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Giulio Tononi

Researcher at University of Wisconsin-Madison

Publications -  535
Citations -  67759

Giulio Tononi is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Non-rapid eye movement sleep & Sleep in non-human animals. The author has an hindex of 114, co-authored 511 publications receiving 58519 citations. Previous affiliations of Giulio Tononi include University of Pisa & University of Nebraska Medical Center.

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Network Properties in Transitions of Consciousness during Propofol-induced Sedation.

TL;DR: Network changes using graph theoretical analysis of high-density EEG during patient-titrated propofol-induced sedation provide novel insights into the neural correlates of these behavioural transitions and EEG signatures for monitoring the levels of consciousness under sedation.
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Characteristics of sleep slow waves in children and adolescents

TL;DR: Based on a recent thalamocortical computer model, these findings may indicate a greater synaptic strength of neurons involved in the generation of sleep slow waves in prepubertal children, compared with mature adolescents.
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Selective neuronal lapses precede human cognitive lapses following sleep deprivation

TL;DR: In this article, the authors used intracranial electrodes to record single-neuron activities and local field potentials (LFPs) in human neurosurgical patients performing a face/nonface categorization psychomotor vigilance task (PVT) over multiple experimental sessions, including a session after full-night sleep deprivation.
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Electrophysiological correlates of behavioural changes in vigilance in vegetative state and minimally conscious state

TL;DR: It is suggested that the study of sleep and homoeostatic regulation of slow wave activity may provide a complementary tool for the assessment of brain function in minimally conscious state and vegetative state patients.
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Assessing sleep consciousness within subjects using a serial awakening paradigm

TL;DR: The serial awakening paradigm allowed us to collect a large and representative sample of conscious experiences across states of being and represents a time-efficient method for the study of sleep consciousness that may prove particularly advantageous when combined with techniques such as functional MRI and high-density EEG.