Objective:To explore the static and dynamic characteristics of functional network connectivity(FNC)in patients with end-stage renal disease(ESRD).Methods:33 patients with ESRD and 34 healthy controls(HC)were collected.Six resting-state functional networks were identified based on independent component analysis,including auditory network,visual network,sensorimotor network(SMN),salience network,executive control network(ECN)and default network.Then,the differences of the parameters related to static functional network connectivity(sFNC)and dynamic functional network connectivity(dFNC)were compared between the two groups,and the correlation between these parameters and neuropsychological tests was investigated.Results:The sFNC strength between ECN and SMN in patient group was significantly higher than that in HC(P＜0.05,FDR cor-rection),and this sFNC strength was significantly positively correlated with the executive function score(trail making test A,TMT-A)(r=0.429,P=0.018).The dFNC analysis revealed that the frac-tional window and mean dwell time of state 3 in patient group were significantly lower than those in HC(P＜0.05).The fractional window(r=0.503,P=0.005)and mean dwell time(r=0.412,P=0.024)of state 2 were significantly positively correlated with TMT-A score.The fractional window of state 4 was significantly negatively correlated with the anxiety score(r=-0.372,P=0.043).Conclu-sion:In this study,independent component analysis was used to reveal the characteristics of static and dynamic functional network connectivity in patients with ESRD,which provided a new insight based on functional network level for further understanding the mechanism of neuropathological damage in patients with ESRD.
维普
万方数据