Topographic Reconfiguration of Local and Shared Information in Anesthetic-Induced Unconsciousness
Heonsoo Lee, Zirui Huang, Xiaolin Liu, UnCheol Lee, Anthony G. Hudetz
Entropy July 10, 2018 DOI: 10.3390/e20070518 (opens in new tab) via DOAJ
Summary
AI-generated from the abstractPermutation entropy (PE) and symbolic mutual information (SMI) analysis of fMRI data from 15 healthy participants under propofol sedation reveals that anesthesia differentially affects local and shared brain information. Global PE decreased from wakefulness to deep (unconscious) sedation and increased upon recovery, with greater reduction in subcortical than cortical networks. SMI's spatial pattern (topographic structure) reconfigures during unconsciousness, and the positive correlation between PE and SMI seen in conscious states is disrupted in deep sedation. PE changes preferentially occur in highly connected hub regions. These results suggest that altered local and shared information exchange is a mechanistic indicator of anesthetic-induced unconsciousness.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Sample size | 15 |
| Population | Healthy participants |
| Intervention | Propofol |
| Keywords | Permutation entropy Mutual information Functional connectivity Anesthesia Consciousness |
| Key finding | Propofol-induced unconsciousness is associated with decreased global permutation entropy, differential reduction of entropy in subcortical versus cortical networks, reconfiguration of symbolic mutual information's topographic structure, and disruption of the positive correlation between local and shared information. |
Abstract
Theoretical consideration predicts that the alteration of local and shared information in the brain is a key element in the mechanism of anesthetic-induced unconsciousness. Ordinal pattern analysis, such as permutation entropy (PE) and symbolic mutual information (SMI), have been successful in quantifying local and shared information in neurophysiological data; however, they have been rarely applied to altered states of consciousness, especially to data obtained with functional magnetic resonance imaging (fMRI). PE and SMI analysis, together with the superb spatial resolution of fMRI recording, enables us to explore the local information of specific brain areas, the shared information between the areas, and the relationship between the two. Given the spatially divergent action of anesthetics on regional brain activity, we hypothesized that anesthesia would differentially influence entropy (PE) and shared information (SMI) across various brain areas, which may represent fundamental, mechanistic indicators of loss of consciousness. FMRI data were collected from 15 healthy participants during four states: wakefulness (W), light (conscious) sedation (L), deep (unconscious) sedation (D), and recovery (R). Sedation was produced by the common, clinically used anesthetic, propofol. Firstly, we found that that global PE decreased from W to D, and increased from D to R. The PE was differentially affected across the brain areas; specifically, the PE in the subcortical network was reduced more than in the cortical networks. Secondly, SMI was also differentially affected in different areas, as revealed by the reconfiguration of its spatial pattern (topographic structure). The topographic structures of SMI in the conscious states W, L, and R were distinctively different from that of the unconscious state D. Thirdly, PE and SMI were positively correlated in W, L, and R, whereas this correlation was disrupted in D. And lastly, PE changes occurred preferentially in highly connected hub regions. These findings advance our understanding of brain dynamics and information exchange, emphasizing the importance of topographic structure and the relationship of local and shared information in anesthetic-induced unconsciousness.