工作区
计算机科学
神经影像学
感知
神经科学
神经信息学
传递熵
楔前
人脑
集合(抽象数据类型)
人工智能
心理学
认知心理学
认知科学
认知
程序设计语言
机器人
最大熵原理
作者
Gustavo Deco,Diego Vidaurre,Morten L. Kringelbach
标识
DOI:10.1038/s41562-020-01003-6
摘要
Abstract A central challenge in neuroscience is how the brain organizes the information necessary to orchestrate behaviour. Arguably, this whole-brain orchestration is carried out by a core subset of integrative brain regions, a ‘global workspace’, but its constitutive regions remain unclear. We quantified the global workspace as the common regions across seven tasks as well as rest, in a common ‘functional rich club’. To identify this functional rich club, we determined the information flow between brain regions by means of a normalized directed transfer entropy framework applied to multimodal neuroimaging data from 1,003 healthy participants and validated in participants with retest data. This revealed a set of regions orchestrating information from perceptual, long-term memory, evaluative and attentional systems. We confirmed the causal significance and robustness of our results by systematically lesioning a generative whole-brain model. Overall, this framework describes a complex choreography of the functional hierarchical organization of the human brain.
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