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成功大學 臺北醫學大學 台北大學 成功大學 台灣大學
心理學系 醫學教育人文學科 競技運動訓練研究所 老年學研究所 腦與心智科學研究所
謝淑蘭 教授 楊政達 院長 姚在府 助理教授 張芸瑄 教授 吳恩賜 教授

成功大學醫學系小兒學科 成功大學醫學系精神科 成功大學臨床醫學研究所 中興大學基因體生物研究所
蔡孟哲 醫師副教授 王姿云 醫師副教授 林聖翔 教授 朱彥煒教授

Team Project Name Global Cooperation

Profiling and enhancing resilient brains longitudinally We can collaborate in following areas:
across the adult lifespan 1.Objective Biomarkers: we aims to develop objective
Research Project indicators of resilience. Collaborating with NIH could

With globalization and an aging population, humanity is enhance this objective by leveraging their extensive
resources and networks, possibly providing access to
facing more complex psychological challenges. In order to larger and more diverse populations for study or sharing
maintain normal psychological functioning in this scenario, biomarker databases.
we must understand the factors that equip humans 2.Multimodal Imaging Analysis: NIH could provide access
with sufficient psychological resilience to resist external to advanced imaging tools and expertise in multimodal
environmental pressures and further regulate and promote imaging that could enrich the analysis. We employed
psychological resilience. This research project will continue artificial intelligence techniques to integrate genetic,
and expand upon our studies in recent years, aiming to epigenetic, and brain imaging signatures, constructing
develop an objectively defined model of resilience. We will a predictive hybrid model of psychological resilience.
use diverse indicators (genetics, epigenetics, proteomics, Additionally, we developed a web-based prediction
brain imaging, behavior) and AI machine learning tool to assist individuals in adjusting their resilience
techniques to develop tools for identifying and predicting through monitoring and intervention. The research team
resilience. Currently, we have developed an online established a predictive platform and biomarker database
prediction calculator and a smartphone application for for resilient brains, analyzing high-dimensional data in
clinical convenience. Additionally, comparing the database epigenetics and brain imaging to enhance resilience and
built in this project with the Baltimore Longitudinal Study mental health.
of Aging (BLSA) database in the United States for 3.Model/theories formulate and test: NIH could offer
international studies can further identify which resilience- collaboration with experts in the field to further refine these
related factors are universally common and which are models based on the data collected.
culture-specific. For the promotion of psychological 4.Longitudinal Studies: Collaborating on longitudinal
resilience, we are attempting to develop diverse and multi- studies could be beneficial to both parties to monitor the
level intervention strategies, as well as expanding the impact of resilience over time.
possibilities for commercial applications. Mental illnesses 5.Population/Culture Diversity: NIH has a focus on
and dementia exhibit strong societal, cultural, and linguistic research that benefits a wide and diverse population. Our
commonalities. If Taiwan can make breakthroughs in brain team could be expanded with NIH support to include a
research, its applications can benefit not only the Chinese- broader demographic, enhancing the generalizability of
speaking population but also the international community. our current findings. For example, we are collaborating
Key Words with the National Institute on Aging, Baltimore Longitudinal

Genome-wide association study, Epigenetics, Genome- Study of Aging, to collect a sister database involving
human brain imaging, psycho-behavioral indices, and
wide DNA methylation, Magnetic resonance imaging, blood-related samples over the lifespan. We are also
Multimodal neuroimaging, Neuroimaging, Machine working with them to develop advanced data analytic
learning model, Neurocognitive approach, Brain structure techniques toward bridging knowledge gaps in human
and function, Default mode network, Prefrontal cortex, mental resilience.
Network stability, Active inference process, Artificial
intelligence, Machine learning, Psychological resilience, Project Web Page
Adversity, Adverse childhood experience, Cognitive
appraisal, Cognitive flexibility, Executive control, Emotional
regulation, Stress and trauma, National Cheng Kung
University, National Taiwan University, National Chung
Hsing University, National Tsing Hua University

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