Art and Neuroscience
In 2019 I was awarded a Public Engagement with Research Seed fund grant for our project Picturing Parkinsons.
In 2016 I received an award in the inaugural Vice-Chancellor's Awards for Public Engagement with Research.
We might think that we can see everything that is happening around us, and it is often said that ‘seeing is believing’, indicating that visual perception is considered one of the most trustworthy means of obtaining information about what is happening around us. However, research has revealed that perception does not capture as much information about the world as we would think .
My interests lie in examining the neurobiological relationship between visual perception and art.
A/Professor of Clinical Neuroscience
- Head of the NeuroMetrology Group
- Director of Graduate Studies, NDCN
- Chair of Clinical Neurosciences Society
- Dean of Reuben College
Neurological disorders/Parkinson’s and atypical PD, wearable technology and biomarkers
A number of brain diseases affect various types of bodily movements, either producing unwanted movements such as tremors or reducing movement by making the patient stiff and slow, or sometimes both. One such condition is Parkinson’s disease which is where my research interests lie.
In my research clinics, I use a variety of quantitative experimental methods, based on precise measurement of subtle abnormalities of the speed and coordination of various movements such as saccades (fast eye movements) and hand movements.
There are two main strands to my work:
- Investigation of patients with very early stage Parkinson’s disease. The aim is to develop easy to apply and relatively cheap neurophysiological tests to aid more accurate diagnosis and monitoring of disease progression. These quantitative tests will also be used to monitor the response to new therapies in clinical trials.
- Investigation of the neurophysiological effects of, and mechanism underlying, Deep Brain Stimulation (DBS) in Parkinson’s disease. This is in collaboration with the Oxford Functional Neurosurgery Group.
More recently, I have started working with Professor Glyn Humphries and Dr Nele Demeyere, using a new tablet computer based system to test cognitive function in Parkinson’s patients.
I'm happy to consider applications from prospective DPhil applicants. Please visit our group website (NeuroMetrology Group) for further information about the projects we are carrying out currently. Don't hesitate to get in touch directly.
- UCB Pharma
- Dementia and Neurodegenerative Research Network (DeNDRon)
- European Commission
- Wellcome Trust
Free full text book chapter: Oculomotor effects of medical and surgical treatments of Parkinson's disease
An internationally standardised antisaccade protocol
Antoniades C. et al, (2013), Vision Research, 84, 1 - 5
Antisaccades and executive dysfunction in early drug-naive Parkinson's disease: The discovery study
Antoniades CA. et al, (2015), Movement Disorders, 30, 843 - 847
Deep Brain Stimulation: Eye Movements Reveal Anomalous Effects of Electrode Placement and Stimulation
Antoniades CA. et al, (2012), PLoS ONE, 7, e32830 - e32830
Deep brain stimulation of the globus pallidus interna improves performance in complex oculomotor tasks
Antoniades CA. et al, (2016), MOVEMENT DISORDERS, 31, S131 - S132
Antiparkinsonian medication masks motor signal progression in de novo patients
Brzezicki MA. et al, (2023), Heliyon, 9, e16415 - e16415
Quantitative Oculomotor Assessment in Hereditary Ataxia: Systematic Review and Consensus by the Ataxia Global Initiative Working Group on Digital-motor Biomarkers
Garces P. et al, (2023), The Cerebellum
Quantitative Oculomotor Assessment in Hereditary Ataxia: Discriminatory Power, Correlation with Severity Measures, and Recommended Parameters for Specific Genotypes
Garces P. et al, (2023), The Cerebellum
Longitudinal monitoring of Progressive Supranuclear Palsy using Body-Worn movement sensors
ANTONIADES C. and FITZGERALD J., (2022), MDS
Oculomotor deficits in Parkinson's disease: Increasing sensitivity using multivariate approaches
Bredemeyer O. et al, (2022), Frontiers in Digital Health, 4