4.7 Article

Dynamic primitives of brain network interaction

Journal

NEUROIMAGE
Volume 250, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2022.118928

Keywords

-

Funding

  1. Swiss National Supercomputing Center CSCS [ich10, ich12]
  2. Gauss Centre for Supercomputing e.V.
  3. H2020 Research and Innovation Action grants Human Brain Project [SGA2 785907, SGA3 945539]
  4. VirtualBrainCloud [826421]
  5. ERC [683049]
  6. Berlin Institute of Health & Foundation Charite
  7. Johanna Quandt Excellence Initiative
  8. European Union's Horizon 2020 research and innovation programme through the ICEI project [800858]
  9. German Research Foundation [SFB 1436, 425899996, SFB 1315, 327654276, SFB 936, 178316478, SFB-TRR 295, 424778381]
  10. SPP Computational Connectomics [RI 2073/6-1, RI 2073/10-2, RI 2073/9-1]
  11. Singapore National Research Foundation (NRF)
  12. NUS Yong Loo Lin School of Medicine [NUH-SRO/2020/124/TMR/LOA]
  13. Singapore National Medical Research Council (NMRC) LCG [OFLCG19May-0035]
  14. United States National Institutes of Health [R01MH120080]
  15. European Research Council (ERC) [683049] Funding Source: European Research Council (ERC)

Ask authors/readers for more resources

Functional connectivity and functional connectivity dynamics are used to represent the patterns and dynamics of functional brain networks. Synchronized oscillations emerge from coupled neural populations in brain network models, resulting in intermittently synchronized slow oscillations underlying functional connectivity. Integrative brain models that connect separate mechanisms and cognitive function are needed.
What dynamic processes underly functional brain networks? Functional connectivity (FC) and functional connectivity dynamics (FCD) are used to represent the patterns and dynamics of functional brain networks. FC(D) is related to the synchrony of brain activity: when brain areas oscillate in a coordinated manner this yields a high correlation between their signal time series. To explain the processes underlying FC(D) we review how synchronized oscillations emerge from coupled neural populations in brain network models (BNMs). From detailed spiking networks to more abstract population models, there is strong support for the idea that the brain operates near critical instabilities that give rise to multistable or metastable dynamics that in turn lead to the intermittently synchronized slow oscillations underlying FC(D). We explore further consequences from these fundamental mechanisms and how they fit with reality. We conclude by highlighting the need for integrative brain models that connect separate mechanisms across levels of description and spatiotemporal scales and link them with cognitive function.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available