Your browser does not support JavaScript!
Institute of Neuroscience, NYMU
Li-Hung Chang Assistant Professor
Li-Hung Chang Assistant Professor (Adjunct)
Tel: +886-2-2826-7977
Ph.D. in Cognitive Science, Brown University
Assistant Professor, Education Center for Humanities and Social Sciences, National Yang-Ming University


Research Interest

My research interest aims to explore cognitive neuroscience in aging and cortical plasticity. More specifically, I intend to investigate how the aging brain learns and its underlying neural mechanism associated with brain plasticity via visual perceptual learning paradigm using brain imaging techniques. Recently, the studies of perceptual learning has been shown that a high degree of plasticity of perceptual and cognitive system among the older population. Our currently research lies in its new approach applying both behaviors tests and brain imaging to conduct a systematic examination on the effect of aging among different visual and cognitive stages in both functional and structural observations associated with different brain areas. We hope these researches could provide more evidence on how different cortical system compensates the declined cognitive function by structural or functional changes as an evidence of brain plasticity over the course of a lifetime. It may help scientist on developing more efficient tools on clinical diagnosis or rehabilitation with cognitive and perceptual impaired patients due to aging or brain injury based on our new understanding on the effect of aging in the cognitive and perceptual processing. 


Invited Lectures/Publications

Shibata, K., Sasaki, Y., Bang J.W., Walsh, E., Machizwa, M.G., Masako, T., Chang, L.-H. & Watanabe, T. (2017) Overlearning hyper-stabilizes a skill by rapidly making neurochemical processing inhibitory-dominant. Nature Neuroscience, Jan;30 

Chang, L.-H*., Yotsumoto, Y.*, Salat, D., Andersen, G. J., Watanabe, T., & Sasaki, Y (2015). Reduction in the retinotopic early visual cortex with normal aging and magnitude of perceptual learning. Neurobiology of Aging, Jan; 36(1); p315-322. (*Equal contributions) 

Chang, L.-H., Shibata, K., Andersen, G. J., Sasaki, Y, & Watanabe, T. (2014). Age-related declines of stability in visual perceptual learning. Current Biology, 24(24):2926-9. 

Yotsumoto, Y.*, Chang, L.-H.*, Ni, R., Pierce, R., Andersen, G. J., Watanabe, T., & Sasaki, Y. (2014) White matter in the older brain is more plastic than in the younger brain., Nature Communications, Nov; 5:5504. (*Equal contributions)

Yotsumoto Y., Watanabe, T., Chang, L.-H., & Sasaki, Y. (2013). Consolidated learning can be susceptible to gradually-developing interference in prolonged motor learning. Front. Comput Neurosci, May 28;7:69.

Shibata, K., Chang, L.-H., Kim, D., Nanez, J., Kamitani, Y., Watanabe, T., & Sasaki, Y. (2012). Decoding Reveals Plasticity in V3A as a Result of Motion Perceptual Learning. PLoS One, Aug; 7(8): e44003, Epub.

Choi, H., Chang, L.-H., Shibata, K., Sasaki, Y., & Watanabe, T. (2012). Resetting capacity limitations: Long-lasting elimination of attentional blink by training. Proc Natl Acad Sci (PNAS), Jul;109(30):12242-7.

Yotsumoto Y., Chang, L.-H., Watanabe, T., & Sasaki, Y. (2009). Interference and feature specificity in visual perceptual learning. Vision Research, Oct;49(21):2611-23. 

Voice Play