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Personal profile


I completed my clinical training for Doctor of Medicine in Psychiatry in 2013 at Zhejiang University, China.

In 2014, I completed my PhD in Brain and Cognitive Science, which I started towards the end of my medical doctor training in 2012.

Following a 2-years postdoctoral position in the ARC Centre of Excellence in Cognition and its Disorders, I was awarded a prestigious 3-years Macquarie University Research Fellow in 2016, under which I have been conducting and developing research in developmental cognitive neuroscience.

My current research explores the neural foundations of brain development in early childhood.

I have the expertise in functional neuroimaging (e.g., Magnetoencephalography - MEG) and electrophysiology (e.g., Electroencephalography - EEG), structural neuroimaging (e.g., Magnetic resonance imaging -MRI) and behavioural psychophysiological approach (e.g., eye tracking).

I aim to answer research questions as to how children learn and predict the world through visual and auditory processing, and how the functional brain network evolves during typical brain development.

To address these questions, I use advanced computational modelling, network and graph theoretical analyses on neuroimaging data, in collaboration with world-leading scientists across physics, mathematics, linguistics, cognitive sciences, and medicine.

Finally, I am also very interested in translating my research into the real-world, communicating the results of my research to the public, and educating the next generation of young scholars with the programming and research skills I have developed over the years.


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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2017

Research Output 2008 2019

Studying brain function in children using magnetoencephalography

Rapaport, H., Seymour, R. A., Sowman, P. F., Benikos, N., Stylianou, E., Johnson, B. W., Crain, S. & He, W., 8 Apr 2019, In : Journal of visualized experiments : JoVE. 146, 7 p., e58909.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Head Movements

Commentary: frontoparietal structural connectivity in childhood predicts development of functional connectivity and reasoning ability: a large-scale longitudinal investigation

He, W. & Seymour, R., 1 Mar 2018, In : Frontiers in Psychology. 9, p. 1-3 3 p., 265.

Research output: Contribution to journalComment/opinionResearchpeer-review

Open Access

Development of face recognition: Dynamic causal modelling of MEG data

He, W. & Johnson, B. W., 1 Apr 2018, In : Developmental Cognitive Neuroscience. 30, p. 13-22 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Facial Recognition
Preschool Children
Temporal Lobe
Age Groups

The development of the predictive mind in pre-school children

Rapaport, H., Benikos, N., He, W., Pellicano, E. & Sowman, P., 2018, p. 52-53. 2 p.

Research output: Contribution to conferencePosterResearch

Open Access
Autistic Disorder

Altered effective brain connectivity at early response of antipsychotics in first-episode schizophrenia with auditory hallucinations

Zheng, L., Liu, W., He, W., Yu, S. & Zhong, G., Jun 2017, In : Clinical Neurophysiology. 128, 6, p. 867-874 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Antipsychotic Agents
Temporal Lobe