Date:
2025.4.16(Wed) 11:00-12:00(UTC+8)
Venue:
Zoom online meeting
Moderator:
Yang, Fan-pei (Professor, NTHU Department of Foreign Languages and Literature)
楊梵孛教授｜國立清華大學外國語文學系
Speaker:
Hanna LU (Assistant Professor and Deputy Director of the Neuromodulation Clinic and Dementia Research Unit at the Department of Psychiatry, the Chinese University of Hong Kong)
路翰娜助理教授｜香港中文大學精神科學系
Minute Taker:
Max 王祥宇
Lecture Poster
Speech Record
The lecture “AI-driven Imaging Phenotypes in Studying Cognitive Functions in Ageing Populations” led by Professor Lu and hosted by Professor Yang, introduced a multidisciplinary exploration of artificial intelligence (AI), neuroimaging, and cognition, with a particular focus on aging populations. This speech was delivered entirely in English, providing students with an immersive English-language academic environment aligned with global education standards. Professor Lu began by linking the science-fiction film Arrival(異星入境) to the transformative power of learning new cognitive frameworks, drawing parallels between language, cognition, and brain research. She then detailed her own journey from clinical psychiatry to becoming a neuroscientist, emphasizing her research in neuroimaging and its relevance to aging societies, especially in East Asia. The lecture covered neuroimaging modalities such as MRI, EEG, PET, and SPECT, with a particular focus on MRI’s capacity to map structural and functional changes in the brain. One innovative concept highlighted was the “brain age” model, which estimates an individual’s brain age using AI and morphometric features extracted from MRI scans. This brain age, when compared to chronological age, offers insights into normal and accelerated brain aging.
Professor Lu also discussed the application of this model in clinical research, particularly in studying cognitive decline and treatment prediction. A key part of the talk examined how brain age correlates with performance on cognitive tasks such as the Category Verbal Fluency Test (CVFT), a quick and effective tool to detect mild cognitive impairments. In a cohort study, CVFT performance aligned with different levels of cognitive function and was strongly linked to brain morphometry. Furthermore, Professor Lu presented a clinical trial on transcranial magnetic stimulation (TMS), where brain age was used to predict patient responsiveness to neuromodulation therapy. Results showed that participants with younger brain ages responded better to TMS, particularly in improving cognition. This predictive power of brain age modeling offers promise for personalizing treatments and monitoring disease progression. The session concluded with an invitation to explore opportunities at CUHK and encouraged students to consider studying in Hong Kong, highlighting its academic strength and vibrant campus life.
舉辦於2025年4月16日之「AI-driven Imaging Phenotypes in Studying Cognitive Functions in Ageing Populations」講座，邀請到來自香港中文大學精神科學系的路翰娜助理教授主講，演講內容融合人工智慧（AI）、腦影像學與認知科學，並聚焦於高齡化社會的相關議題。此講座全程以英文進行，營造沉浸式的EMI（全英語教學）學習環境，有助於學生接軌國際學術標準。路教授從科幻驚悚電影《異星入境》切入，引出語言與認知的關聯，並分享她從精神科醫師轉向神經科學家的研究歷程。課程介紹多種腦影像技術（如MRI、EEG、PET及SPECT），並著重於MRI在觀察腦部結構與功能變化的優勢。她進一步說明創新的「腦齡」模型，透過AI分析MRI數據來估算個體的腦部年齡，進而判斷是否存在加速老化現象。此外，路教授也介紹了「語意流利度測驗（CVFT）」在檢測早期認知退化的應用，並展示一項臨床試驗，證明腦齡模型可預測經顱磁刺激（TMS）治療的成效，腦齡較年輕的個體反應較佳。講座最後鼓勵學生探索香港中文大學的學術與交流機會，並強調其卓越的國際排名與優美的校園環境。
Online Lecture Screenshot
