内容状态维度是不同类型意识神经元标记的特征。

IF 3.1 Q1 PSYCHOLOGY, BIOLOGICAL
Neuroscience of Consciousness Pub Date : 2024-07-12 eCollection Date: 2024-01-01 DOI:10.1093/nc/niae027
Pauline Pérez, Dragana Manasova, Bertrand Hermann, Federico Raimondo, Benjamin Rohaut, Tristán A Bekinschtein, Lionel Naccache, Anat Arzi, Jacobo D Sitt
{"title":"内容状态维度是不同类型意识神经元标记的特征。","authors":"Pauline Pérez, Dragana Manasova, Bertrand Hermann, Federico Raimondo, Benjamin Rohaut, Tristán A Bekinschtein, Lionel Naccache, Anat Arzi, Jacobo D Sitt","doi":"10.1093/nc/niae027","DOIUrl":null,"url":null,"abstract":"<p><p>Identifying the neuronal markers of consciousness is key to supporting the different scientific theories of consciousness. Neuronal markers of consciousness can be defined to reflect either the brain signatures underlying specific conscious content or those supporting different states of consciousness, two aspects traditionally studied separately. In this paper, we introduce a framework to characterize markers according to their dynamics in both the \"state\" and \"content\" dimensions. The 2D space is defined by the marker's capacity to distinguish the conscious states from non-conscious states (on the <i>x</i>-axis) and the content (e.g. perceived versus unperceived or different levels of cognitive processing on the <i>y</i>-axis). According to the sign of the <i>x</i>- and <i>y</i>-axis, markers are separated into four quadrants in terms of how they distinguish the state and content dimensions. We implement the framework using three types of electroencephalography markers: markers of connectivity, markers of complexity, and spectral summaries. The neuronal markers of state are represented by the level of consciousness in (i) healthy participants during a nap and (ii) patients with disorders of consciousness. On the other hand, the neuronal markers of content are represented by (i) the conscious content in healthy participants' perception task using a visual awareness paradigm and (ii) conscious processing of hierarchical regularities using an auditory local-global paradigm. In both cases, we see separate clusters of markers with correlated and anticorrelated dynamics, shedding light on the complex relationship between the state and content of consciousness and emphasizing the importance of considering them simultaneously. This work presents an innovative framework for studying consciousness by examining neuronal markers in a 2D space, providing a valuable resource for future research, with potential applications using diverse experimental paradigms, neural recording techniques, and modeling investigations.</p>","PeriodicalId":52242,"journal":{"name":"Neuroscience of Consciousness","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11246840/pdf/","citationCount":"0","resultStr":"{\"title\":\"Content-state dimensions characterize different types of neuronal markers of consciousness.\",\"authors\":\"Pauline Pérez, Dragana Manasova, Bertrand Hermann, Federico Raimondo, Benjamin Rohaut, Tristán A Bekinschtein, Lionel Naccache, Anat Arzi, Jacobo D Sitt\",\"doi\":\"10.1093/nc/niae027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Identifying the neuronal markers of consciousness is key to supporting the different scientific theories of consciousness. Neuronal markers of consciousness can be defined to reflect either the brain signatures underlying specific conscious content or those supporting different states of consciousness, two aspects traditionally studied separately. In this paper, we introduce a framework to characterize markers according to their dynamics in both the \\\"state\\\" and \\\"content\\\" dimensions. The 2D space is defined by the marker's capacity to distinguish the conscious states from non-conscious states (on the <i>x</i>-axis) and the content (e.g. perceived versus unperceived or different levels of cognitive processing on the <i>y</i>-axis). According to the sign of the <i>x</i>- and <i>y</i>-axis, markers are separated into four quadrants in terms of how they distinguish the state and content dimensions. We implement the framework using three types of electroencephalography markers: markers of connectivity, markers of complexity, and spectral summaries. The neuronal markers of state are represented by the level of consciousness in (i) healthy participants during a nap and (ii) patients with disorders of consciousness. On the other hand, the neuronal markers of content are represented by (i) the conscious content in healthy participants' perception task using a visual awareness paradigm and (ii) conscious processing of hierarchical regularities using an auditory local-global paradigm. In both cases, we see separate clusters of markers with correlated and anticorrelated dynamics, shedding light on the complex relationship between the state and content of consciousness and emphasizing the importance of considering them simultaneously. This work presents an innovative framework for studying consciousness by examining neuronal markers in a 2D space, providing a valuable resource for future research, with potential applications using diverse experimental paradigms, neural recording techniques, and modeling investigations.</p>\",\"PeriodicalId\":52242,\"journal\":{\"name\":\"Neuroscience of Consciousness\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11246840/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroscience of Consciousness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/nc/niae027\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience of Consciousness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nc/niae027","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

