Network neuroscience

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

Also, brain can be considered as a signed network and its stability, energy and balance can be explored in this form.[3]

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. Alex Fornito. "An Introduction to Network Neuroscience: How to build, model, and analyse connectomes - 0800-10:00 | OHBM". pathlms.com. Retrieved 2020-03-11.
  3. Saberi M, Khosrowabadi R, Khatibi A, Misic B, Jafari G (January 2021). "Topological impact of negative links on the stability of resting-state brain network". Scientific Reports. doi:10.1038/s41598-021-81767-7. PMC 7838299. PMID 33500525.


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