Research #

Stress & resilience #

In my current position in the Cognitive Affective Neuroscience lab of Erno Hermans at the Donders Institute for Brain, Cognition and Behaviour at Radboudumc, I got interested in the neuroscience of stress-related mental disorders, and especially in stress-related large-scale brain network changes. My research aims at finding innovative new ways to promote and sustain mental health by strengthening resilience to stress in real life.

Key publications:

• Krause, F., Linden, D.E.J. & Hermans, E.J. (2024). Getting stress-related disorders under control: the untapped potential of neurofeedback. Trends in Neurosciences. https://doi.org/10.1016/j.tins.2024.08.007

• Krause, F., van Leeuwen, J., Bögemann, S., Tutunji, R., Roelofs, K., van Kraaij, A., Stiphout, R. & Hermans, E. (2023, July 31). Predicting resilience from psychological and physiological daily-life measures. https://doi.org/10.31219/osf.io/f28uv

• Tutunji, R., Kogias, N., Kapteijns, B., Krentz, M., Krause, F., Vassena, E., Hermans, E.J. (2023). Detecting Prolonged Stress in Real Life Using Wearable Biosensors and Ecological Momentary Assessments: Naturalistic Experimental Study. Journal of Medical Internet Research, 25:e39995. https://doi.org/10.2196/39995

• Krause, F., Kogias, N., Krentz, M., Lührs, M., Goebel, R. & Hermans, E.J. (2021). Self-regulation of stress-related large-scale brain network balance using real-time fMRI neurofeedback. NeuroImage, 243, 118257. https://doi.org/10.1016/j.neuroimage.2021.118527

Neurofeedback & self-regulation #

When working on the European BRAINTRAIN project as a postdoctoral researcher with Rainer Goebel at Brain Innovation B.V. and Maastricht University, I started exploring how the self-regulation of brain networks by (combined) Electroencephalography (EEG) and especially real-time fMRI (rtfMRI) neurofeedback can be methodologically further advanced to be utilised as a therapeutic measure for mental disorders. My research focuses on developing innovative new paradigms and their clinical applications.

Key publications:

• Krause, F., Linden, D.E.J. & Hermans, E.J. (2024). Getting stress-related disorders under control: the untapped potential of neurofeedback. Trends in Neurosciences. https://doi.org/10.1016/j.tins.2024.08.007

• Krause, F., Kogias, N., Krentz, M., Lührs, M., Goebel, R. & Hermans, E.J. (2021). Self-regulation of stress-related large-scale brain network balance using real-time fMRI neurofeedback. NeuroImage, 243, 118257. https://doi.org/10.1016/j.neuroimage.2021.118527

• Mehler, D.M.A., Williams, A.N., Whittaker, J.R., Krause, F., Lührs, M., Kunas, S., Wise, R.G., Shetty, H.G.M., Turner, D.L. & Linden, D.E.J. (2020). Graded fMRI Neurofeedback Training of Motor Imagery in Middle Cerebral Artery Stroke Patients: A Preregistered Proof-of-Concept Study. Frontiers in Human Neuroscience, 14:226. https://doi.org/10.3389/fnhum.2020.00226

• Mehler, D., Williams, A., Krause, F., Lührs, M., Shetty, H.,Turner, D., Linden, D. & Whittaker, J. (2019). The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback. NeuroImage, 184, 36–44. https://doi.org/10.1016/j.neuroimage.2018.09.007

• Krause, F., Benjamins, C., Lührs, M., Eck, J., Noirhomme, Q., Rosenke, M., Brunheim, S., Sorger, B. & Goebel, R. (2017). Neurofeedback at display: Real-time fMRI-based self-regulation of brain activation acrosss different visual feedback presentations. Brain-Computer Interfaces, 4(1–2), 87–101. https://doi.org/10.1080/2326263X.2017.1307096

Research methods & technologies #

I use a large variety of different methodology in my work, ranging from behavioural and physiological measures, over real-life assessments with mobile devices and wearables, to advanced neuroimaging. With my research I aim to actively contribute to the constant improvement and development of state-of-the-art methods and technologies.

Key publications:

• Krause, F., & Lindemann, O. (2021, May 17). On implementing timing-accurate computer-based experiments. Retrieved from psyarxiv.com/k5vd9.

• Krause, F., Benjamins, C., Eck, J., Lührs, M., van Hoof, R. & Goebel, R. (2019). Active head motion reduction in Magnetic Resonance Imaging using tactile feedback. Human Brain Mapping, 40(14), 4026-4037. https://doi.org/10.1002/hbm.24683

• Lührs, M., Riemenschneider, B., Eck, J., Benitez, A., Poser, B.A., Heinecke, A., Krause, F., Esposito, F., Sorger, B., Hennig, J. & Goebel, R. (2019). The potential of MR-Encephalography for BCI/Neurofeedback applications with high temporal resolution. NeuroImage. https://doi.org/10.1016/j.neuroimage.2019.03.046

• Krause, F. & Lindemann, O. (2014). Expyriment: A Python library for cognitive and neuroscientific experiments. Behavior Research Methods, 46(2), 416-428. https://doi.org/10.3758/s13428-013-0390-6

Embodied & numerical cognition #

During my PhD at the Donders Institute at Radboud University, with Harold Bekkering, Ivan Toni and Oliver Lindemann, I got concerned with the question of how former sensorimotor experiences shape our cognition and how differences in these experiences can lead to individual traits in cognitive functions. My research focuses on the neurocognitive representation of numerical magnitude and the question of whether numerical concepts are "grounded" in former sensorimotor experiences with size in everyday life.

Key publications:

• Sixtus, E.*, Krause, F.*, Lindemann, O., Fischer, M. (2023). A sensorimotor perspective on numerical cognition. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2023.01.002

• Krause, F., Meyer, M., Bekkering, H., Hunnius, S. & Lindemann, O. (2019). Interaction between perceptual and motor magnitudes in early childhood. Cognitive Development, 49, 11-19. https://doi.org/10.1016/j.cogdev.2018.11.001

• Krause, F., Bekkering, H., Pratt, J. & Lindemann, O. (2017). Interaction between numbers and size during visual search. Psychological Research, 81(3), 664-677. https://doi.org/10.1007/s00426-016-0771-4

• Krause, F., Lindemann, O., Toni, I. & Bekkering, H. (2014). Different brains process numbers differently: Structural bases of individual differences in spatial and non-spatial number representations. Journal of Cognitive Neuroscience 26(4), 768-776. https://doi.org/10.1162/jocn_a_00518

• Krause, F., Bekkering, H. & Lindemann, O. (2013). A feeling for numbers: shared metric for symbolic and tactile numerosities. Frontiers in Psychology 4:7. https://doi.org/10.3389/fpsyg.2013.00007

*: Authors contributed equally