在迷幻物质的影响下,大脑功能网络的信息平价增加

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
A. Viol, G. Viswanathan, Oleksandra Soldatkina, Fernanda Palhano-Fontes, H. Onias, D. D. de Araujo, Philipp Hoevel
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引用次数: 1

摘要

意识的物理基础是当代科学试图解决的最有趣的开放性问题之一。复杂网络理论将大脑视为一个相互作用的信息系统,对理解不同心理状态下的大脑过程有很大贡献。我们通过比较个体在两种不同条件下的静息状态功能大脑网络来研究一种不寻常的心理状态:摄入迷幻饮料死藤水之前和之后。为了量化脑区连接之间的功能、统计对称性,我们计算了脑功能网络的成对信息奇偶性。与通常只考虑局部或全局尺度的定量网络分析方法不同,信息奇偶性对整个网络结构的两两统计相似性进行量化。我们发现,在迷幻药影响下,个体大脑网络的平均信息平价有所增加。值得注意的是,在迷幻影响下,所有人的边缘系统和额叶皮层区域之间的信息均等度都一贯较高。这些发现表明,在死藤水的作用下,对大脑区域活动的统计影响的相似性倾向于增加。这可以解释为维持网络功能弹性的一种机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information parity increases on functional brain networks under influence of a psychedelic substance
The physical basis of consciousness is one of the most intriguing open questions that contemporary science aims to solve. By approaching the brain as an interactive information system, complex network theory has greatly contributed to understand brain process in different states of mind. We study a non-ordinary state of mind by comparing resting-state functional brain networks of individuals in two different conditions: before and after the ingestion of the psychedelic brew Ayahuasca. In order to quantify the functional, statistical symmetries between brain region connectivity, we calculate the pairwise information parity of the functional brain networks. Unlike the usual approach to quantitative network analysis that considers only local or global scales, information parity instead quantifies pairwise statistical similarities over the entire network structure. We find an increase in the average information parity on brain networks of individuals under psychedelic influences. Notably, the information parity between regions from the limbic system and frontal cortex is consistently higher for all the individuals while under the psychedelic influence. These findings suggest that the resemblance of statistical influences between pair of brain regions activities tends to increase under Ayahuasca effects. This could be interpreted as a mechanism to maintain the network functional resilience.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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