Xinyang Liu

09/2012 – 07/2017

Doctor of engineering at Institute of Electronics, Chinese Academy of  Sciences, Beijing, China.

09/2008 – 06/2012 

Bachelor of engineering at Department of Electronics and Information  Technology, Beijing Institute of Technology, Beijing, China

08/2019 – 02/2022 

Postdoctoral research fellow, Department of Psychology, Division of  Psychological Methods and Statistics, Carl von Ossietzky University Oldenburg

07/2017 – 07/2019

Postdoctoral research fellow, Department of Physics, Centre for  Nonlinear Studies, Hong Kong Baptist University

04/2016 – 09/2016 

Visiting scientist, Department of Psychology, Humboldt-Universität zu Berlin, Germany (CAS-DAAD scholarship)

10/2015 – 03/2016 

Visiting scientist, Department of Psychology, University of Greifswald, Germany (CAS-DAAD scholarship)

  Xinyang Liu works in the area of cognitive neuroscience. Her research domains include face processing, written language perception, brain and cognitive development. Techniques and methodologies involve multimodal MRI, EEG/ERP, advanced statistical modeling and machine learning.

Cognitive Neuroscience

1) Face processing (individual differences, development, and neural underpinnings)

2) Language processing (reading, lateralization, and neural competition/cooperation)

3) Structure-function relationship of brain networks and its support to cognitive abilities

2021-2022 General Psychology

2021-2022 Statistical analysis using R

2021-2022 Statistical analysis using R

2023-2024 Experimental Psychology

2023-2024 Psychological research and practice

Journal publications（*Corresponding author）

Liu, X.*, Geiger, M., Zhou, C., & Hildebrandt, A.*(2022). Individual differences in white matter microstructure of the face processing brain network are more differentiated from global fibers with increasing ability. Scientific reports, 12(1), 1-15.

Kristanto, D., Liu, X., Sommer, W., Hildebrandt, A., & Zhou, C. (2022). What do neuroanatomical networks reveal about the ontology of human cognitive abilities?. iScience.  25(8), 104706.

Zhou, N.*, Sun, Y., She, Z., Xu, X., Peng, Y., Liu, X.*, & Xi, J. (2022). Grief and growth among Chinese parents who lost their only child: the role of positive and negative experiences of social support from different sources. European Journal of Psychotraumatology, 13(1), 2079874. 

Sanchez, J., Pavan, T., Liu, X., Thiel, C. M., Heep, A., & Hildebrandt, A. (2022). Fiber tracing and microstructural characterization among audiovisual integration brain regions in neonates compared with young adults. NeuroImage, 119141.

Sanchez, J., Liu, X., Zhou, C., & Hildebrandt, A. (2021). Nature and Nurture Shape Structural Connectivity in the Face Processing Brain Network. NeuroImage. 229, 117736.

Liu, M., Liu, X., Hildebrandt, A., & Zhou, C. (2020). Individual cortical entropy profile: Test–retest reliability, predictive power for cognitive ability, and neuroanatomical foundation. Cerebral Cortex Communications. 2020, 1, 1-17

Kristanto, D., Liu, M., Liu, X., Sommer, W., & Zhou, C. (2020). Predicting reading ability from brain anatomy and function: from areas to connections. NeuroImage, 218, 116966.

Liu, X., Hildebrandt, A., Meyer, K., Sommer, W., & Zhou, C. (2020). Patterns of individual differences in fiber tract integrity of the face processing brain network support neurofunctional models. NeuroImage, 204, 116229.

Liu, J., Liu, X., He, E., Gao, F., Li, Z., Xiao, G., & Cai, X. (2019). A novel dry-contact electrode for measuring electroencephalography signals. Sensors and Actuators A: Physical, 294, 73-80.

Liu, X., Hildebrandt, A., Recio, G., Sommer, W., Cai, X., & Wilhelm, O. (2017). Individual differences in the speed of facial emotion recognition show little specificity but are strongly related with general mental speed: Psychometric, neural and genetic evidence. Frontiers in behavioral neuroscience, 11, 149.

Liu, X., Liu, J., Duan, F., Liu, R., Gai, S., Xu, S., Sun J. & Cai, X. (2017). Inter-hemispheric frontal alpha synchronization of event-related potentials reflects memory-induced mental fatigue. Neuroscience letters, 653, 326-331.

Liu, X., Liu, J., Gai, S., Meyer, K., Xu, S., & Cai, X. (2016). Time–frequency distribution properties of event-related potentials in mental fatigue induced by visual memory tasks. NeuroReport, 27, 1031-1036.

International conferences

Liu, X., Geiger, M., Zhou, C., Hildebrandt, A. (2020). Face processing ability dependent differentiation of the face processing brain network – Evidence from structural connectivity. 12th FENS conference of Neuroscience. Poster Presentation. Glasgow, UK.

Liu, X., Sommer, W., Hildebrandt, A., Meyer, K. & Zhou, C. (2019). Individual Differences in the White Matter Integrity of the Face-Processing Brain Network Support Neurofunctional Models. Brain and Mind: Promoting Individual and Community well-being. The Second International Scientific Conference, Oral Presentation, Zagreb, Croatia.

Liu, X., Hildebrandt, A., Recio, G., Sommer, W., Cai, X. & Wilhelm, O. (2016). Face Cognition: Domain invariance of speed abilities and their neural and genetic underpinnings. Congress of the DGPs 2016, Oral Presentation, Leipzig, Germany.

Liu, X., Hildebrandt, A., Recio, G., Sommer, W., Cai, X. & Wilhelm, O. (2016). Neural and genetic underpinnings of domain variant and invariant performance speed related abilities. European Conference on Personality (18th ECP), Oral Presentation, 2016, Timisoara, Romania.