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Author Notes:

James C Pang, james.pang1@monash.edu

Luca Cocchi, luca.cocchi@qimrverghofer.edu.au

Conceptualization, Software, Formal analysis, Investigation, Visualization, Methodology, Writing - original draft, Writing – review and editing. Investigation, Writing – review and editing. Conceptualization, Resources, Supervision, Funding acquisition, Investigation, Visualization, Methodology, Writing – review and editing. Conceptualization, Resources, Funding acquisition, Investigation, Visualization, Methodology, Writing – review and editing. Conceptualization, Supervision, Funding acquisition, Investigation, Visualization, Methodology, Writing - original draft, Writing – review and editing.

The authors thank John Murray, Alex Fornito, and Luke Hearne for valuable scientific discussions. Human HCP data used for replication of results were provided by the Human Connectome Project, Wu-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience at Washington University. This work was supported by National Health and Medical Research Council grants 1144936 and 1145168 to JAR, Netherlands Organization for Scientific Research grants ALWOP.179, VIDI (452-16-015), and European Research Council Consolidator grant 101001062 to MPVDH, and National Health and Medical Research Council grants 1138711 and 2001283 to LC.

No competing interests declared.

Subject:

Research Funding:

This paper was supported by the following grants:

National Health and Medical Research Council 1144936 to James A Roberts.

National Health and Medical Research Council 1145168 to James A Roberts.

Nederlandse Organisatie voor Wetenschappelijk Onderzoek ALWOP.179 to Martijn P van den Heuvel.

Nederlandse Organisatie voor Wetenschappelijk Onderzoek VIDI (452-16-015) to Martijn P van den Heuvel.

European Research Council Consolidator grant 101001062 to Martijn P van den Heuvel.

National Health and Medical Research Council 1138711 to Luca Cocchi.

National Health and Medical Research Council 2001283 to Luca Cocchi.

Keywords:

  • brain dynamics
  • chimpanzee
  • computational modeling
  • connectome
  • evolution
  • human
  • neuroscience
  • Humans
  • Animals
  • Connectome
  • Pan troglodytes
  • Brain
  • Cognition
  • Biological Evolution
  • Primates
  • Magnetic Resonance Imaging
  • Nerve Net

Evolutionary shaping of human brain dynamics

Tools:

Journal Title:

eLife

Volume:

Volume 11

Publisher:

, Pages 1-62

Type of Work:

Article | Final Publisher PDF

Abstract:

The human brain is distinct from those of other species in terms of size, organization, and connectivity. How do structural evolutionary differences drive patterns of neural activity enabling brain function? Here, we combine brain imaging and biophysical modeling to show that the anatomical wiring of the human brain distinctly shapes neural dynamics. This shaping is characterized by a narrower distribution of dynamic ranges across brain regions compared with  that of chimpanzees, our closest living primate relatives. We find that such a narrow dynamic  range distribution supports faster integration between regions, particularly in transmodal systems. Conversely, a broad dynamic range distribution as seen in chimpanzees facilitates brain processes relying more on neural interactions within specialized local brain systems. These findings suggest that human brain dynamics have evolved to foster rapid associative processes in  service of complex cognitive functions and behavior.

Copyright information:

© 2022, Pang et al

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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