Topological Analysis of Differential Effects of Ketamine and Propofol Anesthesia on Brain Dynamics
Thomas F. Varley, Vanessa Denny, Olaf Sporns, Alice Patania
bioRxiv Preprint Server April 4, 2020 preprint DOI: 10.1101/2020.04.04.025437 via bioRxiv
Summary
AI-generated from the abstractThe vividness of conscious experience is linked to brain dynamics. Propofol and ketamine, both anesthetics, produce different subjective states. This study examined how these drugs alter the structure of dynamic attractors reconstructed from electrical brain activity recorded from the cerebral cortex of two macaques. The awake condition showed the richest structure, visiting the most states with pronounced higher-order dynamics and the least deterministic activity. Propofol produced the most dissimilar dynamics, shifting to an impoverished, constrained, low-structure regime. Ketamine combined aspects of both: generally less complex than awake but well above propofol on almost all measures. These results offer deeper insights than typical point-measures of complexity.
Study at a glance
| Characteristics | Experimental neuroscience |
|---|---|
| Sample size | 2 |
| Population | Macaques |
| Interventions | propofol ketamine |
| Topics | Altered states of consciousness Ketamine |
| Keywords | Awareness Sentience Perception Mind Unconsciousness |
| Citations | 6 |
| Key finding | The awake condition exhibited the richest brain dynamics, propofol produced the most impoverished dynamics, and ketamine showed intermediate complexity between the two. |
Abstract
Research has found that the vividness of conscious experience is related to brain dynamics. Despite both being anesthetics, propofol and ketamine produce different subjective states: we explore the different effects of these two anaesthetics on the structure of dynamic attractors reconstructed from electrophysiological activity recorded from cerebral cortex of two macaques. We used two methods: the first embeds the recordings in a continuous high-dimensional manifold on which we use topological data analysis to infer the presence of higher-order dynamics. The second reconstruction, an ordinal partition network embedding, allows us to create a discrete state-transition network, which is amenable to information-theoretic analysis and contains rich information about state-transition dynamics. We find that the awake condition generally had the “richest” structure, visiting the most states, the presence of pronounced higher-order structures, and the least deterministic dynamics. In contrast, the propofol condition had the most dissimilar dynamics, transitioning to a more impoverished, constrained, low-structure regime. The ketamine condition, interestingly, seemed to combine aspects of both: while it was generally less complex than the awake condition, it remained well above propofol in almost all measures. These results provide provides deeper and more comprehensive insights than what is typically gained by using point-measures of complexity.