The Union of Shortest Path Trees of Functional Brain Networks

The Union of Shortest Path Trees of Functional Brain Networks

Meier, J.
Tewarie, P.
Van Mieghem, P.

Electrical Engineering, Mathematics and Computer Science

Network Architectures and Services

2015-11-30

Communication between brain regions is still insufficiently understood. Applying concepts from network science has shown to be successful in gaining insight in the functioning of the brain. Recent work has implicated that especially shortest paths in the structural brain network seem to play a major role in the communication within the brain. So far, for the functional brain network, only the average length of the shortest paths has been analyzed. In this article, we propose to construct the union of shortest path trees (USPT) as a new topology for the functional rain network. The minimum spanning tree, which has been successful in a lot of recent studies to comprise important features of the functional brain network, is always included in the USPT. After interpreting the link weights of the functional brain network as communication probabilities, the USPT of this network can be uniquely defined. Using data from magnetoencephalography, we applied the USPT as a method to find differences in the network topology of multiple sclerosis patients and healthy controls. The new concept of the USPT of the functional brain network also allows interesting interpretations and may represent the highways of the brain.

brain networks
functional connectivity
magnetoencephalography
multiple sclerosis
resting-state networks

http://resolver.tudelft.nl/uuid:7d8da179-13d8-4708-b467-e1e79fcefc51

https://doi.org/10.1089/brain.2014.0330

Mary Ann Liebert Inc. publishers

2158-0022

Brain Connectivity 2015 5(9) , 575 -581

Institutional Repository

journal article

(c) 2015 Mary Ann Liebert