{"title":"Exploring complex and integrated information during sleep.","authors":"Keiichi Onoda, Hiroyuki Akama","doi":"10.1093/nc/niae029","DOIUrl":null,"url":null,"abstract":"<p><p>The Integrated Information Theory is a theoretical framework that aims to elucidate the nature of consciousness by postulating that it emerges from the integration of information within a system, and that the degree of consciousness depends on the extent of information integration within the system. When consciousness is lost, the core complex of consciousness proposed by the Integrated Information Theory disintegrates, and Φ measures, which reflect the level of integrated information, are expected to diminish. This study examined the predictions of the Integrated Information Theory using the global brain network acquired via functional magnetic resonance imaging during various tasks and sleep. We discovered that the complex located within the frontoparietal network remained constant regardless of task content, while the regional distribution of the complex collapsed in the initial stages of sleep. Furthermore, Φ measures decreased as sleep progressed under limited analysis conditions. These findings align with predictions made by the Integrated Information Theory and support its postulates.</p>","PeriodicalId":52242,"journal":{"name":"Neuroscience of Consciousness","volume":"2024 1","pages":"niae029"},"PeriodicalIF":3.1000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11227102/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience of Consciousness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nc/niae029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PSYCHOLOGY, BIOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The Integrated Information Theory is a theoretical framework that aims to elucidate the nature of consciousness by postulating that it emerges from the integration of information within a system, and that the degree of consciousness depends on the extent of information integration within the system. When consciousness is lost, the core complex of consciousness proposed by the Integrated Information Theory disintegrates, and Φ measures, which reflect the level of integrated information, are expected to diminish. This study examined the predictions of the Integrated Information Theory using the global brain network acquired via functional magnetic resonance imaging during various tasks and sleep. We discovered that the complex located within the frontoparietal network remained constant regardless of task content, while the regional distribution of the complex collapsed in the initial stages of sleep. Furthermore, Φ measures decreased as sleep progressed under limited analysis conditions. These findings align with predictions made by the Integrated Information Theory and support its postulates.
综合信息理论(Integrated Information Theory)是一个旨在阐明意识本质的理论框架,它假定意识产生于系统内的信息整合,而意识的程度取决于系统内信息整合的程度。当意识丧失时,综合信息理论提出的意识核心复合体就会瓦解,反映综合信息水平的Φ测量值也会随之降低。本研究利用功能磁共振成像技术获取的各种任务和睡眠过程中的全脑网络,对综合信息理论的预测进行了研究。我们发现,无论任务内容如何,位于顶叶前部网络内的复合体保持不变,而在睡眠的初始阶段,复合体的区域分布会崩溃。此外,在有限的分析条件下,Φ测量值随着睡眠时间的延长而降低。这些发现与综合信息理论的预测一致,并支持其假设。