Profile of Dr WONG, Ting Yat 黃定一 - The Education University of Hong Kong


Assistant Professor	Department of Psychology
Co-Director & Member	Centre for Psychosocial Health

Contact

ORCiD

0000-0003-4356-1978

Phone

(852) 2948 8795

wtingyat@eduhk.hk

Address

10 Lo Ping Road, Tai Po, New Territories, Hong Kong

Website

https://pappl.eduhk.hk/rich/web/person.xhtml?pid=300315&name=WONG, Ting Yat

Scopus ID

57204143122

SDGs

3 - Good Health and Well-Being
11 - Sustainable Cities and Communities

Research Interests

Neurodevelopment; Mental Health; Resilience

Research Interests

Neurodevelopment; Mental Health; Resilience

Research Outputs


Journal Publications Tsui, H.K.H., Wong, T.Y., Sum, M.Y., Chu, S.T., Hui, C.L.M., Chang, W.C., Lee, E.H.M., Suen, Y., Chen, E.Y.H. (2025). Comparison of Negative Symptom Network Structures Between Patients With Early and Chronic Schizophrenia: A Network and Exploratory Graph Analysis. Schizophrenia Bulletin, 51 (3), 672–683. https://doi.org/10.1093/schbul/sbae135 SDGs infomation: 3 - Good Health and Well-Being Wong, T.Y., Moore, T.M., Hillman, N., Calkins, M.E., Shahriar, S., Dietterich, T., Ruparel, K., Roalf, D.R., Wolf, D.H., Satterthwaite, T.D., Ered, A., Gur, R.E., Gur, R.C. (2025). Longitudinal Development of Neurocognitive Functioning and Gray Matter Volume in Youths With Recurrent Psychosis Spectrum Symptoms. Schizophrenia Bulletin, sbaf049, 1-10. SDGs infomation: 3 - Good Health and Well-Being Tsui, H.K.H., & Wong, T.Y., Ma, C.F., Wong, T.E., Hsiao, J., Chan, S.K.W. (2024). Reliability of theory of mind tasks in schizophrenia, ASD, and nonclinical populations: A systematic review and reliability generalization meta-analysis. Neuropsychology Review. https://doi.org/10.1007/s11065-024-09652-4 Ting Yat Wong, Hao Luo, Jennifer Tang, Tyler M. Moore, Ruben C. Gur, Yi Nam Suen, Christy Lai Ming Hui, Edwin Ho Ming Lee, Wing Chung Chang, Wai Ching Yan , Eileena Chui , Lap Tak Poon , Alison Lo , Koi-Man Cheung , Chui Kwan Kan , Eric Yu Hai Chen, Sherry Kit Wa Chan (2024). Development of an individualized risk calculator of treatment resistance in patients with first-episode psychosis (TRipCal) using automated machine learning: A 12-year follow-up study with clozapine prescription as a proxy indicator. Translational Psychiatry, 14, Article 50. https://doi.org/10.1038/s41398-024-02754-w Tiffanie Sze Wing Pang, Johnny Siu Wah Chun, Ting Yat Wong, Sin Ting Chu, Chak Fai Ma, William G. Honer, Sherry Kit Wa Chan (2023). A systematic review of neuroimaging studies of clozapine-resistant schizophrenia. Schizophrenia, 9, Article 65. https://doi.org/10.1038/s41537-023-00392-7 Wong, T.Y., Fang, Z., Cheung, C., Wong, C.S.M., Suen, Y.N., Hui, C.L.M., Lee., E.H.M., Lui, S.S.Y., Chan, S.K.W., Chang, W.K., Sham, P.C., & Chen, E.Y.H. (2023). Unveiling Common Psychological Characteristics of Proneness to Aggression and General Psychopathology in a Large Community Youth Cohort. Translational Psychiatry, 13(1), 255, Article 255. https://doi.org/10.1038/s41398-023-02538-8 Ting Yat Wong, Zhiqian Fang, Charlton Cheung, Corine S. M. Wong, Yi Nam Suen, Christy L. M. Hui, Edwin H. M. Lee, Simon S. Y. Lui, Sherry K. W. Chan, Wing Chung Chang, Pak Chung Sham, Eric Y. H. Chen (2022). Dynamic patterns of symptoms and functioning in predicting deliberate self-harm in patients with first-episode schizophrenia-spectrum disorders over 3 years. Schizophrenia Bulletin, 48(5), 1043-1052. https://doi.org/10.1093/schbul/sbac057

