title: The Union of Shortest Path Trees of Functional Brain Networks.
abstract: 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 brain 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.
authors.affiliation: 1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , Delft, The Netherlands .
authors.forename: Jil
authors.initials: J
authors.lastname: Meier
authors.affiliation: 2 Department of Neurology, VU University Medical Center , Amsterdam, The Netherlands .
authors.forename: Prejaas
authors.initials: P
authors.lastname: Tewarie
authors.affiliation: 1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , Delft, The Netherlands .
authors.forename: Piet
authors.initials: P
authors.lastname: Van Mieghem
mesh_terms: D001921:Brain / Q000502:physiology* / Q000503:physiopathology; D001931:Brain Mapping / Q000379:methods*; D016022:Case-Control Studies; D063132:Connectome / Q000379:methods; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008959:Models, Neurological; D009103:Multiple Sclerosis / Q000503:physiopathology; D009415:Nerve Net / Q000502:physiology / Q000503:physiopathology; D009434:Neural Pathways / Q000503:physiopathology; D012146:Rest / Q000502:physiology
keywords: brain networks; functional connectivity; magnetoencephalography; multiple sclerosis; resting-state networks