Jana Meier, M. Sc.

Since 02/2021 employed at the Leibniz Institute for Resilience Research

Curriculum Vitae | Current Research | Publications | Posters | Awards and GrantsMethods and Workshops | Teaching

Curriculum Vitae

Since 10/2020 PhD student in the Departement of Clinical Psychology and Neuropsychology, Psychological Institute, Johannes Gutenberg-University Mainz
2016-2020 M.Sc. Psychology Cognitive-Affective Neuroscience, University of Technology Dresden
Master Thesis (at JGU Mainz): Differential Neural Processing Related to Stressor Controllability and Links to Individual Differences in Locus of Control
2012-2016 B.Sc. Psychology, Johannes Gutenberg-University Mainz
Bachelor Thesis: The effect of corners on the perception of curved contours

Current Research

    • Neural mechanisms underlying resilience against stress related disorders
    • Effects of instrumental control over stressors
    • Stressinoculation
    • Perceived control as a resilience mechanism


Meine, L. E., Meier, J., Meyer, B., & Wessa, M. (2021). Don't stress, it's under control: Neural correlates of stressor controllability in humans. NeuroImage, 245, 118701. https://doi.org/10.1016/j.neuroimage.2021.118701


Meier, J., Höhn, K., Wessa, M. (2021, September). Control = Ego Boost? - The Impact of Stressor Controllability on Subsequent Escape Behavior and Self-Esteem. Poster at the 7.th International Symposium on Resilience Research, Mainz, Germany.

Meine, L. E., Meier, J., Schueler, K., Wessa, M. (2019, September). Why trust is fine but control is better – neural correlates of stressor controllability in humans. Poster at the 5th International Symposium on Resilience Research, Mainz, Germany.

Awards and Grants

06/2021 SciComm Ambassador Award by the DGPA and the DGPs section Biopsychology for the science communication blog https://psychosteps.uni-mainz.de/
since 02/2021 Member of the Goethe Research Academy for Early Career Researchers (GRADE), Frankfurt am Main, Germany.

Methods and Workshops

      • Behavioral, questionnaire and trait data acquisition
      • Psychophysiological measures
      • Functional magnetic resonance imaging (fMRI)
12/2021 Scikit-Learn: Using Machine Learning in Python, Initiative for Systems Analysis in Neuroscience (ISyN), Mainz
05/2020 Introduction to Data Science with R and the Tidyverse, GRADE Brain workshop, Goethe University, Frankfurt am Main
04/2019 Introductory course on methods for designing and analyzing human MRI studies, Neuroimaging Center, JGU Mainz


WiSe 2020/21 M.Sc. Course Dysfunktional neuro-cognitive processes
WiSe 2020/21 M.Sc. Course Neuroscience methods