Neuroscience and Mental Health Programme, Division of Neurology, Hospital for Sick Children, Institute of Medical Science and Department of Paediatrics, University of Toronto, Toronto, Canada.
Krembil Neuroscience Centre, Toronto Western Hospital, University of Toronto, Toronto, Canada.
Phys Rev E. 2017 Dec;96(6-1):062410. doi: 10.1103/PhysRevE.96.062410. Epub 2017 Dec 18.
We seek general principles of the structure of the cellular collective activity associated with conscious awareness. Can we obtain evidence for features of the optimal brain organization that allows for adequate processing of stimuli and that may guide the emergence of cognition and consciousness? Analyzing brain recordings in conscious and unconscious states, we followed initially the classic approach in physics when it comes to understanding collective behaviours of systems composed of a myriad of units: the assessment of the number of possible configurations (microstates) that the system can adopt, for which we use a global entropic measure associated with the number of connected brain regions. Having found maximal entropy in conscious states, we then inspected the microscopic nature of the configurations of connections using an adequate complexity measure and found higher complexity in states characterized not only by conscious awareness but also by subconscious cognitive processing, such as sleep stages. Our observations indicate that conscious awareness is associated with maximal global (macroscopic) entropy and with the short time scale (microscopic) complexity of the configurations of connected brain networks in pathological unconscious states (seizures and coma), but the microscopic view captures the high complexity in physiological unconscious states (sleep) where there is information processing. As such, our results support the global nature of conscious awareness, as advocated by several theories of cognition. We thus hope that our studies represent preliminary steps to reveal aspects of the structure of cognition that leads to conscious awareness.
我们寻求与意识相关的细胞集体活动结构的一般原则。我们能否获得允许对刺激进行充分处理并可能指导认知和意识出现的最佳大脑组织特征的证据?在有意识和无意识状态下分析大脑记录时,我们最初遵循了物理学中理解由无数单元组成的系统的集体行为的经典方法:评估系统可以采用的可能配置(微观状态)的数量,为此我们使用与连接的大脑区域数量相关的全局熵度量。在有意识状态下发现最大熵后,我们使用适当的复杂度度量来检查连接配置的微观性质,并发现不仅在有意识的认知处理(如睡眠阶段)中,而且在潜意识认知处理中,状态的复杂度更高。我们的观察表明,有意识的意识与宏观(宏观)熵的最大以及连接大脑网络配置的短时间尺度(微观)复杂性相关,而微观视图则捕获了生理无意识状态(睡眠)中存在信息处理的高复杂性。因此,我们的结果支持了几种认知理论所倡导的意识的全局性质。因此,我们希望我们的研究代表揭示导致意识的认知结构方面的初步步骤。