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

Author

Listed:
  • Gustavo Deco

    (Universitat Pompeu Fabra
    Institució Catalana de la Recerca i Estudis Avançats (ICREA)
    Max Planck Institute for Human Cognitive and Brain Sciences
    Monash University)

  • Diego Vidaurre

    (University of Oxford
    Aarhus University)

  • Morten L. Kringelbach

    (University of Oxford
    University of Oxford
    Aarhus University)

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.

Suggested Citation

  • Gustavo Deco & Diego Vidaurre & Morten L. Kringelbach, 2021. "Revisiting the global workspace orchestrating the hierarchical organization of the human brain," Nature Human Behaviour, Nature, vol. 5(4), pages 497-511, April.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:4:d:10.1038_s41562-020-01003-6
    DOI: 10.1038/s41562-020-01003-6
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    References listed on IDEAS

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    1. Gustavo Deco & Josephine Cruzat & Morten L. Kringelbach, 2019. "Brain songs framework used for discovering the relevant timescale of the human brain," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    2. Matthew F. Glasser & Timothy S. Coalson & Emma C. Robinson & Carl D. Hacker & John Harwell & Essa Yacoub & Kamil Ugurbil & Jesper Andersson & Christian F. Beckmann & Mark Jenkinson & Stephen M. Smith , 2016. "A multi-modal parcellation of human cerebral cortex," Nature, Nature, vol. 536(7615), pages 171-178, August.
    3. Klaus H. Maier-Hein & Peter F. Neher & Jean-Christophe Houde & Marc-Alexandre Côté & Eleftherios Garyfallidis & Jidan Zhong & Maxime Chamberland & Fang-Cheng Yeh & Ying-Chia Lin & Qing Ji & Wilburn E., 2017. "The challenge of mapping the human connectome based on diffusion tractography," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    4. Hinich Melvin J & Mendes Eduardo M & Stone Lewi, 2005. "Detecting Nonlinearity in Time Series: Surrogate and Bootstrap Approaches," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-15, December.
    5. Selen Atasoy & Isaac Donnelly & Joel Pearson, 2016. "Human brain networks function in connectome-specific harmonic waves," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
    6. Matthieu Gilson & Ruben Moreno-Bote & Adrián Ponce-Alvarez & Petra Ritter & Gustavo Deco, 2016. "Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome," PLOS Computational Biology, Public Library of Science, vol. 12(3), pages 1-30, March.
    7. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    8. Diego Vidaurre & Laurence T. Hunt & Andrew J. Quinn & Benjamin A. E. Hunt & Matthew J. Brookes & Anna C. Nobre & Mark W. Woolrich, 2018. "Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
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    Cited by:

    1. Hyunwoo Jang & George A. Mashour & Anthony G. Hudetz & Zirui Huang, 2024. "Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep in humans," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Ang Li & Haiyang Liu & Xu Lei & Yini He & Qian Wu & Yan Yan & Xin Zhou & Xiaohan Tian & Yingjie Peng & Shangzheng Huang & Kaixin Li & Meng Wang & Yuqing Sun & Hao Yan & Cheng Zhang & Sheng He & Ruquan, 2023. "Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    3. L. Bonetti & G. Fernández-Rubio & F. Carlomagno & M. Dietz & D. Pantazis & P. Vuust & M. L. Kringelbach, 2024. "Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding," Nature Communications, Nature, vol. 15(1), pages 1-23, December.

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