Shenghong He
Senior 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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Tremor Asymmetry and the Development of Bilateral Phase-Specific Deep Brain Stimulation for Postural Tremor.
Journal article
He S. et al, (2025), Mov Disord
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Cortical and Cortico-Muscular Beta-Gamma Phase Amplitude Coupling during Different Locomotion Status and the Effects of Levodopa in Parkinson Disease
Preprint
Zhao H. et al, (2025)
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Flexible and Stable Cycle-by-Cycle Phase-Locked Deep Brain Stimulation System Targeting Brain Oscillations in the Management of Movement Disorders
Preprint
Guo X. et al, (2025)
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Tremor asymmetry and the development of bilateral phase-specific deep brain stimulation for postural tremor
Preprint
He S. et al, (2025)
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Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation
Journal article
Yang Y. et al, (2024), Military Medical Research, 11