Wutao LOU Ph.D.
婁武濤 博士
Lecturer, Department of Biomedical Engineering
The Chinese University of Hong Kong
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Dr. Wutao Lou received his B.Eng. in Medical Information Engineering from Sichuan University in 2009, followed by an M.Eng. in Biomedical Engineering from Xi’an Jiaotong University in 2012. He completed his Ph.D. in Imaging and Interventional Radiology at CUHK in 2016, where he was honored with the Postgraduate Research Output Award in 2015. Then, he worked as a postdoctoral fellow in the Division of Neurology, Department of Medicine and Therapeutics at CUHK. In February 2020, he joined the Department of Biomedical Engineering as a lecturer.
Dr. Lou is deeply committed to advancing knowledge in neuroengineering, with a particular focus on its applications in aging and pain relief. His interdisciplinary research integrates neuroimaging, biomedical signal processing, and machine learning to explore innovative solutions for improving brain health.
Research Interests
Pain & Brain
Aging & Cognitive Impairment
Dynamic Functional Connectivity
Simultaneous EEG-fMRI Analysis
Arterial spin labeling MR perfusion
News and Events
[2025.07] A paper titled "Decreases in hormone levels modulate neurovascular coupling but not reduced insular functional connectivity in menstrual-related migraine" has been published in Human Brain Mapping [IF: 3.3, Q1 in RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING].
The unbiased phase information derived from BOLD fMRI, as proposed in our previous study (Pain, 2024), was employed to assess the insular functional connectivity across various menstrual phases of MRM.
[2025.06] The project "Chronic Pain and Cognitive Decline: A Neuroimaging Perspective" is proudly supported by the 2025–26 Student Campus Training and Service Award Scheme of United College, CUHK. All currently enrolled UC students are welcome to contact Dr. Lou for further details.
[2024.12] A work titled "Predicting Trait Alexithymia Using Graph Neural Networks", completed by Kin Hei (a BMEG3910 student), was presented at Brain Informatics 2024, held in Bangkok.
[2024.11] A work "Analgesic Effects of High-Frequency rTMS on Pain Anticipation and Perception" has been published in Communications Biology [IF 5.2, Q1 in Biology].
[2024.06] A work titled "Ballistocardiogram artifact removal in simultaneous EEG-fMRI using deep learning", completed by FYP student Alpha, was presented at the 2024 Annual Meeting of the Organization for Human Brain Mapping in Seoul, Korea.
[2024.06] The project Understanding neuropsychiatric symptoms in Alzheimer’s disease using resting state fMRI is supported by the Student Campus Training and Service Award Scheme 2024-25 of United College, CUHK. Any currently registered undergraduate students of UC are welcome to approach Dr. Lou for more information.
[2024.01] Our work on decoding the dynamic phase synchronization of resting-state fMRI during sustained pain is online in PAIN® [IF 7.4, Q1 in Clinical Neurology / Neuroscience].
Inter-subject Phase Synchronization
Brain-to-Brain Phase Synchronization
Morphometric Similarity Network
Dynamic Functional Cnnectivity in Aging
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Network Similarity for Long-term Marriage
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