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 mindfulness and other mind-body techniques affects our performance, health and well-being. I am available for consultation on topics about meditation, consciousness, cognitive neuroscience and embodied cognition..

My background summary:
- Awarded (2020-23) 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
- Electroencephalography (EEG) and magnetoencephalography (MEG) expertise

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

Expertise

  • Psychology

    • Meditation
    • Sequence Learning
    • Attention
    • Cognitive Control
    • Reaction Time
    • Groups
  • Medicine and Dentistry

    • Magnetoencephalography
    • Patient

Organisations

I joined the Faculty of BMS in 2020 to work on my own project - Individualised Cognitive and Motor learning for the Elderly (ICOME). The project has been completed and investigated potential management solutions to the ageing demographics across Europe and the world through an evidence-based approach to individualised programs.

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

2025

Convolutional neural networks decode finger movements in motor sequence learning from MEG data (2025)Frontiers in Neuroscience, 19. Article 1623380. Zabolotniy, A., Chan, R. W., Moiseeva, V. & Fedele, T.https://doi.org/10.3389/fnins.2025.1623380An Exploration of Digital Human Cognition Through Sensory Perception Across Real and Virtual Selves (2025)In Advances in Digital Human Modeling II: Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025, July 29-31, 2025, Loughborough, UK (pp. 331-342) (Lecture Notes in Networks and Systems; Vol. 1577). Springer. Capkan, E. N., Borsci, S., Chan, R. W., Scataglini, S., Truijen, S. & Yildirim, F.https://doi.org/10.1007/978-3-032-00839-8_30Multimodal mobile brain and body imaging for quantification of dance motor sequence learning (2025)MethodsX, 14. Article 103324. Chan, R. W., Lakomski, V., Pannermayr, J., Wiechmann, E., van 't Klooster, J. W. J. R. & Verwey, W. B.https://doi.org/10.1016/j.mex.2025.103324

2021

Feasibility and Challenges of Performing Magnetoencephalography Experiments in Children With Arthrogryposis Multiplex Congenita (2021)Frontiers in Pediatrics, 9. Article 626734. Golosheykin, S. A., Blagoveschenskiy, E. D., Agranovich, O. E., Nazarova, M. A., Nikulin, V. V., Moiseenko, O. E., Chan, R. W. & Shestakova, A. N.https://doi.org/10.3389/fped.2021.626734

Research profiles

Courses academic year 2025/2026

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.

Courses academic year 2024/2025

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

Two Marie Curie Individual Fellowships for the UT:

Address

University of Twente

Capitool 15 (building no. 78), room 345
Capitool 15
7521 PL Enschede
Netherlands

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Organisations

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