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Network neuroscience

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Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of graph theory.[1]

Multiple scales of analysis for the brain

Nanoscale

Mircoscale

Mesoscale

Macroscale

Modelling brain networks as graphs

Any network can be modelled as a graph of nodes connected by edges.[2]

  • Nodes represent fundamental processing units. Nodes are recommended to be:[2]
    • Spatially constrained.
    • Intrinsically homogenous.
    • Extrinically distinct.
  • Edges represent the interaction between nodes

See also

References

  1. ^ Bassett, Danielle S; Sporns, Olaf (2017-02-23). "Network neuroscience". Nature Neuroscience. 20 (3): 353–364. doi:10.1038/nn.4502. ISSN 1097-6256. PMC 5485642. PMID 28230844.
  2. ^ a b c d e f Alex Fornito. "An Introduction to Network Neuroscience: How to build, model, and analyse connectomes - 0800-10:00 | OHBM". pathlms.com. Retrieved 2020-03-11.


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