Welcome...

dr. R.W. Chan BSc (Russell)

Assistant Professor

About Me

I'm a neuroscientist with a fascination of the mind and its potential for cognitive and motor performances.  Using different neuroimaging techniques, I investigate how meditation and other mind-body techniques affects our performance, health and well-being.  I aim to share my knowledge and am available for consultation on topics about meditation, spirituality, cognitive neuroscience and motor control.

My background summary:
- Winner (2020-22) of prestigious Marie Skłodowska-Curie Fellowship (€187,573; <12% win rate). Topic : "Individualised COgnitive and Motor learning for the Elderly (ICOME)"
- PhD in Cognitive & Motor Neuroscience
- Published author in the Neuroscience of Meditation
- Trained in electroencephalography (EEG) and magnetoencephalography (MEG) acquisition and analysis

Community contributions:
- Yoga and meditation practitioner since 2009, instructor since 2013
- Lululemon Adelaide Ambassador (2013-15)
- Senior health and wellbeing scientist (2011-14)

Expertise

Medicine & Life Sciences
Arthrogryposis
Learning
Magnetoencephalography
Meditation
Mindfulness
Tennis
Yoga
Social Sciences
Meditation

Research

I join the Faculty of BMS and Department of CPE to work on my own project - Individualised Cognitive and Motor learning for the Elderly (ICOME). The innovation is to provide a management solution to the ageing demographics across Europe and the world through an evidence-based approach with high efficacy.

I am creating a neurocognitive model of motor learning representation for the elderly, using supervised machine learning with electroencephalography (EEG) and behavioral data to predict cognitive and motor states.  This project will use two different forms of meditation to obtain greater learning outcomes in a shorter timeframe for the elderly. It is predicted that elder adults with individualised training will gain benefits such as improved balance control for falls prevention.

Publications

Recent
Golosheykin, S. A., Blagoveschenskiy, E. D., Agranovich, O. E., Nazarova, M. A., Nikulin, V. V., Moiseenko, O. E. , Chan, R. W., & Shestakova, A. N. (2021). Feasibility and Challenges of Performing Magnetoencephalography Experiments in Children With Arthrogryposis Multiplex Congenita. Frontiers in Pediatrics, 9, [626734]. https://doi.org/10.3389/fped.2021.626734
Chan, R. W., Alday, P. M., Zou-Williams, L., Lushington, K., Schlesewsky, M., Bornkessel-Schlesewsky, I., & Immink, M. A. (2020). Focused-attention meditation increases cognitive control during motor sequence performance: Evidence from the N2 cortical evoked potential. Behavioural Brain Research, 384, [112536]. https://doi.org/10.1016/j.bbr.2020.112536
Filippova, M., Gorbunov, I. , Chan, R. W., & Shcherbakova, O. (2018). Unconscious detection of verbal and non-verbal ambiguous stimuli. International journal of psychophysiology, 131(Suppl). https://doi.org/10.1016/j.ijpsycho.2018.07.396
Chan, R. W., Zou, L., Alday, P. M., Lushington, K., Schlesewsky, M., Bornkessel-Schlesewsky, I., & Immink, M. A. (2017). Enhancing sequential action through single session meditation and training: Behavioural and neural correlates of meditation-facilitated motor sequence learning. In ASP2017: 27th Annual Meeting for the Australasian Society for Psychophysiology (Frontiers in Human Neuroscience). Frontiers Media S.A.. https://doi.org/10.3389/conf.fnhum.2017.224.00014

UT Research Information System

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Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Projects

Individualised Cognitive and Motor learning for the Elderly (ICOME):

For those who require it, motor sequence learning in the elderly is crucial for improvement of their motor function. However, existing motor learning programmes neglect individual cognitive and motor differences, resulting in significantly varied improvements in motor function. The EU-funded ICOME project aims to offer a management solution to the ageing demographic in the EU. It will create an efficient method that provides a personalised approach to motor sequence learning in the elderly. The project will address historical and existing theoretical topics, establish an inclusive neurocognitive model of motor learning representation using advanced machine learning methods, and create a personalised intervention. The findings will contribute to improving health management policies and future applications of advanced brain-computer interfaces.

In the press

Scope TV Australia - Introduction and preparation of EEG systems:

 

News on utwente.nl

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Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus (building no. 41), room B327
De Zul 10
7522NJ  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Cubicus  B327
P.O. Box 217
7500 AE Enschede
The Netherlands

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