Educations
Ph.D. in Cognitive Science (2014)
Brown University, Providence, RI
M.A. in Psychology (2008)
Boston University, Boston, MA
Positions
2023-Present, Associate Dean, Liberal Arts College,
National Yang Ming Chiao Tung University, Taiwan
2023-Present, Associate Professor, Institute of the Neuroscience,
National Yang Ming Chiao Tung University, Taiwan
2023-Present, Associate Professor, (Joint Appointment),Institute of Philosophy of Mind and Cognition,
National Yang Ming Chiao Tung University, Taiwan
2023, Associate Professor (Joint Appointment), Institute of Neuroscience,
National Yang Ming Chiao Tung University, Taiwan
2022-2023, Assistant Professor,Institute of Philosophy of Mind and Cognition,
National Yang Ming Chiao Tung University, Taiwan
2022-2023, Assistant Professor (Joint Appointment), Institute of Neuroscience,
National Yang Ming Chiao Tung University, Taiwan
2021, Assistant Professor, Education Center for Humanities and Social Sciences,
National Yang Ming Chiao Tung University, Taiwan
2017-2021, Assistant Professor (Joint Appointment), Institute of Neuroscience,
National Yang-Ming University, Taiwan
2014-2021, Assistant Professor, Education Center for Humanities and Social Sciences,
National Yang-Ming University, Taiwan
2014, Postdoctoral Fellow, Department of Cognitive, Linguistic, & Psychological Sciences,
Brown University, Providence, RI
Honors
2024, Senior Fellow (SFHEA), Advance HE, UK
2023, Outstanding Teacher Award,
The Association of Science Education Taiwan, Republic of China
2023, Excellent Teaching Award,
National Yang Ming Chiao Tung University, Taiwan
2021, Future Tech Award,
Ministry of Science and Technology, Taiwan
2020, The 9th Distinguished Award for General Education Teachers,
Ministry of Education, Taiwan
2021, Outstanding Undergraduate Teaching (Student’s Choice Award),
National Yang Ming Chiao Tung University, Taiwan
2020, Outstanding Undergraduate Teaching (Student’s Choice Award),
National Yang-Ming University, Taiwan
2018, Outstanding Teaching Award,
National Yang-Ming University, Taiwan
2018, Excellent Tutor Award,
National Yang-Ming University, Taiwan
2018, Teaching Excellence Award,School of Humanities and Social Sciences,
National Yang-Ming University, Taiwan
2017, Excellence in Teaching Award, School of Medicine,
National Yang-Ming University, Taiwan
2014-2023, Excellence in Teaching Award (Web-based assessment), School of Medicine,
National Yang-Ming University, Taiwan (12-time awardee)
2014, Fall 2014 Outstanding Paper Award, School of Humanities and Social Sciences,
National Yang-Ming University, Taiwan
Representative Papers
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- Liu, Y.-H., Lin, Y.-C., Shih, L.-C., Lin, C.-P., & Chang, L.-H.* (2024), Dissociation of Focal and Large-Scale Inhibitory Functions in the Older Adults: A Multimodal MRI Study. Archives of Gerontology and Geriatrics, 127:105583 (*Corresponding author)
- Lin, N., S.-H., Lien, Y., Shibata, K., Sasaki, Y., & Watanabe, T., Lin, C.-P.,Chang, L.-H. *(2023), The phase of plasticity-induced neurochemicalchanges of high-frequency repetitive transcranial magnetic stimulationare different from visual perceptual learning.Scientific Reports, 13: 5720.(SCI) (*Corresponding author)
- Lin, Y.-C.#, Lien, Y.#, Lin, N., S.-H., Kung, Y.-C., Huang, C.-C., Lin, C.-P.,Chang, L.-H.*(2022). Baseline cerebro-cerebellar functional connectivity in afferent and efferentpathways reveal dissociable improvements in visuomotor learning. Frontiers in Neuroscience, 16:904564 (*Corresponding author)
- Lin, Y.-C., Chung, C.-P., Peng, L.-N., Lee, W.-J., Lee, P.-L., Chou, K.-H.,Chang, L.-H., Lin, S.-Y., Lee, Y.-J., Lin, C.-P., Wang, P.-N. (2022), The Flexibility of Physio-Cognitive Decline Syndrome: A Longitudinal Cohort Study. Frontiers in Public health, 10:820383
- Lien, Y., Lin, Y.-C., Lin, N., S.-H., Lin, C.-P., Chang, L.-H.* , (2022). Frequency-dependent effects of cerebellar rTMS on visuomotor accuracy. Frontiers in Neuroscience, 16: 804027 (*Corresponding author)
- Lin, Y.-C., Hsu, C.-C. H., Wang, P.-N., Lin, C.-P., Chang, L.-H*. (2020). The relationship between Zebrin expression and Cerebellar functions: Insights from Neuroimaging studies. Frontiers in Neurology, Applied Neuroimaging, Manuscript Accepted. (*Corresponding author)
- Kang, D., Kim, D., Chang, L.-H., Kim, Y., Takahash, E., Cain, M.S., Watanabe, T., Sasaki, Y. (2018). Structural and Functional Connectivity Changes Beyond Visual Cortex in a Later Phase of Visual Perceptual Learning. Scientific Reports, Mar 26;8(1):5186
- 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, Mar;20(3):470-475
- 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. (SCI) (*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.
