Asymmetric high-order anatomical brain connectivity sculpts effective connectivity

Sokolov, Arseny A.; Zeidman, Peter; Razi, Adeel; Erb, Michael; Ryvlin, Philippe; Pavlova, Marina A.; Friston, Karl J. (2020). Asymmetric high-order anatomical brain connectivity sculpts effective connectivity. Network neuroscience, 4(3), pp. 871-890. The MIT Press 10.1162/netn_a_00150

[img]
Preview
Text
Sokolov, 2020, Asymmetric high_order anatomical brain connectivity.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (674kB) | Preview

Bridging the gap between symmetric, direct white matter brain connectivity and neural dynamics that are often asymmetric and polysynaptic may offer insights into brain architecture, but this remains an unresolved challenge in neuroscience. Here, we used the graph Laplacian matrix to simulate symmetric and asymmetric high-order diffusion processes akin to particles spreading through white matter pathways. The simulated indirect structural connectivity outperformed direct as well as absent anatomical information in sculpting effective connectivity, a measure of causal and directed brain dynamics. Crucially, an asymmetric diffusion process determined by the sensitivity of the network nodes to their afferents best predicted effective connectivity. The outcome is consistent with brain regions adapting to maintain their sensitivity to inputs within a dynamic range. Asymmetric network communication models offer a promising perspective for understanding the relationship between structural and functional brain connectomes, both in normalcy and neuropsychiatric conditions.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Sokolov, Arseny Alexandrovitsch

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2472-1751

Publisher:

The MIT Press

Language:

English

Submitter:

Chantal Kottler

Date Deposited:

17 Nov 2020 14:11

Last Modified:

18 Nov 2020 13:42

Publisher DOI:

10.1162/netn_a_00150

BORIS DOI:

10.7892/boris.147438

URI:

https://boris.unibe.ch/id/eprint/147438

Actions (login required)

Edit item Edit item
Provide Feedback