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[]
Microscale[]
- 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
See also[]
- Quantitative psychology
- Talairach coordinates
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.
- ^ 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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