Yirong Xiong

credit: Lunevani and my dear Kalle

I just graduated from the University of Tübingen with a MSc degree. I majored in Neural Information Processing at Graduate Training Center of Neuroscience. I’m looking for a phD position.

I’m currently doing an intership at Prof. Gilles Laurent’s lab in Frankfurt. Meanwhile I also have a cognitive science project at Human and Machine Cognition Lab in Tübingen and a computational modeling project with Dr. Vivek Sridhar in Konstanz. I did my my master’s thesis at Burgalossi lab, and my lab rotation at Dr. Anna Levina’s lab. Before coming to Tübingen, I worked on diffusion MRI and received a master’s degree in psychology from Beijing Normal University.

I am interested in learning and memory, from a perspective of computational cognitive neuroscience. Besides, I like writing popular science blogs, have written some articles in chinese journal. I am the creator and core developer of open-source visualization project CCmapping, which provides a populational-based online interactive atlas of human brain callosal connectivity.

I enjoy running, reading, cooking, and playing puzzles in my free time (if there is such a thing). Fun fact about me: I found the left side of my cerebellum is almost missing during the pilot scan of my first experiment. Ever since that, this has been the best excuse of my poor dancing skill. I’ve made a Valentine’s day poster of my brain scan.

selected publications

HBM
Cortical mapping of callosal connections in healthy young adults

Yirong Xiong, Liyuan Yang, Changtong Wang, Chenxi Zhao, Junhao Luo, Di Wu, Yiping Ouyang, Michel Thiebaut Schotten, and Gaolang Gong

Human Brain Mapping, 2024

Publisher: Wiley

Abs Bib PDF

The corpus callosum (CC) is the principal white matter (WM) bundle supporting communication between the two brain hemispheres. Despite its importance, a comprehensive mapping of callosal connections is still lacking. Here, we constructed the first bidirectional population-based callosal connectional atlas between the midsagittal section of the CC and the cerebral cortex of the human brain by means of diffusion-weighted imaging tractography. The estimated connectional topographic maps within this atlas have the most fine-grained spatial resolution, demonstrate histological validity, and were reproducible in two independent samples. This new resource will revolutionize the investigation of interhemispheric communication and come with a user-friendly companion online tool (CCmapping) for easy access and visualization of the atlas.
@article{xiongPopulationbasedCorticalMapping2024, journal = {Human Brain Mapping}, title = {Cortical mapping of callosal connections in healthy young adults}, author = {Xiong, Yirong and Yang, Liyuan and Wang, Changtong and Zhao, Chenxi and Luo, Junhao and Wu, Di and Ouyang, Yiping and de Schotten, Michel Thiebaut and Gong, Gaolang}, year = {2024}, note = {Publisher: Wiley}, }

JNeuroscience

Callosal fiber length scales with brain size according to functional lateralization, evolution, and development

Liyuan Yang, Chenxi Zhao, Yirong Xiong, Suyu Zhong, Di Wu, Shaoling Peng, Michel Thiebaut Schotten, and Gaolang Gong

Journal of Neuroscience, 2022

Publisher: Soc Neuroscience

Bib

@article{yangCallosalFiberLength2022a,
  title = {Callosal fiber length scales with brain size according to functional lateralization, evolution, and development},
  volume = {42},
  number = {17},
  journal = {Journal of Neuroscience},
  author = {Yang, Liyuan and Zhao, Chenxi and Xiong, Yirong and Zhong, Suyu and Wu, Di and Peng, Shaoling and de Schotten, Michel Thiebaut and Gong, Gaolang},
  year = {2022},
  note = {Publisher: Soc Neuroscience},
  pages = {3599--3610},
}

CCN2023

Selective Memory for Reward-Relevant Features Is Modulated by Expertise during Reward Learning

Yirong Xiong, Nir Moneta, Mihaly Banyai, and Charley Wu

2023

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