Dr. Xiaoli Guo is an Associate Professor of Biomedical Engineering at Shanghai Jiao Tong University. She received her Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University in 2008, and then worked as an Assistant Professor. Her primary research interests are in Neuroimaging and Neurorehabilitation, i.e., using neuroimaging techniques such as EEG and fMRI to study brain plasticity and rehabilitation after neural injury, such as stroke, amputation and Parkinson's Disease.

1999-2003 Bachelor - Shanghai Jiao Tong University

2003-2008 Ph.D. - Shanghai Jiao Tong University

2019.01-Present, Associate Professor, School of Biomedical Engineering, Shanghai Jiao Tong University

2015.09-2016.08, Visiting Scholar, Central Institute of Mental Health, Heidelberg University

2011.04-2018.12, Assistant Professor, School of Biomedical Engineering, Shanghai Jiao Tong University

2008.08-2011.03, Assistant Professor, Department of Biomedical Engineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University

Neuroimaging and Neurorehabilitation

Excellent Teachers Ward by Shanghai Jiao Tong University (2016)

SMC Excellent Young Scholars Ward by Shanghai Jiao Tong University (2019)

Undergraduate Courses

Algorithms and Data Structures / Data Structures

Biomedical Design I

Graduate Course

Biomedical Signal Processing

1. 1/2018 – 12/2021  National Nature Science Foundation of China (PI: Guo XL)

Mechanism of motor imagery for stroke rehabilitation using analysis of dynamic brain networks from EEG source signals, RMB 620,000 yuan

2. 5/2017 – 4/2020   Nature Science Foundation of Shanghai (PI: Guo XL)

Topological analysis of dynamic brain networks during meditation, RMB 200,000 yuan

3. 1/2011 – 12/2013  National Nature Science Foundation of China (PI: Guo XL)

Plasticity of cortical neural network following ischemic stroke and its recovery, RMB 240,000 yuan

1. Xu Wang, Hewei Wang, Xin Xiong, Changhui Sun, Bing Zhu, Yiming Xu, Mingxia Fan, Shanbao Tong, Limin Sun*, Xiaoli Guo*, Motor Imagery Training After Stroke Increases Slow-5 Oscillations and Functional Connectivity in the Ipsilesional Inferior Parietal Lobule. Neurorehabilitation and Neural Repair. 2020, 34(4): 321-332.

2. Lingxiao Yu, Xu Wang, Yuanyuan Lyu, Li Ding, Jie Jia, Shanbao Tong*, Xiaoli Guo*, Electrophysiological Evidences for the Rotational Uncertainty Effect in the Hand Mental Rotation: An ERP and ERS/ERD Study. Neuroscience. 2020, 432 (2020): 205-215. 

3. Hewei Wang, Guojun Xu, Xu Wang, Changhui Sun, Bing Zhu, Mingxia Fan, Jie Jia , Xiaoli Guo*, Limin Sun*, The Reorganization of Resting-State Brain Networks Associated With Motor Imagery Training in Chronic Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2019, 27(10): 2237-2245.

4. Li Ding(#), Xu Wang(#), Shugeng Chen, Hewei Wang, Jing Tian, Jifeng Rong, Peng Shao, Shanbao Tong, Xiaoli Guo*, Jie Jia*, Camera-Based Mirror Visual Input for Priming Promotes Motor Recovery, Daily Function, and Brain Network Segregation in Subacute Stroke Patients. Neurorehabilitation and Neural Repair. 2019, 33(4): 307-318.

5. Xiaoli Guo, Yuanyuan Lyu, Zhuo Wang, Yao Li, Jianbo Xiang, Chengjie Pan*, Herta Flor, Shanbao Tong*, Correlates of Residual Limb Pain: From Residual Limb Length and Usage to Metabolites and Activity in Secondary Somatosensory Cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2019, 27(1): 96-104.

6. Xiaoli Guo, Zixuan Lin, Yuanyuan Lyu, Robin Bekrater-Bodmann, Herta Flor, Shanbao Tong*, The effect of prosthesis use on hand mental rotation after unilateral upper-limb amputation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2017, 25(11): 2046-2053.

7. Yuanyuan Lyu, Xiaoli Guo*, Robin Bekrater-Bodmann, Herta Flor, Shanbao Tong*, An event-related potential study on the time course of mental rotation in upper-limb amputees. Clinical Neurophysiology. 2017, 128: 744-750.

8. Yuanyuan Lyu(#), Xiaoli Guo(#), Robin Bekrater-Bodmann, Herta Flor, Shanbao Tong, Phantom limb perception interferes with motor imagery after unilateral upper-limb amputation. Scientific Reports. 2016, 6: 21100.