Towards an information theoretical description of communication in brain networks
| Autor: | Amico, Enrico, Abbas, Kausar, Duong-Tran, Duy Anh, Tipnis, Uttara, Rajapandian, Meenusree, Chumin, Evgeny, Ventresca, Mario, Harezlak, Jaroslaw, Goñi, Joaquín |
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| Rok vydání: | 2019 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed structural topology: Path Processing Score (PPS) estimates how much the brain signal has changed or has been transformed between any two brain regions (source and target); Path Broadcasting Strength (PBS) estimates the propagation of the signal through edges adjacent to the path being assessed. We use PPS and PBS to explore communication dynamics in large-scale brain networks. We show that brain communication dynamics can be divided into three main 'communication regimes' of information transfer: absent communication (no communication happening); relay communication (information is being transferred almost intact); transducted communication (the information is being transformed). We use PBS to categorize brain regions based on the way they broadcast information. Subcortical regions are mainly direct broadcasters to multiple receivers; Temporal and frontal nodes mainly operate as broadcast relay brain stations; Visual and somato-motor cortices act as multi-channel transducted broadcasters. This work paves the way towards the field of brain network information theory by providing a principled methodology to explore communication dynamics in large-scale brain networks. Comment: 28 pages; 4 figures; 1 table; 2 supplementary figures; 2 supplementary tables |
| Databáze: | arXiv |
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