Shize Jiang
Fudan University
26 Papers
27 Citations
Shize Jiang is an academic researcher from Fudan University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 5, co-authored 16 publications.
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Papers
Optimal referencing for stereo-electroencephalographic (SEEG) recordings.
Guangye Li,Guangye Li,Shize Jiang,Sivylla E. Paraskevopoulou,Meng Wang,Yang Xu,Zehan Wu,Liang Chen,Dingguo Zhang,Gerwin Schalk,Gerwin Schalk,Gerwin Schalk +11 more
TL;DR: The results from three different signal quality metrics suggest the use of the Laplacian re‐reference for study of local population‐level activity and low‐frequency oscillatory activity.
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iEEGview: an open-source multifunction GUI-based Matlab toolbox for localization and visualization of human intracranial electrodes
Guangye Li,Shize Jiang,Chen Chen,Peter Brunner,Peter Brunner,Zehan Wu,Gerwin Schalk,Gerwin Schalk,Liang Chen,Dingguo Zhang +9 more
TL;DR: iEEGview is the first public Matlab GUI based software for intracranial electrode localization and visualization that hold integrated capabilities together within one pipeline and can serve as a useful tool in facilitating iEEG studies.
37
Effectiveness of deferoxamine on ferric chloride-induced epilepsy in rats
TL;DR: In this article, the potential epilepsy control effect of deferoxamine (DFO), an iron chelator, on a ferric chloride-induced epilepsy rat model was examined, and a daily dose of 100mg/kg DFO via peritoneal injection was applied for 14 days.
23
Long-Term Outcomes of Surgical Treatment in 181 Patients with Supratentorial Cerebral Cavernous Malformation-Associated Epilepsy.
TL;DR: A shorter duration of preoperative epilepsy was associated with better seizure control after surgery, and patient status at the 1-year follow-up was a reliable indicator of long-term Engel class I epilepsy control.
19
Decoding continuous kinetic information of grasp from stereo-electroencephalographic (SEEG) recordings
Xiaolong Wu,Guangye Li,Shize Jiang,Scott Wellington,Shengjie Liu,Zehan Wu,Benjamin Metcalfe,Liang Chen,Dingguo Zhang +8 more
TL;DR: The result presented in this study demonstrated the potential of SEEG recordings for future BCI application and verified the possibility of decoding continuously changing grasp force using SEEg recordings.
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