Journal Publications
Tsui, H.K.H., Wong, T.Y., Sum, M.Y., Chu, S.T., Hui, C.L.M., Chang, W.C., Lee, E.H.M., Suen, Y., Chen, E.Y.H. (2025). Comparison of Negative Symptom Network Structures Between Patients With Early and Chronic Schizophrenia: A Network and Exploratory Graph Analysis. Schizophrenia Bulletin, 51 (3), 672–683. https://doi.org/10.1093/schbul/sbae135
SDGs infomation: 3 - Good Health and Well-Being
Wong, T.Y., Moore, T.M., Hillman, N., Calkins, M.E., Shahriar, S., Dietterich, T., Ruparel, K., Roalf, D.R., Wolf, D.H., Satterthwaite, T.D., Ered, A., Gur, R.E., Gur, R.C. (2025). Longitudinal Development of Neurocognitive Functioning and Gray Matter Volume in Youths With Recurrent Psychosis Spectrum Symptoms. Schizophrenia Bulletin, sbaf049, 1-10.
SDGs infomation: 3 - Good Health and Well-Being
Tsui, H.K.H., & Wong, T.Y., Ma, C.F., Wong, T.E., Hsiao, J., Chan, S.K.W. (2024). Reliability of theory of mind tasks in schizophrenia, ASD, and nonclinical populations: A systematic review and reliability generalization meta-analysis. Neuropsychology Review. https://doi.org/10.1007/s11065-024-09652-4
Ting Yat Wong, Hao Luo, Jennifer Tang, Tyler M. Moore, Ruben C. Gur, Yi Nam Suen, Christy Lai Ming Hui, Edwin Ho Ming Lee, Wing Chung Chang, Wai Ching Yan , Eileena Chui , Lap Tak Poon , Alison Lo , Koi-Man Cheung , Chui Kwan Kan , Eric Yu Hai Chen, Sherry Kit Wa Chan (2024). Development of an individualized risk calculator of treatment resistance in patients with first-episode psychosis (TRipCal) using automated machine learning: A 12-year follow-up study with clozapine prescription as a proxy indicator. Translational Psychiatry, 14, Article 50. https://doi.org/10.1038/s41398-024-02754-w
Tiffanie Sze Wing Pang, Johnny Siu Wah Chun, Ting Yat Wong, Sin Ting Chu, Chak Fai Ma, William G. Honer, Sherry Kit Wa Chan (2023). A systematic review of neuroimaging studies of clozapine-resistant schizophrenia. Schizophrenia, 9, Article 65. https://doi.org/10.1038/s41537-023-00392-7
Wong, T.Y., Fang, Z., Cheung, C., Wong, C.S.M., Suen, Y.N., Hui, C.L.M., Lee., E.H.M., Lui, S.S.Y., Chan, S.K.W., Chang, W.K., Sham, P.C., & Chen, E.Y.H. (2023). Unveiling Common Psychological Characteristics of Proneness to Aggression and General Psychopathology in a Large Community Youth Cohort. Translational Psychiatry, 13(1), 255, Article 255. https://doi.org/10.1038/s41398-023-02538-8
Ting Yat Wong, Zhiqian Fang, Charlton Cheung, Corine S. M. Wong, Yi Nam Suen, Christy L. M. Hui, Edwin H. M. Lee, Simon S. Y. Lui, Sherry K. W. Chan, Wing Chung Chang, Pak Chung Sham, Eric Y. H. Chen (2022). Dynamic patterns of symptoms and functioning in predicting deliberate self-harm in patients with first-episode schizophrenia-spectrum disorders over 3 years. Schizophrenia Bulletin, 48(5), 1043-1052. https://doi.org/10.1093/schbul/sbac057

