题目：Harnessing reliability for neuroscience research
Neuroscientists are amassing the large-scale datasets needed to study individual differences and identify biomarkers. However, measurement reliability within individual samples is often suboptimal, thereby requiring unnecessarily large samples. I focus my talk on reliability in neuroimaging and provide examples of how the reliability can be increased.
Xi-Nian Zuo has been awarded with the Full Research Professorship at Chinese Academy of Sciences (2010 – now). He is currently the editorial board members of NeuroImage, NeuroImage: Clinical, Network Neuroscience and Frontiers journals including Neuroscience, Neuroinformatics, Psychology and Frontiers for Young Minds. He serves OHBM as a council member and the PC chairship. Since 2017, he has been selected as one of the ESI Highly-Cited Researchers. He founded both Consortium for Reliability and Reproducibility (CoRR) and Chinese Color Nest Project (CCNP).