Publications

Or, J. K. N., & Chang, D. H. F. (2024). cTBS over ventral cortex enhances depth perception. Frontiers in Neuroscience, 18:1499030, https://doi.org/10.3389/fnins.2024.1499030

Sun, Q., Dong, L.-L., You, F.-H., & Chang, D. H. F. (2024). Estimations of biological motion walking direction are affected by observer and walker genders. BMC Psychology, 12:698, 1-15.https://doi.org/10.1186/s40359-024-02189-4

Kam, K. Y., & , Chang, D. H. F. (2024). The neurochemistry of learning-driven sensory eye dominance plasticity. Imaging Neuroscience, 2, 1-18. https://doi.org/10.1162/imag_a_00237

Klugah-Brown, B., Bore, M. C., Liu, X., Gan, X., Biswal, B. B., Kendrick, K., Chang, D. H. F., Zhou, B., & Becker, B. (2024).The neurostructural consequences of glaucoma and their overlap with disorders exhibiting emotional dysregulations: a voxel-based meta-analysis and tripartite system model. Journal of Affective Disorders, 358, 487-499. https://doi.org/10.1016/j.jad.2024.05.016s

Meier, K., Chang, D. H. F., Reynaud, A., & Kelly, K. R. (2024). Editorial: Rising stars in visual neuroscience: 2022. Frontiers in Neuroscience,18:1418533, https://doi.org/10.3389/fnins.2024.1418533

Kam K. Y., & Chang, D. H. F. (2023). Sensory eye dominance plasticity in the human adult visual cortex. Frontiers in Neuroscience, 17:1250493. https://doi.org/10.3389/fnins.2023.1250493

Zhen, L., & Chang, D. H. F. (2023). Context-based modulations of 3D vision are expertise-dependent. Cerebral Cortex, 33(11), 7136–7147. https://doi.org/10.1093/cercor/bhad026

Troje, N. F., & Chang, D. H. F. (2023). Life detection from biological motion. Current Directions in Psychological Science, 32(1), 26-32. https://doi.org/10.1177/09637214221128252

Chen, L. H., Law, W., Chang, D. H. F., & Sun, D. (2023). Editorial: The bio-psycho-social approach to understanding mental disorders. 14:1225433, 1-3. https://doi.org/10.3389/fpsyg.2023.1225433

Chan, A. Y. C., & Chang, D. H. F. (2022). Neural correlates of sensory eye dominance in human visual white matter tracts. eNeuro, 9(6):1-11. ENEURO.0232-22.2022; DOI: https://doi.org/10.1523/ENEURO.0232-22.2022

Wong, N. H. L., & Chang, D. H. F. (2022). Uncovering the locus of object-context-based modulations in depth processing using repetitive transcranial magnetic stimulation. eNeuro, 9(4): 1-8. https://doi.org/10.1523/ENEURO.0217-22.2022

Chang, D. H. F., Thinnes, D., Au, P. Y., Maziero, D., Stenger, V. A., Sinnett, S., & Vibell, J. (2022). Sound-modulations of visual motion perception implicate the cortico-vestibular brain. NeuroImage, 257:119285, 1-11. https://doi.org/10.1016/j.neuroimage.2022.119285

Wong, J. J., Wong, N. M. L., Chang, D. H. F., Di, Q., Chen, L., & Lee, T. M. C. (2022). Amygdala–Pons connectivity is hyperactive and associated with symptom severity in depression. Communications Biology, 5(574), 1-11. https://doi.org/10.1038/s42003-022-03463-0

Chou, I. W. Y., Ban, H., & Chang, D. H. F. (2021). Modulations of depth responses in the human brain by object context: Does biological relevance matter? eNeuro, 8(4), 1-14. https://doi.org/10.1523/ENEURO.0039-21.2021

Kam, K. Y., & Chang, D. H. F. (2021). Dichoptic perceptual training and sensory eye dominance plasticity in normal vision. Investigative Ophthalmology & Visual Science, 62(7):12. https://doi.org/10.1167/iovs.62.7.12 .

Tso, W. W. Y., Hui, S. H., Lee, T. M. C., Liu, A. P. Y., Ip, P., Cheng, K., Fong, D., Chang, D. H. F., Ho, F. K. W., Yip, K. M., Ku, D., Cheuk, K. L., Luk, C. W., Shing, M. K., Leung, L. K., Khong, P. L., Chan, G. C. F. (2021). Microstructural brain changes associated with neurocognitive and functional outcomes of intra-cranial germ cell tumor (GCT) survivors – a diffusion kurtosis study. Frontiers in Oncology, 11, 573798, 1-9. https://doi.org/10.3389/fonc.2021.573798 .

