CHAN HUI LINGHUI LING CHAN

Last Updated :2023/03/03

所属・職名
脳・こころ・感性科学研究センター　特任助教
メールアドレス
chanhlhiroshima-u.ac.jp
自己紹介
Hui-Ling Chan is a brain scientist trained with computer science and engineering. She received the PhD degree from National Chiao Tung University, Taiwan, in 2015. During 2013-2014, she visited the Montreal Neurological Institute, McGill University, Canada. Her expertise is in developing brain mapping algorithms and analysis tools for understanding how the human brain works. Her research interest is to advance mental health and precision medicine with brain mapping, peripheral physiological measurements, and machine learning & deep learning techniques. She is currently the assistant professor (special appointment) in the Center for Brain, Mind, and Kansei sciences research, Hiroshima University. Her research projects cover biomarker identification and neural mechanism investigation for mental diseases.

基本情報

主な職歴

  • 2013年04月, 2014年04月, McGill University, Montreal Neurological Institute, Research Trainee
  • 2015年07月23日, 2017年12月31日, National Chiao Tung University, Department of Computer Science, Postdoctoral Researcher
  • 2018年01月02日, 2019年09月11日, Industrial Technology Research Institute, Machine Learning Engineer

学歴

  • National Taiwan Normal University, Department of Life Science, Life Science, Taiwan, 2001年.0月, 2005年.0月
  • National Chiao Tung University, Institute of Computer Science and Engineering, Computer Science, Taiwan, 2007年.0月, 2015年.0月

研究分野

  • 情報学 / 人間情報学 / 認知科学
  • 情報学 / 情報学フロンティア / 生命・健康・医療情報学

研究キーワード

  • depression
  • interoception
  • human brain mapping
  • Neuroscience
  • deep learning
  • machine learning
  • photoplethysmography (PPG)
  • electrocardiography (ECG)
  • magnetoencephalography (MEG)
  • heart rate variability (HRV)

所属学会

  • The Japan Neuroscience Society

研究活動

学術論文（★は代表的な論文）

  1. ★, A novel beamformer-based imaging of phase–amplitude coupling (BIPAC) unveiling the inter-regional connectivity of emotional prosody processing in women with primary dysmenorrhea, Journal of Neural Engineering, 18巻, 046074号, 20210609

招待講演、口頭・ポスター発表等

  1. Interoceptive brain systems predict somatic symptoms in major depression, Hui-Ling Chan, A Fermin, M Takamura, N Ichikawa, T Sasaoka, S Yamawaki, The CINP 2021 Virtual World Congress, 2021年, 通常, 英語, The International College of Neuropsychopharmacology, Online
  2. Alterations in the brain interoceptive network linked to abnormal cardiac autonomic regulation in major depressive disorder, Hui-Ling Chan, A Fermin, M Takamura, N Ichikawa, A Yoshino, G Okada, Y Okamoto, S Yamawaki, The 42nd International Neuroscience Symposium of the Université de Montréal, 2021年, 通常, 英語, Université de Montréal, Montreal
  3. Cardiac responses to uncertainty and heart-brain relations reflect depressed mood, Hui-Ling Chan, MG Machizawa, N Kanayama, M Kai, R Mizuochi, S Yamawaki, The 44th Annual Meeting of the Japan Neuroscience Society, 通常, 英語, Japan Neuroscience Society, Kobe
  4. Oscillatory brain activity modulated by prediction accuracy of visual imagery, Hui-Ling Chan, Kentaro Ono, Junya Hashimoto, Ryosuke Hiramoto, Takafumi Sasaoka, Shigeto Yamawaki, The 43rd Annual Meeting of the Japan Neuroscience Society, 通常, 英語

外部資金

競争的資金等の採択状況

  1. 科学研究費助成事業, 経皮的迷走神経刺激術による新しい切迫性尿失禁治療法の開発, 2021年.4月, 2025年.3月
  2. 科学研究費助成事業, Automatic assessment of somatic depressive symptoms from physiological signals, 2020年04月01日, 2022年03月31日