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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Cortico-thalamic tremor circuits and their associations with deep brain stimulation effects in essential tremor
Preprint
He S. et al, (2024)
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Cortical beta oscillations help synchronise muscles during static posture holding in healthy motor control
Journal article
Simpson TG. et al, (2024), NeuroImage, 298, 120774 - 120774
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Quantifying local field potential dynamics with amplitude and frequency stability between ON and OFF medication and stimulation in Parkinson's disease.
Journal article
Guo X. et al, (2024), Neurobiol Dis
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Electroencephalogram (EEG) and behavioural data concerning the Go/NoGo/Conflict task
Dataset
Mandali A. et al, (2024)
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Tuning the brakes - Modulatory role of transcranial random noise stimulation on inhibition.
Journal article
Mandali A. et al, (2024), Brain Stimul, 17, 392 - 394