Sokolov, AA;
Zeidman, P;
Razi, A;
Erb, M;
Ryvlin, P;
Pavlova, MA;
Friston, KJ;
(2020)
Asymmetric high-order anatomical brain connectivity sculpts effective connectivity.
Network Neuroscience
, 4
(3)
pp. 871-890.
10.1162/netn_a_00150.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Asymmetric high-order anatomical brain connectivity sculpts effective connectivity |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1162/netn_a_00150 |
| Publisher version: | https://doi.org/10.1162/netn_a_00150 |
| Language: | English |
| Additional information: | Copyright © 2020 Massachusetts Institute of Technology. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode. |
| Keywords: | Effective connectivity, Structural connectivity, Network diffusion, Graph Laplacian |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10118517 |
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