2021 NCPD Shenghong He

Dr Shenghong He

2021 Post-doctoral Non-clinical Fellowship

Investigating gait-phase dependent adaptive deep brain stimulation and neurofeedback training for patients with gait disturbances

Apart from symptoms such as slow and/or stiff movements, many patients with Parkinson’s disease can also have difficulties with gait. Currently, continuous deep brain stimulation is an effective treatment for many symptoms of Parkinson’s disease, but for gait, the effect is less consistent and could even make it worse. Previous work reported that electrical waves deep in the brain varied in time with stepping, alternating between left and right sides, and this alternating effect was stronger with more regular stepping in patients with less gait difficulties. Furthermore, a type of brain stimulation that mimics this natural alternating activity could modify stepping in patients with Parkinson’s disease. These together lead to the hypothesis of this project: facilitating this alternating pattern could improve gait. I will be testing this hypothesis through two interventions, including Gait-phase dependent adaptive deep brain stimulation, and neurofeedback training. The overall goal of this project is to better understand the relationship between the observed brain patterns and gait, as well as to improve therapy for gait difficulties.

2021 NCPD Shenghong He Figure

Gait-phase dependent adaptive deep brain stimulation (A) and neurofeedback training (B) for facilitating gait.


Gait-phase modulates alpha and beta oscillations in the pedunculopontine nucleus

He S, Deli A, Fischer P, Wiest C, Huang Y, Martin S, Khawaldeh S, Aziz TZ, Green AL, Brown P, Tan H.

Journal of Neuroscience. 2021 Oct 6;41(40):8390-402

Oct 2021

Entraining stepping movements of Parkinson's patients to alternating subthalamic nucleus deep brain stimulation

Fischer P, He S (co-first author), de Roquemaurel A, Akram H, Foltynie T, Limousin P, Zrinzo L, Hyam J, Cagnan H, Brown P, Tan H

Journal of Neuroscience. 2020 Nov 11;40(46):8964-72

Nov 2020

Beta-triggered adaptive deep brain stimulation during reaching movement in Parkinson's disease

S He, F Baig, A Merla, F Torrecillos, A Perera, C Wiest, J Debarros, M Benjaber, MG Hart, F Morgante, H Hasegawa, M Samuel, M Edwards, T Denison, A Pogosyan, K Ashkan, E Pereira, H Tan

Brain, 146(12), pp 5015–5030, Dec 2023

Dec 2023

The potential of convolutional neural networks for identifying neural states based on electrophysiological signals: experiments on synthetic and real patient data

FR Plazas, S He, H Tan

Front Hum Neurosci, vol 17, p.1134599


Explainable and advanced intelligent processing in the brain-machine interaction

Xie X, Zhang D, Yu T, Duan Y, Daly I, He S

Front Hum Neurosci, vol 17


An adaptive brain-computer interface to enhance motor recovery after stroke

Zhang R, Wang C, He S, Zhao C, Zhang K, Wang X, Li Y

IEEE Trans Neural Syst Rehabil Eng. 2023 May 2


Clinical neuromodulatory effects of deep brain stimulation in disorder of consciousness: A literature review

T Cao, S He, X Chai, Q He, J He, H Tan, Y Yang, J Zhao

CNS Neuroscience & Therapeutics


Average power and burst analysis revealed complementary information on drug-related changes of motor performance in Parkinson’s disease

F Torrecillos, S He, AA Kühn, H Tan

NPJ Parkinsons Dis, 9(1), p.93, https://doi.org/10.1038/s41531-023-00540-x


A review of motor brain-computer interfaces using intracranial Electroencephalography based on surface electrodes and depth electrodes

X Wu, B Metcalfe, S He, H Tan, D Zhang

TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22340677.v1


Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials

T Martineau, S He, R Vaidyanathan, T Tan

Front Hum Neurosci, 17:1111590, May 2023


Evoked resonant neural activity in subthalamic local field potentials reflects basal ganglia network dynamics

C Wiest, S He, B Duchet, A Pogosyan, M Benjaber, T Denison, H Hasegawa, K Ashkan, F Baig, I Bertaina, F Morgante, EA Pereira, F Torrecillos, H Tan

Neurobiol Dis, vol. 178, pp. 106019, Mar 2023


Tailoring Human Sleep: selective alteration through Brainstem Arousal Circuit Stimulation

A Deli, S He, B Duchet, Y Huang, S Martin, N Sarangmat, T Denison, H Tan, V Vyazovskiy, AL Green

medRxiv, Dec 2022


Subthalamic Nucleus Stimulation–Induced Local Field Potential Changes in Dystonia

C Wiest, F Morgante, F Torrecillos, A Pogosyan, S He, F Baig, I Bertaina, MG Hart, MJ Edwards, EA Pereira, H Tan

Mov Disord, Dec. 2022


Modulation of Limbic Resting State Networks by Subthalamic Nucleus Deep Brain Stimulation

J Eraifej, J Cabral, HM Fernandes, J Kahan, S He, L Mancini, J Thornton, M White, T Yousry, L Zrinzo, H Akram, P Limousin, T Foltynie, TZ Aziz, G Deco, M Kringelbach, AL Green

Netw Neurosci, Dec. 2022