Welcome!
Greetings! I’m Liangfang Li (李良芳), a fifth-year Ph.D. candidate in the Department of Psychology at Sun Yat-sen University. I’m honored to be under the guidance of Prof. Zhengjia Dai, whose mentorship has been invaluable to my research journey.
My academic passion lies in leveraging advanced neuroimaging techniques to elucidate the neural mechanisms underlying psychiatric disorders, cognitive processes, and emotions. I hope my efforts will make a meaningful contribution to the field of precision neuroimaging.
Outside of my research, I’m an avid dog enthusiast with a special fondness for Golden Retrievers and Samoyeds, and I look forward to welcoming a furry companion into my life after I obtain my Ph.D. degree. In my free time, I stay active with badminton and music, and I’m also a devoted fan of DaoYueShe (盗月社食遇记), a popular Chinese food vlog.
Research Interests
My current research focuses on the following areas:
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Precision Brain Mapping
- Developing novel approaches for individual-specific brain parcellation
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Translational Neuroscience and Personalized Neuromodulation
- Identifying circuits associated with psychiatric disorder
- Exploring personalized neuromodulation strategies for clinical applications
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Computational Neuroscience
- Applying advanced machine learning and AI techniques to neuroimaging data analysis
- Developing computational models to simulate and predict brain function and dysfunction
Education Experience
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2018/09 - present: Ph.D. candidate, Department of Psychology, Sun Yat-sen University (中山大学, SYSU), Guangzhou, China. Supervisor: Prof. Zhengjia Dai
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2014/09 - 2018/06: B.S. in Psychology (with honors), Department of Psychology, Sun Yat-sen University (中山大学, SYSU), Guangzhou, China
Recent News
- [2024/11/19] Successfully defended my doctoral dissertation and was recommended for the university-level Outstanding Doctoral Thesis award—double the joy! From now on, I’ll be Dr. Li!!!
- [2024/09] Completed the draft of Ph.D. thesis: “Research on Individualized Brain Functional Networks and Their Prediction of Major Depressive Disorder Severity”
- [2024/06] Presented a poster at the 30th Organization for Human Brain Mapping (OHBM) Annual Meeting in Seoul, Korea
- [2023/06] Presented a poster at the 29th OHBM Annual Meeting in Montréal, Canada (Virtual)
- [2023/06] Published: “The relationship between personality traits and well-being via brain functional connectivity” in Journal of Happiness Studies
- [2022/12] Published: “Common and distinct neural substrates of the compassionate and uncompassionate self-responding dimensions of self-compassion” in Brain Imaging and Behavior
- [2021/11] Published my first first-author paper, “Gene expression associated with individual variability in intrinsic functional connectivity”, in Neuroimage. So excited!
- [2020/09] Commenced Ph.D. studies at Sun Yat-sen University
- [2019/12] Poster accepted for the 26th OHBM Annual Meeting in Montréal, Canada
- [2018/09] Began graduate studies at Sun Yat-sen University
- [2018/06] Awarded Bachelor’s degree in Psychology from Sun Yat-sen University
Selected Publications
Gene expression associated with individual variability in intrinsic functional connectivity.
Liangfang Li, Yongbin Wei, Jinbo Zhang, Junji Ma, Yangyang Yi, Yue Gu, Liman Man Wai Li, Ying Lin, Zhengjia Dai
The Relationship Between Personality Traits and Well-Being via Brain Functional Connectivity.
Liangfang Li, Liman Man Wai Li, Junji Ma, Anru Lu, Zhengjia Da
Common and distinct neural substrates of the compassionate and uncompassionate self-responding dimensions of self-compassion.
Yuyin Wang*, Ruizhen Wu*, Liangfang Li*, Junji Ma, Wanting Yang, Zhengjia Dai
Honors
- National Scholarship for Doctoral Students, 2022
- Second Prize, Sun Yat-sen University Doctoral Scholarship, 2022
- Third Prize, Sun Yat-sen University Doctoral Scholarship, 2021, 2020
- Second Prize, Sun Yat-sen University Master’s Scholarship, 2019, 2018
- Among others
Technical Skills
- Operating Systems: Windows, Linux
- Programming Languages: MATLAB, Python, R
- Data Management: MySQL
- Statistical Software: Mplus, SPSS
- Version Control: Git
- Neuroimaging Data Processing:
- Cortical Analysis: FreeSurfer, FSL, fMRIPrep, BIDS
- Voxel-based Analysis: SPM, DPABI, GRETNA, BrainNet Viewer, MRIcron
- Languages: Chinese (Native), English (Fluent)
Teaching Experience
Teaching Assistant for various courses, including:
- Introduction to Cognitive Neuroscience (2020, 2022)
- Neuroimaging Methodologies and Mental Health (2021)
- Advanced Magnetic Resonance Imaging Data Analysis (Graduate Level, 2020)
- Principles of Educational Assessment (2019)
- Special Topics on Psychometrics (Graduate Level, 2018)