptogenic threshold techniques such as hyperventilation and photo stimulation. We present a clinical case of a pregnant woman with a past history (...)
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  25. E. Niedermeyer (1994). Consciousness: Function and Definition. Clinical Electroencephalography 25:86-93.score: 2.0
  26. Han Lee & Gregory V. Simpson (2005). Phase Locking of Single Neuron Activity to Theta Oscillations During Working Memory in Monkey Extrastriate Visual Cortex. Neuron 45:147-156.score: 2.0
    activity” has been considered to play a major role in the short-term maintenance of memories. Many studies since then have provided support for this view and greatly advanced our knowledge of the effects of stimulus type and modality on delay activity and its temporal dynamics (Funahashi et al., 1993; Fuster et al., 2000; Romo et al., 1999). In humans, working memory has also been a subject of intense investigation using scalp and intracranial electroencephalography (EEG, iEEG) as well as magnetoencephalography (MEG), (...)
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  27. A. P. Rudell & J. Hua (1996). The Recognition Potential and Conscious Awareness. Electroencephalography and Clinical Neurophysiology 98:309-318.score: 2.0
  28. J. E. Tomberg Desmedt (1995). Consciousness. Electroencephalography and Clinical Neurophysiology, Supplement 44:227-34.score: 2.0
  29. Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2013). Prognostic Value of Resting-State EEG Structure in Disentangling Vegetative and Minimally Conscious States: A Preliminary Study. Neurorehabilitation and Neural Repair 27 (4):345-354.score: 2.0
    Background: Patients in a vegetative state pose problems in diagnosis, prognosis and treatment. Currently, no prognostic markers predict the chance of recovery, which has serious consequences, especially in end-of-life decision-making. -/- Objective: We aimed to assess an objective measurement of prognosis using advanced electroencephalography (EEG). -/- Methods: EEG data (19 channels) were collected in 14 patients who were diagnosed to be persistently vegetative based on repeated clinical evaluations at 3 months following brain damage. EEG structure parameters (amplitude, duration and variability (...)
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  30. Joseph Howard Spear (2004). Cumulative Change in Scientific Production: Research Technologies and the Structuring of New Knowledge. Perspectives on Science 12 (1):55-85.score: 2.0
    : This paper seeks to contribute to the development of a sociological understanding of scientific change. It first presents a conceptual framework for defining and understanding the conditions that give rise to episodes of cumulative change (both as the selective reconstruction of events and as the patterned structuring of innovations over time and across different settings). It argues that one of the most powerful structuring mechanisms is the existence of standardized research technologies. Then, the development of electroencephalography (EEG) is presented (...)
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