The spectral exponent of the resting EEG indexes the presence . . . Despite the absence of responsiveness during anesthesia, conscious experience may persist However, reliable, easily acquirable and interpretable neurophysiological markers of the presence of consciousness in unresponsive states are still missing A promising marker is based on the decay-rate of the …
Beyond alpha power: EEG spatial and spectral gradients . . . Abstract Neurophysiological markers can overcome the limitations of behavioural assessments of Disorders of Consciousness (DoC) EEG alpha power emerged as a promising marker for DoC, although long-standing literature reported alpha power being sustained during anesthetic-induced unconsciousness, and reduced during dreaming and hallucinations We hypothesized that EEG power suppression caused
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Consciousness and complexity: a consilience of evidence Abstract Over the last years, a surge of empirical studies converged on complexity-related measures as reliable markers of consciousness across many different conditions, such as sleep, anesthesia, hallucinatory states, coma, and related disorders Most of these measures were independently proposed by researchers endorsing disparate frameworks and employing different methods and techniques
Quantifying arousal and awareness in altered states of . . . The authors propose an explainable consciousness indicator using deep learning to quantify arousal and awareness under sleep, anesthesia, and in patients with disorders of consciousness
Exploring effects of anesthesia on complexity . . . Abstract To investigate mechanisms underlying loss of consciousness, it is important to extend methods established in humans to rodents as well Perturbational complexity index (PCI) is a promising metric of “capacity for consciousness” and is based on a perturbational approach that allows inferring a system’s capacity for causal integration and differentiation of information These
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