TY - GEN
T1 - Using Statistical Distribution to Identify the Influence Connections in Brain Networks
AU - Mao, Haodi
AU - Wu, Xing
AU - Wang, Jianjia
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Functional connectivity is a widely used method to explore the connections among different regions in the brain. However, it is still a challenge to extract structures from multiple similar brain networks that can characterize the different groups of patients in functional connectivity. In this paper, we commence from the binomial distribution and then extend to double gamma distributions to binarize brain network. This produces an optimal threshold in the process of network construction. We introduce a community-based nodal finding algorithm to handle the influence of the rich effect on finding important nodes. The experiments present an effective classification result on different brain network structures.
AB - Functional connectivity is a widely used method to explore the connections among different regions in the brain. However, it is still a challenge to extract structures from multiple similar brain networks that can characterize the different groups of patients in functional connectivity. In this paper, we commence from the binomial distribution and then extend to double gamma distributions to binarize brain network. This produces an optimal threshold in the process of network construction. We introduce a community-based nodal finding algorithm to handle the influence of the rich effect on finding important nodes. The experiments present an effective classification result on different brain network structures.
KW - binomial distribution
KW - community important nodes algorithm
KW - Complex network
KW - double gamma distribution
UR - http://www.scopus.com/inward/record.url?scp=85186758173&partnerID=8YFLogxK
U2 - 10.1109/CyberC58899.2023.00048
DO - 10.1109/CyberC58899.2023.00048
M3 - Conference Proceeding
AN - SCOPUS:85186758173
T3 - Proceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023
SP - 259
EP - 262
BT - Proceedings - 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023
Y2 - 2 November 2023 through 4 November 2023
ER -