He Group

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diagram showing a human subject in the middle, with arms out, and recordings from their brain and tremor recordings from their arms, displayed as traces on either side

Our group explores how the human brain works, both in health and disease, by using advanced technologies like brain-computer interfaces and neuromodulation. We aim to use our discoveries and tools to develop practical approaches that improve clinical care and patient outcomes.

Group Science

We use brain-computer interfaces (BCIs) and neuromodulation to investigate the causal relationships between brain activity and behaviour, including disease symptoms. BCIs are technologies that enable direct communication between the brain and external devices, often used to restore or enhance motor, sensory, or cognitive functions. Neuromodulation involves regulating neural activity through targeted electrical or chemical stimulation of specific areas in the nervous system, either to treat neurological conditions or to better understand brain function.

Our research integrates BCIs (e.g., neurofeedback training) with both invasive (e.g., deep brain stimulation) and non-invasive (e.g., repetitive transcranial magnetic stimulation and low-intensity transcranial focused ultrasound stimulation) neuromodulation techniques. This approach allows us to study how neural activity drives behaviour and how brain stimulation interacts with these processes. Ultimately, our goal is to translate these insights into personalised treatment strategies for neurological conditions such as Parkinson’s disease, essential tremor, multiple system atrophy, and disorders of consciousness.

Key Research Areas
  • Development of novel brain-computer interfaces (BCIs) leveraging cortical and subcortical neural signals.
  • Application of both invasive and non-invasive neuromodulation techniques.
  • Investigation of neural correlates underlying normal and pathological brain functions.
Research Techniques
  • Neuroimaging and neurophysiological methods, including EEG, MRI, and local field potential recordings
  • Experimental studies involving healthy individuals and people with neurological conditions
  • Time series analysis, machine learning, and programming
Group Leader
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Portrait photo of Shenghong He
Group Members
Group News

Studentships

Recent Publications

Unit Paper
Guo X
Wehmeyer L
Rodriguez Plazas F
Wendt K
Yin Z
Raslan A
Hart T
Morgante F
Pereira EA
Ashkan K
Wang S
2025. Brain Stimul, 18(5):1705-1717.
Unit Paper
Zhao H
Hao S
Zhang P
Wehmeyer L
Feng Z
Xu LL
Zhan S
Liu W
Zhang X
Welter ML
Li D
Sun B
Lu Y
Cao C

2025. Mov Disord (e-Pub ahead of print).

Unit Paper
Deli A
West TO
Plazas FR
Wiest C
Wehmeyer L
Baig F
Morgante F
Andrade P
Hart MG
Fitzgerald J
Visser-Vandewalle V
Pereira EA
Green AL

2025. Mov Disord, 40(9):1977-1982.

Unit Paper
West TO
Plazas FR
Wehmeyer L
Deli A
Wiest C
Simpson TG
Andrade P
Baig F
Hart MG
Morgante F
Fitzgerald J
Barbe MT
Visser-Vandewalle V
Green AL
Pereira EA

2025. Brain, 148(6):2093-2107.

Unit Paper
Wiest C
Simpson TG
Hasegawa H
Plazas FR
Wehmeyer L
Yassine S
Guo X
Shah RS
Merla A
Perera A
Raslan A
O'Keeffe A
Hart MG
Morgante F
Pereira EA
Ashkan K

2025. Mov Disord, 40(2):351-356.

Datasets and resources

Datasets are available through our dataset platform is designed to enable the sharing of several classes of research data generated by the Medical Research Council Brain Network Dynamics Unit at the University of Oxford (MRC BNDU). The datasets could include:

  • Electrophysiological recording from humans and rodents
  • Digital micrographs of brain tissue
  • Scripts and code used for analysis of data
  • Printable 3D models and microcontroller code
  • Code for modelling of neuronal networks

All downloads require making an account; the primary reason for this is to enable us to monitor downloads of datasets which allows us to report this to funding bodies.

He S, Everest-Phillips C, Brown P, Tan H
EEGs from healthy motor control during neurofeedback training
10.5287/bodleian:9gM209oXo
Rodriguez F, He S, Tan H
Local Field Potential (LFP) data recorded from externalized Essential Tremor DBS Patients during 3 upper-limb movement tasks
10.5287/bodleian:ZVNyvrw7R
Mandali A, Torrecillos F, Wiest C, Pogosyan A, He S, Tan H, Stagg CJ, Cagnan H
Electroencephalogram (EEG) and behavioural data concerning the Go/NoGo/Conflict task
10.5287/ora-qqd05nv46
LFPs and EEGs from patients with Parkinson’s disease or multiple system atrophy during gait
10.60964/bndu-w6mx-gv64
LFPs and EEGs from patients with Parkinson’s disease during neurofeedback training
10.60964/bndu-4jde-7j28