Yao Li
yaoli@sjtu.edu.cn
English, Chinese
Shanghai
Shanghai Jiao Tong University
Biomedical Engineering
  • 2002 - BEng in Electronic and Information Engineering from Shanghai Jiao Tong University
  • 2008 - PhD in Electrical and Computer Engineering from Stony Brook University, USA
  • Multiple grants from NSFC, Ministry of Science and Technology, Ministry of Education, Shanghai Science and Technology Committee, and Shanghai Jiao Tong University
  • Authorized multiple invention patents
  • 2008-2010 - Senior Researcher at Stony Brook Medical Research Center, USA
  • Since 2010 - Shanghai Jiao Tong University, School of Biomedical Engineering
  • 2021: Best Paper Award, First place at EMBC
  • 2019-2021: 13 Outstanding Paper Awards at ISMRM
  • 2018: First Prize for Excellent Paper at Shanghai Medical Association Psychiatry Annual Meeting
  • 2019, 2020: Excellent Paper Awards at the 17th and 18th National Psychiatry Conferences of the Chinese Medical Association
High-resolution magnetic resonance spectroscopic imaging
Deep learning and multimodal magnetic resonance brain imaging
Novel brain imaging techniques in neuro/psychiatric disorders
  • Disrupted coupling between salience network segregation and glucose metabolism is associated with cognitive decline in Alzheimer's disease - A simultaneous resting-state FDG-PET/fMRI study, Zhang M, Guan Z, Zhang Y, Sun W, Li W, Hu J, Li B, Ye G, Meng H, Huang X, Lin X, Wang J, Liu J, Li B, Li Y*, 2022
  • Neurometabolic and functional changes of default-mode network relate to clinical recovery in first-episode psychosis patients: A longitudinal 1H-MRS and fMRI study, Li W, Xu J, Xiang Q, Zhuo K, Zhang Y, Liu D, Li Y*, 2022
  • Arcuate fasciculus subsegment impairments distinctly associated with memory and language deficits in acute mild traumatic brain injury patients, Wang T, Hu Y, Wang D, Liu J, Sun J, Wei C, Dai H, Li Y*, 2021
  • Imaging acute stroke: from one size fits all to biomarkers, Lu J, Mei Q, Hou X, Manaenko A, Zhou L, Liebeskind D, Zhang J, Li Y*, Hu Q, 2021
  • Disrupted functional connectivity of precuneus subregions in obsessive-compulsive disorder, Ye Q, Zhang Z, Sun W, Fan Q, Li Y*, 2021
  • Improved estimation of myelin water fractions with learned parameter distributions, Li Y, Xiong J, Guo R, Zhao Y, Li Y, Liang Z, 2021
  • Middle temporal corpus callosum impairment as a predictor of eight-week treatment outcome of drug-naïve first-episode psychosis patients: A pilot longitudinal study, Wang D, Zhuo K, Sun Y, Xiang Q, Guo X, Wang J, Xu Y, Liu D*, Li Y*, 2021
  • Diffusion property and functional connectivity of superior longitudinal fasciculus underpin human metacognition, Zheng Y, Wang D, Ye Q, Zou F, Li Y*, Kwok S, 2021
  • Accelerating T2 mapping of the brain by integrating deep learning priors with low‐rank and sparse modeling, Meng Z, Guo R, Li Y, Guan Y, Wang T, Zhao Y, Sutton B, Li Y and Liang Z-P, 2021
  • Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing, Guo R, Zhao Y, Li Y, Wang T, Li Y, Brad S, and Liang ZP, 2021
  • Fast high-resolution metabolic imaging of acute stroke with 3D magnetic resonance spectroscopy, Li Y*, Wang T, Zhang T, Lin Z, Li Y, Guo R, Zhao Y, Meng Z, Liu J, Yu X, Liang Z-P and Nachev P, 2020
  • Optogenetic translocation of protons out of penumbral neurons is protective in a rodent model of focal cerebral ischemia, Bo B, Li Y*, Li W, Wang Y, and Tong S, 2020
  • Neurochemical and brain functional changes in the ventromedial prefrontal cortex of first-episode psychosis patients: A combined functional magnetic resonance imaging - proton magnetic resonance spectroscopy study, Cen H, Xu J Xu, Yang Z, Mei L, Chen T, Zhuo K, Xiang Q, Song Z, Wang Y, Guo X, Wang J, Jiang K, Xu Y, Li Y*, and Liu D, 2020
  • Simultaneous metabolic and functional imaging of the brain using SPICE, Guo R, Zhao Y, Li Y, Li Y, and Liang ZP, 2019
  • Multimodal classification of drug-naïve first-episode schizophrenia combining anatomical, diffusion and resting state functional resonance imaging, Zhuang H, Liu R, Wu C, Meng Z, Wang D, Liu D, Liu M, and Li Y*, 2019
  • Modular functional-metabolic coupling alterations of frontoparietal network in schizophrenia patients, Xiang Q, Xu J, Wang Y, Chen T, Wang J, Zhuo K, Guo X, Zeljic K, Li W, Sun Y, Wang Z, Li Y*, and Liu D, 2019
  • Optogenetic excitation of ipsilesional sensorimotor neurons is protective in acute ischemic stroke: a laser speckle imaging study, Bo B, Li Y*, Li W, Wang Y, and Tong S, 2019
  • The thalamic glutamate level correlates with functional connectivity with dorsal anterior cingulate cortex/middle occipital gyrus in obsessive-compulsive disorder: a combined fMRI and 1H-MRS study, Chen Y, Meng Z, Zhang Z, Zhu Y, Gao R, Cao X, Tan L, Wang Z, Zhang H, Li Y*, Fan Q, and Xiao Z, 2019
  • Elevated hippocampal choline level is associated with altered functional connectivity in females with major depressive disorder: A pilot study, Tang Y, Zhang X, Sheng J, Zhang J, Zhu Y, Wang J, Zhang T, Zhuo K, Zhang X, Tong S, Li Y*, and Wang J, 2018
  • Anterior thalamic radiation structural and metabolic changes in obsessive-compulsive disorder: a combined DTI-MRS study, Wang R, Fan Q, Zhang Z, Chen Y, Zhu Y and Li Y*, 2018
  • Functional lateralization in cingulate cortex predicts motor recovery after basal ganglia stroke, Li Y, Chen Z, Su X, Zhang X, Wang P, Zhu Y, Xu Q, Xu J and Tong S, 2016
  • Altered neuronal spontaneous activity correlates with glutamate concentration in medial prefrontal cortex of major depressed females: an fMRI-MRS study, Zhang X, Tang Y, Maletic-Savatice M, Sheng J, Zhang X, Zhu Y, Zhang T, Tong S, Wang J and Li Y*, 2016
  • Decreased thalamic glutamate level in unmedicated adult obsessive compulsive disorder patients detected by proton magnetic resonance spectroscopy, Zhu Y, Fan Q, Han X, Zhang H, Chen J, Wang Z, Zhang Z, Tan L, Xiao Z, Tong S, Maletic-Savatic M and Li Y*, 2015
  • Predicting the ischemic infarct volume at the first minute after occlusion in rodent stroke model by laser speckle imaging of cerebral blood flow, Li Y, Zhu S, Yuan L, Lu H, Li H and Tong S, 2013
Magnetic Resonance Spectroscopy High-Resolution Deep Learning Multimodal Brain Imaging Neurological Disorders Psychiatric Disorders Novel Techniques Translational Research

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