• 1. Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China;
  • 2. Department of Psychosomatic Medicine, Sichuan Province People's Hospital, Chengdu 610041, China;
  • 3. Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China;
ZHOUDong, Email: zhoudong66@yahoo.de
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Objective Seizure-related respiratory or cardiac dysfunction was once thought to be the direct cause of sudden unexpected death in epilepsy (SUDEP), but both may be secondary to postictal cerebral inhibition. An important issue that has not been explored to date is the neural network basis of cerebral inhibition. Our aim was to investigate the features of neural networks in patients at high risk for SUDEP using a blood oxygen level-dependent (BOLD) resting-state functional MRI (Rs-fMRI) technique. Methods Rs-fMRI data were recorded from 13 patients at high risk for SUDEP and 12 patients at low risk for SUDEP. The amplitude of low-frequency fluctuations (ALFF) values were compared between the two groups to decipt the regional brain activities. Results Compared with patients at low risk for SUDEP, patients at high risk exhibited significant ALFF reductions in the right superior frontal gyrus, the left superior orbital frontal gyrus, the left insula and the left thalamus; and ALFF increase in the right middle cigulum gyrus, the right supplementary motor area and the left thalamus. Conclusions These findings highlight the need to understand the fundamental neural network dysfunction in SUDEP, which may fill the missing link between seizure-related cardiorespiratory dysfunction and SUDEP, and provide a promising neuroimaging biomarker for risk prediction of SUDEP.

Citation: TANGYingying, CHENQin, YUXiaofeng, ZHOUBo, LUOChunyan, HUANGXiaoqi, GONGQiyong, ZHOUDong. An ALFF study using resting-state functional MRI in patients at high risk for sudden unexpected death in epilepsy. Journal of Epilepsy, 2017, 3(1): 15-21. doi: 10.7507/2096-0247.20170002 Copy

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