2023-Present: Ph.D. Candidate, Chinese Institute for Brain Research, Beijing & Beijing Normal University

2020-2023: M.S., Computational Mathematics, School of Science, Xihua University

2016-2020: B.S., Mathematics and Applied Mathematics, School of Mathematical Science, Harbin Normal University

Experiences:

Jing Cong majored in mathematics both during her undergraduate and master's studies. During her master's research, she primarily focused on altered brain network's causal connectivity patterns of autism spectrum disorder based on information flow. Currently, she has joined the Cui Lab, continuing her research career. In the future, her research will primarily encompass neural modulation through electrical stimulation, network control theory models, and the exploration of structural brain networks related to executive functions.

Publications:

1.    Cong J, Zhuang W, Liu Y, Yin S, Jia H, Yi C, et al. Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis. Human Brain Mapping. 2023;44(6):2279-93.

2.    Zhang T, Cong J, Li F, Yao D, Xu P. Causal network connectivity patterns in autism spectrum disorder based on the Liang-Kleeman information flow theory. International Journal of Psychophysiology. 2021;168:S219-S20.

3.    Feng Y, Kang X, Wang H, Cong J, Zhuang W, Xue K, et al. The relationships between dynamic resting-state networks and social behavior in autism spectrum disorder revealed by fuzzy entropy–based temporal variability analysis of large-scale network. Cerebral Cortex. 2023;33(3):764-76.

4.    Zhuang W, Jia H, Liu Y, Cong J, Chen K, Yao D, et al. Identification and analysis of autism spectrum disorder via large‐scale dynamic functional network connectivity. Autism Research. 2023;16(8):1512-26.