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

Nanoscale - nanometer scale [2]

Mircoscale

Microscale - nanometer to micrometer scale.[2]

Mesoscale

Mesoscale - micrometer to millimeter scale.[2]

Macroscale

Macroscale - millimeter to centimeter scale.[2]

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

gollark: Whom? Do not bee an apioform.

gollark: You have previously randomly banned people for stupid reasons. That is why we will deploy apioforms.

gollark: !time <@319753218592866315>

gollark: Hey rocket, vote gibson?

gollark: Sleep or we install PHP.

References

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.
Alex Fornito. "An Introduction to Network Neuroscience: How to build, model, and analyse connectomes - 0800-10:00 | OHBM". pathlms.com. Retrieved 2020-03-11.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.

[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.

[AlexF-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.