Chang, D. H. F., Troje, N. F., Ikegaya, Y., Fujita, I., & Ban, H. (2021). Spatiotemporal dynamics of responses to biological motion in the human brain. Cortex, 136, 124-139. https://doi.org/10.1016/j.cortex.2020.12.015 .

Chang, D. H. F., Jiang, B., Wong, N. H. L., Wong, J. J., Webster, C., & Lee, T. M. C. (2020). The human posterior cingulate and the stress-response benefits of viewing green urban landscapes. NeuroImage, 226:117555. https://doi.org/10.1016/j.neuroimage.2020.117555 .

Di, Q., Lam, C. L. M., Wong, J. J., Chang, D. H. F., & Lee, T. M. C. (2020). Positive affect is inversely related to the salience and emotion network’s connectivity. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-020-00397-1 .

Wong, J. J., Chang, D. H. F., Di, Q., Men, W., Gao, J. H., & Lee, T. M. C. (2020). The pontine-driven somatic gaze tract contributes to affective processing in humans. NeuroImage, 213: 116692, 1-11. https://doi.org/10.1016/j.neuroimage.2020.116692 .

Wong, N. H. L., Ban, H., & Chang, D. H. F. (2020). Human depth representations are affected by object plausibility. Journal of Cognitive Neuroscience, 32(2), 1-15. https://doi.org/10.1162/jocn_a_01483

Goddard, E., Chang, D. H. F., Hess, R. F., & Mullen, K. T. (2019). Color contrast adaptation: fMRI fails to predict behavioral adaptation. NeuroImage, 201:116032, 1-13. https://doi.org/10.1016/j.neuroimage.2019.116032

Lee, K. S., & Chang, D. H. F. (2019). Biological motion perception is differentially predicted by Autistic trait domains. Scientific Reports, 9:11029. https://doi.org/10.1038/s41598-019-47377-0

Chang, D. H. F., Cheang, Y. Y., & So, M. (2018). Contextual effects in face lightness perception are not expertise-dependent. Vision, 2(2), 23, 1-14. https://doi.org/10.3390/vision2020023

Chang, D. H. F., Ban, H., Ikegaya, Y., Fujita, I., & Troje, N. F. (2018). Cortical and subcortical responses to biological motion. NeuroImage, 174, 87-96. https://doi.org/10.1016/j.neuroimage.2018.03.013

Wong, N. H. L., & Chang, D. H. F. (2018). Attentional advantages in video-game experts are not related to perceptual tendencies. Scientific Reports, 8:5528, 1-9. https://doi.org/10.1038/s41598-018-23819-z

Chang, D. H. F., Hess, R. F., & Mullen, K. T. (2016). Color responses and their adaptation in human superior colliculus and lateral geniculate nucleus. NeuroImage, 138, 211-220. https://doi.org/10.1016/j.neuroimage.2016.04.067

Sun, H.-C., Welchman, A. E., Chang, D. H. F., & Di Luca, M. (2016). Look but don’t touch: Visual information about surfaces decoded in somatosensory cortex. NeuroImage, 128, 353-361. https://doi.org/10.1016/j.neuroimage.2015.12.054

Mullen, K. T., Chang, D. H. F., & Hess, R. F. (2015). The selectivity of responses to red-green color and achromatic contrast in the human visual cortex: an fMRI study. European Journal of Neuroscience, 42(11), 2923-2933. https://doi.org/10.1111/ejn.13090

Ban, H., Chang, D. H. F., & Welchman, A.E. (2015). The processing and integration of 3D depth signals in the human visual cortex revealed by fMRI and TMS. Journal of Information and Television Engineers, 69(6), 22-27

Chang, D. H. F., Mevorach, C., Kourtzi, Z., & Welchman, A. E. (2014). Training transfers the limits on perception from parietal to ventral cortex. Current Biology, 24, 2445-2450. https://doi.org/ 10.1016/j.cub.2014.08.058

Chang, D. H. F., Kourtzi, Z., & Welchman, A. E. (2013). Mechanisms for extracting a signal from noise as revealed though the specificity and generality of task training. Journal of Neuroscience, 33(27), 10962-10971. https://doi.org/10.1523/JNEUROSCI.0101-13.2013

Troje, N. F., & Chang, D. H. F. (2013). Shape-independent processing of biological motion. In K. Johnson, M. Shiffrar (Eds.), People Watching: Social, Perceptual, and Neurophysiological Studies of Body Perception. Oxford University Press.

