TY - GEN
T1 - Two perspectives to investigate the intrinsic organization of the dynamic and ongoing spontaneous brain activity in humans
AU - Wang, Zhijiang
AU - LIU, Jiming
AU - Zhong, Ning
AU - Zhou, Haiyan
AU - Qin, Yulin
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Spontaneous brain activity studies have revealed 'small-world' property in functional networks based on correlated or positively-correlated relationships. However, studies neither investigated negatively-correlated functional networks, nor checked the 'dynamic' properties of the whole functional organization. After subjects performed a specific task, what changes will be caused in the intrinsic organization? In this study, we examined pre-task and post-task resting brains using functional MRI (fMRI). Then we suggested two perspectives with positively-correlated brain functional network (PCBFN) and negatively-correlated brain functional network (NCBFN), by testing whether correlation coefficients were positive or negative. The major findings were: 1) the PCBFN was with small-world architecture but the NCBFN was not, with different motifs, and the PCBFN showed stronger small-world effect at the post-task resting state; 2) Both PCBFN and NCBFN followed an exponentially truncated power law degree distribution. This study may offer a framework to investigate the intrinsic organization of spontaneous brain activity.
AB - Spontaneous brain activity studies have revealed 'small-world' property in functional networks based on correlated or positively-correlated relationships. However, studies neither investigated negatively-correlated functional networks, nor checked the 'dynamic' properties of the whole functional organization. After subjects performed a specific task, what changes will be caused in the intrinsic organization? In this study, we examined pre-task and post-task resting brains using functional MRI (fMRI). Then we suggested two perspectives with positively-correlated brain functional network (PCBFN) and negatively-correlated brain functional network (NCBFN), by testing whether correlation coefficients were positive or negative. The major findings were: 1) the PCBFN was with small-world architecture but the NCBFN was not, with different motifs, and the PCBFN showed stronger small-world effect at the post-task resting state; 2) Both PCBFN and NCBFN followed an exponentially truncated power law degree distribution. This study may offer a framework to investigate the intrinsic organization of spontaneous brain activity.
UR - http://www.scopus.com/inward/record.url?scp=79959412227&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2010.5596646
DO - 10.1109/IJCNN.2010.5596646
M3 - Conference proceeding
AN - SCOPUS:79959412227
SN - 9781424469178
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Y2 - 18 July 2010 through 23 July 2010
ER -