Zi Hui Su
Quantifying gait and eye movement in Parkinson's disease.
Current clinical assessment for movement disorders like PD is often objective and results heavily influenced by medication effect.
This lack of sensitivity prevents accurate staging of disease progression, early diagnosis, and prolongs the drug discovery process.
With advancements in mobile sensing technology, we now have the tools that can rapidly collect detailed information of movement and the computing power to analyse large volumes of data.
My DPhil project looks at how mobile sensing can be used in clinical settings and identify biomarkers sensitive to disease progression but relatively unaffected by treatment.
Participate in research
Online population study on time perception in Parkinson’s disease and aged population
Parkinson’s disease is known to affect parts of the brain that are thought to be involved in perceiving the passage of time, but the nature and degree of any actual time perception problems that result is not well understood. The aim of this research is to determine whether time perception is altered in Parkinson’s disease (PD) and whether this can be accurately quantified. If so, measures of changes in time perception could potentially be used in future as a test that could help diagnose PD.
If you would like to participate in this research, join the 20 minute online study here
I have joined my Prof. Antoniades in organising a number of public engagement events under the Art and Neuroscience Project, and have enjoyed sharing science with members of the public at the Royal Society and various schools across China.
EEG microstates are correlated with brain functional networks during slow-wave sleep.
Xu J. et al, (2020), Neuroimage, 215
Functional MRI of arousals in nonrapid eye movement sleep.
Zou G. et al, (2020), Sleep, 43
Dynamic functional connectivity states characterize NREM sleep and wakefulness.
Zhou S. et al, (2019), Hum Brain Mapp, 40, 5256 - 5268
Brain structural basis of individual variability in dream recall frequency
Zhou S. et al, (2019), Brain Imaging and Behavior, 13, 1474 - 1485
Quantifying eye and gait abnormalities in Parkinson's patients after Deep brain stimulation
Su Z. et al, (2019), MOVEMENT DISORDERS, 34