Activation network improves spatiotemporal modelling of human brain communication processes

Activation network improves spatiotemporal modelling of human brain communication processes

Dynamic functional networks (DFN) have considerably advanced modelling of the brain communication processes. The prevailing implementation capitalizes on the system and network-level correlations between time series. However, this approach does not account for the continuous impact of non-dynamic de...

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Bibliographic Details
Main Authors: Xucheng Liu, Ze Wang, Shun Liu, Lianggeng Gong, Pedro A. Valdes Sosa, Benjamin Becker, Tzyy-Ping Jung, Xi-jian Dai, Feng Wan
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:NeuroImage
Subjects:
Functional MRI
Dynamic functional network connectivity
Brain network
Topological analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923006225

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http://www.sciencedirect.com/science/article/pii/S1053811923006225

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