Medical Research Council (MRC)
Wellcome Trust ISSF
MRC Brain Network Dynamics Unit
University Research Lecturer;
- Principal Investigator
Huiling studied Control Engineering at Beijing University of Aeronautics and was awarded Undergraduate Academic Excellence Scholarship (1996-2000). In 2003, she came to the University of Oxford with an Oxford Overseas Research Scholarship and China Oxford Scholarship. After completing her D.Phil. in Engineering Sciences at the University of Oxford in Dec 2006 and while she was working as a post-doctoral research associate, Huiling studied Psychology with Open University and was awarded BSc in Psychology with Honours (1st class).
Huiling’s recent research focuses the role of the basal ganglia in motor control and motor learning, and how information important for motor control and motor learning is represented, processed and transmitted in different networks of the brain, including the motor cortex and the basal ganglia. Her recent work has revealed how frequency-specific oscillations in the local field potentials (LFP) recorded from the basal ganglia contribute to encoding gripping force, motor effort and other movement related information. She is also interested in how malfunction of these oscillations can lead to symptoms in different movement disorders, in particular, Parkinson’s disease.
The overarching aim of Huiling’s research is to use these arising insights in a brain-machine interface (BMI) context to improve the quality of life for the neurologically impaired. With this, she aim to translate the neuroscience and engineering knowledge into clinical therapies in order to recover function and ameliorate symptoms, whilst at the same time answering to fundamental neuroscience questions.
Modulation of beta bursts in the subthalamic nucleus predicts motor performance.
Torrecillos F. et al, (2018), J Neurosci
Beta burst coupling across the motor circuit in Parkinson's disease.
Tinkhauser G. et al, (2018), Neurobiol Dis, 117, 217 - 225
Towards Real-Time, Continuous Decoding of Gripping Force From Deep Brain Local Field Potentials.
Shah SA. et al, (2018), IEEE Trans Neural Syst Rehabil Eng, 26, 1460 - 1468
Directional local field potentials: A tool to optimize deep brain stimulation.
Tinkhauser G. et al, (2018), Mov Disord, 33, 159 - 164
Beta burst dynamics in Parkinson's disease OFF and ON dopaminergic medication.
Tinkhauser G. et al, (2017), Brain, 140, 2968 - 2981