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.

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

Follow up after fellowship:

Shenghong has been awarded a Senior Research Fellowship from Parkinson's UK. This 3 year fellowship will be studying deep brain stimulation and focused ultrasound stimulation for parkinsonian tremor and gait.

Publications

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

2023

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

2023

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

2023

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

2023

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

2023

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

2023

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

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

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

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

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

2022