Projects


Investigating Resilient Psychosocial Functioning in Youth Using Functional Brain Connectivity and Digital Phenotyping: Are Individuals with Higher Resilience More Distinctive? Mental health problems such as depression and anxiety are highly prevalent, yet population rates have not declined despite expanded services. To progress, prevention must complement treatment by promoting resilience—the capacity to adapt and recover from stress. This project examines how resilience relates to everyday digital behavior and brain connectivity in young adults. We will recruit 129 youths (18–24 years) in Hong Kong. Participants will complete questionnaires on psychosocial functioning and retrospective early-life stress (before age 18). For two months, we will collect smartphone data—GPS mobility and screen-time metrics—to capture real-world behavior. Each participant will also undergo resting-state MRI to map functional connectivity among brain networks. An outcome-based resilience score will be computed by integrating psychosocial wellbeing with early-life stress exposure. We will use computational methods to quantify the distinctiveness of each person’s digital and neural patterns and test the hypothesis that greater individual distinctiveness is associated with higher resilience. We will then develop machine learning models to predict resilience from multimodal features, identifying digital and brain connectivity signatures most strongly linked to adaptive functioning. By bridging psychology, neuroscience, and data science, this study aims to reveal modifiable digital and biological markers of resilience. Findings could inform personalized, just-in-time supports that reduce risk during periods of heightened stress, offering a proactive, wellness-focused complement to traditional, disease-oriented care. Project Start Year: 2026, Principal Investigator(s): WONG, Ting Yat SDGs Information: 3 - Good Health and Well-Being
Deviations of Normative Gray Matter Development and Cognition in Youth At-risk for Psychosis Cognitive dysfunction is a key feature of psychosis and schizophrenia, often preceding the emergence of psychotic symptoms including hallucinations or delusions. These difficulties are particularly salient during adolescence, a critical phase characterized by substantial brain development. Recent research suggests that deviation from normative brain development may be linked to psychosis. Yet, the relationship between atypical brain development and neurocognition in youths with persistent psychosis spectrum (PS) symptoms remains poorly understood. This study will employ machine learning on an open dataset to investigate these intricate relationships. Our approach involves constructing a normative growth model for gray matter volume using typically developing (TD) youths. We will then apply this model to youths displaying PS symptoms to quantify deviations from the normative developmental trajectories. Subsequently, we will identify subgroups of individuals exhibiting similar patterns of brain development deviations and investigate how these deviations are correlated with their neurocognitive performance and their enduring risk of developing psychosis during follow-up assessments. Project Start Year: 2025, Principal Investigator(s): WONG, Ting Yat SDGs Information: 3 - Good Health and Well-Being
Latent dimensions between exposome and functional brain connectivity linking to psychopathology in ABCD cohort This study aims to elucidate the complex relationships between environmental exposures and brain development during childhood and adolescence by analyzing data from the Adolescent Brain and Cognitive Development (ABCD) cohort. Using sparse redundancy analysis (sRDA), the research will identify latent dimensions of the exposome—encompassing factors like trauma, socioeconomic status, and pollution—and their impact on brain functional connectivity. The sRDA approach addresses multicollinearity and simplifies interpretation compared to canonical correlation analysis. Additionally, the study will investigate how these environmental influences affect the development of psychopathology, considering the potential mediating role of neurodevelopmental processes. By directly mapping broad environmental exposures to neurophysiological outcomes, this research aims to provide deeper insights into the interplay between environment and brain function, informing more effective interventions and prevention strategies for mental health disorders. Project Start Year: 2023, Principal Investigator(s): WONG, Ting Yat SDGs Information: 3 - Good Health and Well-Being, 11 - Sustainable Cities and Communities

Prizes and awards


Best Paper Award Date of receipt: /6/2025, Conferred by: The 2025 HKCPsych International Mental Health Congress
Best Paper Award Date of receipt: /6/2025, Conferred by: The 2025 HKCPsych International Mental Health Congress