Research Interest
The aging process in the brain is characterized by both global and localized structural atrophy and functional declination, yet older individuals can still maintain cognitive function through mechanisms like compensation, as evidenced by brain plasticity in older adults. We investigate the mechanism of brain plasticity within the cognitive and perceptual systems of older adults by focusing on visual perceptual learning and visuomotor learning as well as brain plasticity paradigms. Our goal is to understand the intricate relationship among aging, learning, and brain plasticity.
The key research inquiries addressed in our laboratory are as follows:
1. What are the effects of aging on our cognition and brain function?
2. Can cognitive and perceptual functions in older individuals be enhanced through external stimuli or cognitive training?
Topic One: Aging and Visual Plasticity in the Visual System
Visual perceptual learning refers to long-term changes in the perceptual system resulting from repetitive practice or external perceptual experiences. It is widely considered to be evidence of the intrinsic plasticity of the human visual system, even in adulthood. We have found that, even in older individuals with declining cognitive function, their perceptual and cognitive abilities can be altered through prolonged and extensive training. These changes are associated with alterations in the brain structure,inhibitory processing deficits, and the modulation of neurotransmitters in the visual system.
Yotsumoto, Chang et al., (2014), Nature Communications
Topic Two: Aging and Plasticity in the Cerebral-Cerebellar Loops
Recently, numerous studies have found that cerebellar aging is associated with cognitive decline in older individuals, particularly in terms of overall response speed and individual differences among different cognitive tasks, offering a cerebellar-based perspective on cognitive aging. Therefore, we investigate the impact of aging on cerebellar structure, the brain activation of cerebral-cerebellar networks, and neurotransmitter levels through cognitive tasks involving the cerebellum. Our goal is to establish a comprehensive framework of the cortical-cerebellar circuits and observe plasticity in this circuitry through cognitive training, thereby exploring the relationship between cortical-cerebellar circuits and cognitive function.
Lien et al., (2022), Lin et al., (2022), Frontiers in Neuroscience
Topic Three: Transcranial Magnetic Stimulation and Brain Plasticity
Transcranial magnetic stimulation (TMS)is a non-invasive technique that can modulate cortical activity by generating induced magnetic fields through changes in electrical current using a specialized coil. In recent years, repetitive transcranial magnetic stimulation (rTMS) has shown promise in improving depressive symptoms, especially in patients with treatment-resistant depression. In our laboratory, we apply the frequency-dependent effects of rTMS to investigate the impact of different stimulation frequencies on cognitive function, perceptual learning, visual-motor skills, and motor adaptation processes. We combine brain imaging and magnetic resonance spectroscopy techniques to explore the potential neural mechanisms underlying the relationship between transcranial magnetic stimulation and brain plasticity.
Lin et al., (2023), Scientific Reports
Research Tools:
Psychological and behavioral experiments, retinotopic mapping analysis, functional magnetic resonance imaging (fMRI),magnetic resonance spectroscopy (MRS), and transcranial magnetic stimulation (TMS).
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