摘要

识别意识的神经元标记是支持不同意识科学理论的关键。意识的神经元标记既可以被定义为反映特定意识内容的大脑特征,也可以被定义为反映支持不同意识状态的大脑特征,这两个方面传统上是分开研究的。在本文中,我们引入了一个框架,根据标记在 "状态 "和 "内容 "两个维度上的动态变化来描述其特征。二维空间是由标记区分有意识状态与非有意识状态的能力(在 x 轴上)和内容(如在 y 轴上的感知与非感知或认知处理的不同水平)来定义的。根据 x 轴和 y 轴的符号,标记可按其区分状态和内容维度的方式分为四个象限。我们使用三种脑电图标记来实现这一框架:连接性标记、复杂性标记和频谱摘要。状态的神经元标记由 (i) 午睡时的健康参与者和 (ii) 意识障碍患者的意识水平来表示。另一方面,神经元的内容标记则表现为:(i) 使用视觉意识范式的健康参与者感知任务中的意识内容;(ii) 使用听觉局部-全局范式的分层规律性意识处理。在这两种情况下,我们都看到了具有相关和反相关动态的独立标记群,揭示了意识状态和意识内容之间的复杂关系,并强调了同时考虑它们的重要性。这项研究提出了一个创新框架,通过研究二维空间中的神经元标记来研究意识,为未来的研究提供了宝贵的资源,并有可能应用于不同的实验范式、神经记录技术和建模研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content-state dimensions characterize different types of neuronal markers of consciousness.

Identifying the neuronal markers of consciousness is key to supporting the different scientific theories of consciousness. Neuronal markers of consciousness can be defined to reflect either the brain signatures underlying specific conscious content or those supporting different states of consciousness, two aspects traditionally studied separately. In this paper, we introduce a framework to characterize markers according to their dynamics in both the "state" and "content" dimensions. The 2D space is defined by the marker's capacity to distinguish the conscious states from non-conscious states (on the x-axis) and the content (e.g. perceived versus unperceived or different levels of cognitive processing on the y-axis). According to the sign of the x- and y-axis, markers are separated into four quadrants in terms of how they distinguish the state and content dimensions. We implement the framework using three types of electroencephalography markers: markers of connectivity, markers of complexity, and spectral summaries. The neuronal markers of state are represented by the level of consciousness in (i) healthy participants during a nap and (ii) patients with disorders of consciousness. On the other hand, the neuronal markers of content are represented by (i) the conscious content in healthy participants' perception task using a visual awareness paradigm and (ii) conscious processing of hierarchical regularities using an auditory local-global paradigm. In both cases, we see separate clusters of markers with correlated and anticorrelated dynamics, shedding light on the complex relationship between the state and content of consciousness and emphasizing the importance of considering them simultaneously. This work presents an innovative framework for studying consciousness by examining neuronal markers in a 2D space, providing a valuable resource for future research, with potential applications using diverse experimental paradigms, neural recording techniques, and modeling investigations.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroscience of Consciousness
Neuroscience of Consciousness Psychology-Clinical Psychology
CiteScore
6.90
自引率
2.40%
发文量
16
审稿时长
19 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信