Publications

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