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Cortical dynamics during psychedelic and anesthetized states induced by ketamine

Duan Li, George A. Mashour

NeuroImage April 5, 2019 DOI: 10.1016/j.neuroimage.2019.03.076 via OpenAlex

Summary

AI-generated from the abstract

Ketamine produces dose-dependent effects on the brain's spatiotemporal complexity. At a subanesthetic dose, ketamine elevates complexity relative to baseline, while an anesthetic dose initially causes alternating low and high complexity levels before stabilizing at a high level comparable to baseline. These findings reveal that ketamine-induced state transitions blend features of general anesthesia, normal consciousness, and altered states, advancing understanding of its pharmacological and neurophysiological properties.

Study at a glance

Characteristics Observational study Peer reviewed
Population Healthy volunteers
Intervention Ketamine
Dose subanesthetic and anesthetic doses
Topics Ketamine
Keywords Anesthetic Electroencephalography Neuroscience Consciousness
Citations 103
Key finding Subanesthetic ketamine elevates spatiotemporal complexity relative to baseline, while anesthetic ketamine produces alternating low and high complexity levels that eventually stabilize at baseline-like high complexity.

Abstract

Ketamine is a unique drug that has psychedelic and anesthetic properties in a dose-dependent manner. Recent studies have shown that ketamine anesthesia appears to maintain the spatiotemporal complexity of cortical activation evoked by transcranial magnetic stimulation, while a psychedelic dose of ketamine is associated with increased spontaneous magnetoencephalographic signal diversity. However, a systematic investigation of the dose-dependent effects of ketamine on cortical complexity using the same modality is required. Furthermore, it is unknown whether the complexity level stabilizes or fluctuates over time for the duration of ketamine exposure. Here we investigated the spatiotemporal complexity of spontaneous high-density scalp electroencephalography (EEG) signals in healthy volunteers during alterations of consciousness induced by both subanesthetic and anesthetic doses of ketamine. Given the fast transient spectral dynamics, especially during the gamma-burst pattern after loss of consciousness, we employed a method based on Hidden Markov modeling to classify the EEG signals into a discrete set of brain states that correlated with different behavioral states. We characterized the spatiotemporal complexity specific for each brain state as measured through the Lempel-Ziv complexity algorithm. After controlling for signal diversity due to spectral changes, we found that the subanesthetic dose of ketamine is associated with an elevated complexity level relative to baseline, while the brain activity following an anesthetic dose of ketamine is characterized by alternating low and high complexity levels until stabilizing at a high level comparable to that during baseline. Thus, spatiotemporal complexity associated with ketamine-induced state transitions has features of general anesthesia, normal consciousness, and altered states of consciousness. These results improve our understanding of the complex pharmacological, neurophysiological, and phenomenological properties of ketamine.

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