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重新审视全局工作空间,协调人类大脑的层级组织。

Revisiting the global workspace orchestrating the hierarchical organization of the human brain.

机构信息

Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain.

出版信息

Nat Hum Behav. 2021 Apr;5(4):497-511. doi: 10.1038/s41562-020-01003-6. Epub 2021 Jan 4.

DOI:10.1038/s41562-020-01003-6
PMID:33398141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8060164/
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.

摘要

神经科学的一个核心挑战是大脑如何组织协调行为所需的信息。可以说,这种全脑协调是由一个核心的整合脑区,即“全局工作空间”来执行的,但它的组成区域尚不清楚。我们在一个共同的“功能丰富俱乐部”中,将全局工作空间定义为七个任务以及休息时共有的共同区域。为了识别这个功能丰富的俱乐部,我们通过使用归一化有向转移熵框架来确定大脑区域之间的信息流,该框架适用于来自 1003 名健康参与者的多模态神经影像学数据,并在具有重测数据的参与者中进行了验证。这揭示了一组协调来自感知、长期记忆、评价和注意力系统的信息的区域。我们通过系统地损伤一个生成式全脑模型,确认了我们结果的因果意义和稳健性。总的来说,这个框架描述了人类大脑功能层次组织的复杂编排。

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