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

Revisiting the global workspace orchestrating the hierarchical organization of the human brain.
复制标题

重新审视全球工作空间,策划人脑的等级组织。

DOI:
10.1038/s41562-020-01003-6
复制
发表时间:
2021-04
影响因子:
29.9
通讯作者:
Kringelbach ML
Kringelbach ML
中科院分区:
心理学1区
文献类型:
--
作者:
Deco G;Vidaurre D;Kringelbach ML

文献摘要

参考文献

被引文献

相似文献

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,这种全脑协调是由整合的大脑区域的一个核心子集--“全球工作空间”--执行的,但其构成区域仍不清楚。我们将全球工作空间量化为七项任务和休息的共同区域,形成一个共同的“功能丰富的俱乐部”。为了确定这个功能丰富的俱乐部,我们通过应用于1003名健康参与者的多模式神经成像数据的归一化定向转移熵框架来确定大脑区域之间的信息流,并通过重测数据在参与者中进行了验证。这揭示了一组来自知觉、长期记忆、评估和注意系统的信息编排区域。我们通过系统地建立一个生成性的全脑模型,证实了我们结果的因果意义和稳健性。总体而言,这个框架描述了人脑的功能层级组织的复杂编排。德科等人。使用多模式神经成像数据,将全球工作空间量化为跨七项任务和休息的区域共同的“功能丰富俱乐部”。
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. Deco et al. use multimodal neuroimaging data to quantify the global workspace as the common ‘functional rich club’ of regions intersecting across seven tasks as well as rest.
DOI: 10.1007/s00415-016-8156-6
发表时间: 2016-08-01
影响因子: 6
作者:
Beer, A.;Biberacher, V.;Muehlau, M.
通讯作者: Muehlau, M.
DOI: 10.1038/ncomms10340
发表时间: 2016-01-21
影响因子: 16.6
作者:
Atasoy S;Donnelly I;Pearson J
通讯作者: Pearson J
DOI: 10.1111/j.2517-6161.1995.tb02031.x
发表时间: 1995-01-01
影响因子: 5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者: HOCHBERG, Y
DOI: 10.1038/s41598-017-17546-0
发表时间: 2017-12-15
期刊: Scientific reports
影响因子: 4.6
作者:
Atasoy S;Roseman L;Kaelen M;Kringelbach ML;Deco G;Carhart-Harris RL
通讯作者: Carhart-Harris RL
DOI: 10.1523/jneurosci.4892-14.2015
发表时间: 2015-09-16
影响因子: 5.3
作者:
Brovelli, Andrea;Chicharro, Daniel;Jirsa, Viktor
通讯作者: Jirsa, Viktor