Reconfiguration of Brain Network between Resting-state and Oddball Paradigm Fali Li1, Chanlin Yi1, Yuanyuan Liao1, Yuanling Jiang1, Yajing Si1, Limeng Song1, Tao Zhang1, Dezhong Yao1,2, Yangsong Zhang1,2, 3, Zehong Cao4 and Peng Xu1,2 1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 611731, China 2School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China 3School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, 621010, China 4Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney, NSW, Australia Corresponding author: Yangsong Zhang (
[email protected]), Peng Xu (
[email protected]). This work was supported by the National Key Research and Development Plan of China (#2017YFB1002501), the National Natural Science Foundation of China (#61522105, #61603344, #81401484, and #81330032), the Open Foundation of Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology (No. HNBBL17001), and the Longshan academic talent research supporting program of SWUST (#17LZX692). ABSTRACT The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from the resting-state conduction to oddball paradigm, but whether brain networks