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14 pages, 504 KB  
Article
NDCN-Brain: An Extensible Dynamic Functional Brain Network Model
by Zhongyang Wang, Junchang Xin, Qi Chen, Zhiqiong Wang and Xinlei Wang
Diagnostics 2022, 12(5), 1298; https://doi.org/10.3390/diagnostics12051298 - 23 May 2022
Cited by 6 | Viewed by 2648
Abstract
As an extension of the static network, the dynamic functional brain network can show continuous changes in the brain’s connections. Then, limited by the length of the fMRI signal, it is difficult to show every instantaneous moment in the construction of a dynamic [...] Read more.
As an extension of the static network, the dynamic functional brain network can show continuous changes in the brain’s connections. Then, limited by the length of the fMRI signal, it is difficult to show every instantaneous moment in the construction of a dynamic network and there is a lack of effective prediction of the dynamic changes of the network after the signal ends. In this paper, an extensible dynamic brain function network model is proposed. The model utilizes the ability of extracting and predicting the instantaneous state of the dynamic network of neural dynamics on complex networks (NDCN) and constructs a dynamic network model structure that can provide more than the original signal range. Experimental results show that every snapshot in the network obtained by the proposed method has a usable network structure and that it also has a good classification result in the diagnosis of cognitive impairment diseases. Full article
(This article belongs to the Special Issue Machine Extractable Knowledge from the Shape of Anatomical Structures)
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