Recently, Professor Chao-Gan YAN from the Institute of Psychology, Chinese Academy of Sciences was awarded the 2021 Early Career Investigator Award by The Organization for Human Brain Mapping (OHBM).
OHBM Early Career Investigator Award Plaque. (Image by Chao-gan YAN)
The Organization for Human Brain Mapping (OHBM) was established in 1995. It is an international society in the field of human brain mapping and is committed to promoting the use of imaging methods to explore the research of the human brain. The OHBM Early Career Investigator (previously called the Young Investigator Award) has been established since 1996. It is awarded to only one scholar in the world each year to recognize outstanding contributions in the field of neuroimaging and human brain mapping (The Organization for Human Brain Mapping has established an award recognizing an Early Career Investigator who has made significant contributions to the field of human brain mapping). Previous winners include Professor Karl Friston from University College London, Professor Randy Buckner from Harvard University, Professor Russell Poldrack from Stanford University and Professor Stephen Smith from Oxford University.
Biography
Chao-Gan YAN, Ph.D. (Image by Chao-gan YAN)
Dr. Chao-Gan Yan is a professor at the Institute of Psychology, Chinese Academy of Sciences (IPCAS). He is the Director of the Magnetic Resonance Imaging Research Center, the Director of International Big-Data Center for Depression Research, and the Principal Investigator of The R-fMRI Lab located at IPCAS. Before he joined the IPCAS in 2015, he worked as a Research Scientist at the Nathan Kline Institute for Psychiatric Research and a Research Assistant Professor at the Department of Child and Adolescent Psychiatry, New York University School of Medicine. Dr. Yan received his Ph.D. degree in Cognitive Neuroscience from State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University in 2011. His research mainly focuses on the resting-state fMRI (R-fMRI) computational methodology, mechanisms of spontaneous brain activity, and their applications in depression. He has addressed fundamental methodological issues (e.g., impact of head motion (ESI Top 1‰ of highly cited papers), standardization (ESI Top 1% of highly cited papers) and multiple comparison correction (ESI Top 1% of highly cited papers)) on the study of resting-state functional connectomics. He has also developed data processing and analysis toolbox for R-fMRI, DPABI (ESI Top 1‰ of highly cited papers) and DPARSF, with the latter has been cited over 2000 times. He initiated a Chinese consortium for big data of brain imaging of depression (REST-meta-MDD), performed big data study of depression neuroimaging (PNAS 2019, ESI Top 1% of highly cited papers), and studied the brain mechanisms of depression through a longitudinal study of animal model. He has published 60+ peer-reviewed articles (30+ as first or corresponding author) in prestigious journals including PNAS, Molecular Psychiatry, NeuroImage, Human Brain Mapping. His work has been widely cited in the scientific community (total citations > 13000, Google Scholar), achieving an h-index of 37. Six of his first-author/corresponding author papers ranked as ESI Top 1% Highly Cited Papers, 2 of which were ESI Top 1‰. He has been ranked as 2019 and 2020 most cited Chinese Researchers by Elsevier. He was awarded the 2021 Early Career Investigator Award by The Organization for Human Brain Mapping (OHBM). Additionally, he currently serves as associate editor for Neuroimage: Reports and servers in the editorial boards of NeuroImage and Journal of Neuroscience Methods.
