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*Functional networks, but what kind? Overlapping and dynamic*
If you're new to neuroscience or to networks, here's a blog post describing how brain networks can be viewed in a more nuanced way.
https://cognitionemotion.wordpress.com/2021/01/02/what-kind-of-brain-network-overlapping-and-dynamic/
If you're new to neuroscience or to networks, here's a blog post describing how brain networks can be viewed in a more nuanced way.
https://cognitionemotion.wordpress.com/2021/01/02/what-kind-of-brain-network-overlapping-and-dynamic/
Typically networks in the brain are viewed as disjoint or non-overlapping. This means that a brain region belongs to one and only one network as in the classic Yeo networks.
But we can also partition the brain in *overlapping networks* that allow brain regions to belong to multiple networks simultaneously, so they can dynamically affiliate with different brain regions. (A) Traditional partitioning scheme; (B) overlapping.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915991/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915991/
Networks are not static, so any property they have is dynamic and should be thought of in temporal terms. The figure below is from a paper that describes that in more detail:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003711/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003711/
As an example, consider an experiment with temporally extended threat of shock. We found a reorganization of the canonical networks (default, salience, executive) as the "threat block" was experienced.
https://www.jneurosci.org/content/jneuro/34/34/11261.full.pdf
https://www.jneurosci.org/content/jneuro/34/34/11261.full.pdf
So even with fMRI, dynamic properties of networks can be studied if one focuses on temporal scales that are more aligned with the technique (slowly evolving hemodynamic responses).
