scholarly journals Large‐scale functional network connectivity mediate the associations of gut microbiota with sleep quality and executive functions

2021 ◽  
Author(s):  
Huanhuan Cai ◽  
Chunli Wang ◽  
Yinfeng Qian ◽  
Shujun Zhang ◽  
Cun Zhang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Sleep Quality ◽  
Executive Functions ◽  
Large Scale ◽  
Network Connectivity ◽  
Functional Network ◽  
Functional Network Connectivity

scholarly journals Altered dynamic functional network connectivity in levodopa-induced dyskinesia of Parkinson's disease

2020 ◽  
Author(s):  
Qianqian Si ◽  
Yongsheng Yuan ◽  
Caiting Gan ◽  
Min Wang ◽  
Lina Wang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Large Scale ◽  
Network Connectivity ◽  
Functional Network ◽  
Sensorimotor Network ◽  
Functional Network Connectivity ◽  
Strongly Connected ◽  
Window Approach ◽  
Dynamic Functional Network Connectivity

Abstract Background Traditional measures of static functional connectivity may not completely reflect the dynamic neural activity of levodopa-induced dyskinesia (LID) in Parkinson's disease (PD). This study was aimed to investigate the dynamic changes of large-scale functional network connectivity in the temporal domain in PD patients with and without LID. Methods Using dynamic functional network connectivity (dFNC) analysis, we evaluated 41 PD patients with LID (LID group) and 34 PD patients without LID (No-LID group), on and off their levodopa medications. Group spatial independent component analysis, sliding-window approach and k-means clusters were employed. Results In OFF phase, we found no differences between PD subgroups in temporal properties. In ON phase, compared than No-LID group, LID group occurred more frequently and dwelled longer in strongly connected State 1, characterized by strong connections between visual network (VIS) and other networks. When switching from OFF to ON phase, LID group occurred more frequently and dwelled longer in State 2 and occurred less frequently and dwelled shorter in State 3 (both states were strongly connected), while No-LID group occurred more frequently and dwelled longer in State 5 (weakly connected). Additionally, correlation analysis further demonstrated that the severity of dyskinesia was only associated with frequency of occurrence and dwell time in State 2, dominated by inferior frontal cortex in cognitive executive network (CEN), strongly connecting with sensorimotor network (SMN) and VIS. Conclusions Using dFNC analysis, we found that compared to those without LID, PD patients with LID may be involved in the superexcitation of VIS, as well as interconnections between CEN and SMN, VIS, having impact on inhibition of motor circuits. The dFNC analysis might provide new insights into the neural mechanisms of LID in PD.

scholarly journals P300 Large-Scale Cortical Dynamical Functional Network Connectivity

2021 ◽  
Vol 168 ◽  
pp. S112-S113
Author(s):  
Chanlin Yi ◽  
Ruwei Yao ◽  
Liuyi Song ◽  
Lin Jiang ◽  
Fali Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Network Connectivity ◽  
Functional Network ◽  
Functional Network Connectivity
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