Altered basal ganglia-cortical functional connections in frontal lobe epilepsy: A resting-state fMRI study

2016 ◽  
Vol 128 ◽  
pp. 12-20 ◽  
Author(s):  
Li Dong ◽  
Pu Wang ◽  
Rui Peng ◽  
Sisi Jiang ◽  
Benjamin Klugah-Brown ◽  
...  
2014 ◽  
Vol 4 (2) ◽  
pp. 91-99 ◽  
Author(s):  
Kristine Elizabeth Woodward ◽  
Ismael Gaxiola-Valdez ◽  
Bradley Gordon Goodyear ◽  
Paolo Federico

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xinzhi Cao ◽  
Zhiyu Qian ◽  
Qiang Xu ◽  
Junshu Shen ◽  
Zhiqiang Zhang ◽  
...  

Examining the resting-state networks (RSNs) may help us to understand the neural mechanism of the frontal lobe epilepsy (FLE). Resting-state functional MRI (fMRI) data were acquired from 46 patients with FLE (study group) and 46 age- and gender-matched healthy subjects (control group). The independent component analysis (ICA) method was used to identify RSNs from each group. Compared with the healthy subjects, decreased functional connectivity was observed in all the networks; however, in some areas of RSNs, functional connectivity was increased in patients with FLE. The duration of epilepsy and the seizure frequency were used to analyze correlation with the regions of interest (ROIs) in the nine RSNs to determine their influence on FLE. The functional network connectivity (FNC) was used to study the impact on the disturbance and reorganization of FLE. The results of this study may offer new insight into the neuropathophysiological mechanisms of FLE.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Yang Liu ◽  
Zheng Ding ◽  
Xiao-yang Wang ◽  
Su-jian Zhou ◽  
Hui Xiao ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0139757
Author(s):  
Luqing Wei ◽  
Jiuquan Zhang ◽  
Zhiliang Long ◽  
Guo-Rong Wu ◽  
Xiaofei Hu ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e108124 ◽  
Author(s):  
Luqing Wei ◽  
Jiuquan Zhang ◽  
Zhiliang Long ◽  
Guo-Rong Wu ◽  
Xiaofei Hu ◽  
...  

2020 ◽  
Author(s):  
Majd Abdallah ◽  
Nicolas Farrugia ◽  
Valentine Chirokoff ◽  
Sandra Chanraud

AbstractConverging evidence from human and animal studies predict a possible role of the cerebellum in impulsivity. However, this hypothesis has not been thoroughly investigated within the framework of functional connectivity (FC). To address this issue, we employed resting-state fMRI data and two self-reports of impulsivity (UPPS-P and BIS/BAS) from a large group of healthy young individuals (N=134). We identified cerebral and cerebellar resting-state networks, and evaluated the association of static (strength) and dynamic (temporal variability) aspects of cerebro-cerebellar FC with different elements of self-reported impulsivity. Our results revealed that the behavioral inhibition and approach systems (BIS/BAS) were inversely associated with basal ganglia-cerebellar and fronto-cerebellar FC strength, respectively. In addition, we found that lack of premeditation was inversely associated with the temporal variability of FC between the cerebellum and top-down control networks that included sub-regions of the prefrontal cortex, precuneus, and posterior cingulate cortex. Moreover, we found that sensation seeking was associated with the temporal variability of FC between the cerebellum and networks that included cortical control regions and sub-cortical reward regions: the basal ganglia and the thalamus. Together, these findings indicate that the cerebellum may contribute to different forms of impulsivity through its connections to large-scale control and reward networks.


PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200623
Author(s):  
Luqing Wei ◽  
Jiuquan Zhang ◽  
Zhiliang Long ◽  
Guo-Rong Wu ◽  
Xiaofei Hu ◽  
...  

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