Hirai, M., Chang, D. H. F., Saunders, D. R., & Troje, N. F. (2011). Body configuration modulates the usage of local cues to direction in biological motion perception. Psychological Science, 22 ,1543–1549. https://doi.org/10.1177/0956797611417257

Chang, D. H. F., Harris, L. R., & Troje, N. F. (2010). Frames of reference for biological motion and face perception. Journal of Vision, 10(6):22, 1–11. https://doi.org/10.1167/10.6.22

Chang, D. H. F., & Troje, N. F. (2009). Characterizing global and local mechanisms in biological motion perception. Journal of Vision, 9(5):8, 1-10. https://doi.org/10.1167/9.5.8

Chang, D. H. F., & Troje, N. F. (2009). Acceleration carries the local inversion effect in biological motion perception. Journal of Vision, 9(1):19, 1-17. https://doi.org/10.1167/9.1.19

Chang, D. H. F., & Troje, N. F. (2008). Perception of animacy and direction from local biological motion signals. Journal of Vision, 8(5):3, 1-10. https://doi.org/10.1167/8.5.3

Wang, J., & Chang, D. H. F. (2026). Combined effects of iTBS and perceptual learning on enhancing binocular balance. Cortex, 200, 124-135. https://doi.org/10.1016/j.cortex.2026.04.012

Wang, J., Cheong, A. M. Y., & Chang, D. H. F. (2026). Changing sensory eye dominance with theta burst stimulation over visual cortex. Neuromodulation: Technology at the Neural Interface. https://doi.org/10.1016/j.neurom.2026.04.010

Kam, K. Y., & Chang, D. H. F. (2026). Retinal-specificity of sensory eye dominance and its learning-induced improvements. Investigative Ophthalmology & Visual Science, 67(44), 1-16. https://doi.org/10.1167/iovs.67.4.44

Kam, K. Y., Ng, L. C. H., & Chang, D. H. F. (2026). Mitigating age-related stereo decline with perceptual training. iScience, 29(4): 115485, 1-13. https://doi.org/10.1016/j.isci.2026.115485

Aggarwal, H., Ponce, A. F., Shankar, S., Torre, J. J., Thual, A., Pinho, A. L., et al., (2026). Individual brain charting: fifth release of high-resolution fMRI data for cognitive mapping. Scientific Data, 13(593), 1-19. https://doi.org/10.1038/s41597-026-06869-1

Cao, Y., Li, T., Tribby, C., Liu, J., & Chang, D. H. F. (2026) Environmental exposure and mental health: protocol for a GPS-Biosensor based observational study in Hong Kong. JMIR Research Protocols, 15:e84919, https://doi.org/10.2196/84919

Jia, S., Mei, X., Chen, L., Chan, L. H., Tsang, C., Suen, V, Li, T., Zaw, M. W., Liu, A., Thompson, B., Sabel, B., Woo, G., Leung, C. K. S., Yip, S.-P., Chang, D. H. F., & Cheong, A. M. (2025). Glaucoma Rehabilitation using ElectricAI Transcranial Stimulation (GREAT)—study protocol for randomized controlled trial using combined perceptual learning and transcranial electrical stimulation for vision enhancement. Trials, 25(1), 501.

Li, W. O., Yuen, K. S. L., Chang, D. H. F., & Yu, C. K. C. (2025). Studying the aftereffect and changes in sensitivity to physical and mental time references using a time adaptation paradigm. Scientific Reports, 15(1), 30043.

Zhou, Y., Lei, G. L. T., Chang, D. H. F., & Lam, C. L. M. (2025). Predicting the treatment outcomes of major depressive disorder interventions with baseline resting-state functional connectivity: A meta analysis. BMC Psychiatry, 25(1), 340. https://doi.org/10.1186/s12888-025-06728-0

Klincewicz, M., Cheng, T., Schmitz, M., Sebastian, M.-A., Snyder, J. S., IIT concerned et al., What makes a theory of consciousness unscientific? (2025). Nature Neuroscience, 28, 689–693.