Jinhui Wang, Ph.D.
Principal Investigator
Laboratory of Neurocomputing for Human Brain Networks
Institute of Brain Research and Rehabilitation
South China Normal University
55 Zhongshan Avenue West, Tianhe District, Guangzhou
Guangdong Province, China, 510631
E-mail: jinhui.wang.1982@m.scnu.edu.cn
Dr. Wang received his Ph.D. from State Key laboratory of Cognitive Neuroscience and Learning, Beijing Normal University in 2012. He then joined the faculty as a research fellow at the Center for Cognition and Brain Disorders in Hangzhou Normal University from 2013 to 2018. Since June 2018, he has been a Principal Investigator at the Institute of Brain Research and Rehabilitation in South China Normal University. He has published more than 50 SCI papers with an h-index of 32, and won the Ziskind-Somerfeld Research Award from the Society of Biological Psychiatry in 2014. Dr. Wang’s research is mainly focused on the development of new multimodal MRI-based brain network methods and application of the methods to reveal abnormalities in brain diseases.
Education
Ph.D., in Cognitive Neuroscience Sep. 2009 - Jul. 2012
State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University
M.S., in Computer Application Technology Sep. 2006 - Jul. 2009
State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University
B.S., in Electronic Information Engineering Sep. 2002 - Jul. 2006
School of Electronic Information Engineering, Xidian University
Work Experience
Research Fellow, in Computational Neuroscience Jul. 2012 - May. 2018
Center for Cognition and Brain Disorders, Hangzhou Normal University
Professor, in Computational Neuroscience Jun. 2018 - Present
Institute for Brain Research and Rehabilitation, South China Normal University
Research Interests
1. Develop and evaluate multimodal MRI-based brain network methods
2. Explore neurobiological basis underlying interindividual differences in human brain networks
3. Parse Brain Network Abnormalities in neuropsychiatric disorders (depression, insomnia disorder and multiple sclerosis)
Research Funding
1. Excellent Young Scientist by National Natural Science Foundation of China (81922036): Multi-modal MRI-based human brain connectome: methodology and clinical application, 1,300,000 RMB, 2020/01-2022/12
2. National Natural Science Foundation of China (81671764): Single-subject morphological brain networks: methodological establishment and evaluation as well as exploration of its biological meaning and clinical value, 580,000 RMB, 2017/01-2020/12
3. National Natural Science Foundation of China (81301284): Multimodal Neuroimaging-based Structural and Functional Brain Networks in Patients with Major Depressive Disorder, 240,000 RMB, 2014/01-2016/12
4. Zhejiang Provincial Natural Science Foundation of China (Key Project, LZ13C090001): Frequency, null model, reproducibility and test-retest reliability of intrinsic functional brain connectome, 300,000 RMB, 2013.01-2016.12
Selected Publications (#, co-first author; *, corresponding author)
1. Sheng J, Shen Y, Qin Y, Zhang L, Jiang B, Li Y, Xu L, Chen W and Wang J* (2018) Spatiotemporal, metabolic, and therapeutic characterization of altered functional connectivity in major depressive disorder. Hum Brain Mapp, 39:1957-1971
2. Liu Y, Wang H, Duan Y, Huang J, Ren Z, Ye J, Dong H, Shi F, Li K and Wang J* (2017) Functional Brain Network Alterations in Clinically Isolated Syndrome and Multiple Sclerosis: A Graph-based Connectome Study. Radiology, 282:534-541
3. Liu Y, Jiang X, Butzkueven H, Duan Y, Huang J, Ren Z, Dong H, Shi F, Barkhof F, Li K* and Wang J* (2017) Multimodal characterization of gray matter alterations in neuromyelitis optica. Mult Scler, 24:1308-1316
4. Wang H, Jin X, Zhang Y and Wang J* (2016) Single-subject morphological brain networks: connectivity mapping, topological characterization and test-retest reliability. Brain and Behavior, 6:e00448
5. Liu Y, Duan Y, Huang J, Ren Z, Ye J, Dong H, Shi FD, Barkhof F, Vrenken H, Wattjes MP, Wang J* and Li K (2015) Multimodal Quantitative MR Imaging of the Thalamus in Multiple Sclerosis and Neuromyelitis Optica. Radiology, 277:784-792
6. Wang J, Wang X, He Y, Yu X, Wang H and He Y (2015) Apolipoprotein E epsilon4 modulates functional brain connectome in Alzheimer's disease. Hum Brain Mapp, 36:1828-46 (cover paper)
7. Shen Y, Yao J, Jiang X, Zhang L, Xu L, Feng R, Cai L, Liu J, Wang J* and Chen W* (2015) Sub-hubs of Baseline Functional Brain Networks Are Related to Early Improvement Following Two-week Pharmacological Therapy for Major Depressive Disorder. Hum Brain Mapp, 36:2915-2927
8. Wang J, Zuo X, Dai Z, Xia M, Zhao Z, Zhao X, Jia J, Han Y and He Y (2013) Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol Psychiatry, 73:472-481 (cover paper)
9.Zhang J#, Wang J#, Wu Q, Kuang W, Huang X, He Y and Gong Q (2011) Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biol Psychiatry 70:334-42 (cover paper)
10. Wang J, Wang L, Zang Y, Yang H, Tang H, Gong Q, Chen Z, Zhu C and He Y (2009) Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Human brain mapping, 30:1511-1523