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Source modeling sleep slow waves
Slow waves are the most prominent electroencephalographic (EEG) feature of sleep. These waves arise from the synchronization of slow oscillations in the membrane potentials of millions of neurons.Expand
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Reduced sleep spindle activity in schizophrenia patients.
OBJECTIVE High-density EEG during sleep represents a powerful new tool to reveal potential abnormalities in rhythm-generating mechanisms while avoiding confounding factors associated with wakingExpand
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Sleep homeostasis and cortical synchronization: III. A high-density EEG study of sleep slow waves in humans.
STUDY OBJECTIVES The mechanisms responsible for the homeostatic decrease of slow-wave activity (SWA, defined in this study as electroencephalogram [EEG] power between 0.5 and 4.0 Hz) during sleep areExpand
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Propofol anesthesia and sleep: a high-density EEG study.
STUDY OBJECTIVES The electrophysiological correlates of anesthetic sedation remain poorly understood. We used high-density electroencephalography (hd-EEG) and source modeling to investigate theExpand
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Triggering sleep slow waves by transcranial magnetic stimulation
During much of sleep, cortical neurons undergo near-synchronous slow oscillation cycles in membrane potential, which give rise to the largest spontaneous waves observed in the normalExpand
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Thalamic dysfunction in schizophrenia suggested by whole-night deficits in slow and fast spindles.
OBJECTIVE Slow waves and sleep spindles are the two main oscillations occurring during non-REM sleep. While slow oscillations are primarily generated and modulated by the cortex, sleep spindles areExpand
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Temporal dynamics of cortical sources underlying spontaneous and peripherally evoked slow waves.
Slow waves are the most prominent electroencephalographic feature of non-rapid eye movement (NREM) sleep. During NREM sleep, cortical neurons oscillate approximately once every second between aExpand
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Reduced sleep spindle activity in schizophrenia patients
Objective: High-density EEG during sleep represents a powerful new tool to reveal potential abnormalities in rhythm-generating mechanisms while avoiding confounding factors associated with wakingExpand
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The cortical topography of local sleep.
In a recent series of experiments, we demonstrated that a visuomotor adaptation task, 12 hours of left arm immobilization, and rapid transcranial magnetic stimulation (rTMS) during waking can eachExpand
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Functional connectivity in slow‐wave sleep: identification of synchronous cortical activity during wakefulness and sleep using time series analysis of electroencephalographic data
Sleep is a behavioral state ideal for studying functional connectivity because it minimizes many sources of between‐subject variability that confound waking analyses. This is particularly importantExpand
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