Shenghong He
The Guarantors of Brain Postdoctoral Research Fellow
Shenghong He graduated with a D.Phil. in Engineering from South China University of Technology, China, in December 2017. His graduate work has mainly focused on developing real-time asynchronous brain-machine interface (BMI) methods and their applications using bioelectric signals including electroencephalogram (EEG) and electrooculography (EOG). In May 2018, Shenghong joined Dr Huiling Tan’s Group as a Postdoctoral Research Scientist in Neuroscience. Shenghong’s current research is focused on developing BMI systems based on subcortical local field potentials (LFPs) recorded from people with Parkinson’s disease, and testing the efficacy of this new BMI system in neuroprosthetic control and neurofeedback training. His work involves collecting behavioural and electrophysiological data, analysing brain signals in real-time to decode relevant information, using this information to drive an external actuator, and, at the same time, to better understand the pathological mechanisms and symptoms of different brain diseases, and to advance his research on brain-machine interfaces for improved treatments.
Recent publications
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Clinical neuromodulatory effects of deep brain stimulation in disorder of consciousness: A literature review
Journal article
Cao T. et al, (2023), CNS Neuroscience & Therapeutics
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Editorial: Explainable and Advanced Intelligent Processing in the Brain-Machine Interaction
Journal article
HE S. et al, (2023), Frontiers in Human Neuroscience
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Beta-triggered adaptive deep brain stimulation during reaching movement in Parkinson’s disease
Journal article
He S. et al, (2023), Brain
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Average power and burst analysis revealed complementary information on drug-related changes of motor performance in Parkinson’s disease
Journal article
Torrecillos F. et al, (2023), npj Parkinson's Disease, 9
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A Review of Motor Brain-Computer Interfaces using Intracranial Electroencephalography based on Surface Electrodes and Depth Electrodes
Preprint
Wu X. et al, (2023)