Julian Gutzeit is a research associate in the Translational Social Neuroscience group at the Centre for Mental Health. 

From 2020 to 2025, he completed his doctorate at the University of Würzburg in the Psychological Methods, Cognition, and Applications working group (led by Prof. Dr. Lynn Huestegge). Here, he focused on the experience of action control in eye movements.

In 2023, he completed his training as a psychological psychotherapist.

In his research work within the Translational Social Neuroscience group, Julian Gutzeit uses machine learning to analyse large data sets and uncover relationships between psychological variables and post-COVID syndrome. He is also investigating how non-verbal interaction patterns, such as eye contact, affect social proximity.

Selected publications:

Weiß, M*., Gutzeit, J*., Appel, K. S., Bahmer, T., Beutel, M., Deckert, J., Fricke, J., Hanß, S., Hettich-Damm, N., Heuschmann, P. U., Horn, A., Jauch-Chara, K., Kohls, M., Krist, L., Lorenz-Depiereux, B., Otte, C., Pape, D., Reese, J.-P., Schreiber, S., … Hein, G. (2024). Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study. Journal of Affective Disorders, 352, 296–305. https://doi.org/10.1016/j.jad.2024.02.041

Gutzeit, J., Weller, L., Muth, F., Kürten, J., & Huestegge, L. (2024). Eye did this! Sense of agency in eye movements. Acta Psychologica, 243, 104121. https://doi.org/10.1016/j.actpsy.2023.104121

Gutzeit, J., Weller, L., Kürten, J., & Huestegge, L. (2023). Intentional binding: Merely a procedural confound?. Journal of Experimental Psychology: Human Perception and Performance, 49(6), 759. https://psycnet.apa.org/journals/xhp/49/6/759/

List of publications, Faculty of Psychology
 

Preprints:
Gutzeit, J., Weiß, M., Bahmer, T., Lieb, W., Schreiber, S., Vehreschild, J. J., Nürnberger, C., Pütz, S. M., Heim, E., Ruß, A.-K., Dempfle, A., Krawczak, M., Poick, S., Schäfer, A., Morbach, C., Lehman, C., Polidori, M. C., Reese, J.-P., Zoller, T., … Hein, G. (2025). Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: Machine learning results from the German National Cohort (NAKO) study.  

Gutzeit, J., Weiß, M., Kuhn, T., Klinger-König, J., Streit, F., Jockwitz, C., Brandes, B., Wright, M. N., Friedrich, C. M., Woeckel, M., Mikolajczyk, R., Keil, T., Castell, S., Betker, P., Schlett, C. L., Bärnighausen, T. W., Bamberg, F., Günther, M., Hirsch, J., … Erhardt-Lehmann, A. (2025). Long-Term Trends in Post-COVID Severity: A Machine Learn-ing Analysis from the POP/COVIDOM cohort of the German NAPKON Cohort Network. 

Further information:

ORCID: https://orcid.org/0000-0002-1434-1645

Researchgate: https://www.researchgate.net/profile/Julian-Gutzeit

Google Scholar: scholar.google.com/citations