Large-scale brain networks & stress

I recently got interested in the clinical benefits of self-regulating large-scale brain networks using real-time functional Magnetic Resonance Imaging (fMRI) neurofeedback. In my current position as a postdoctoral researcher in the Cognitive Affective Neuroscience lab of Erno Hermans at the Donders Institute for Brain, Cognition and Behaviour at Radboudumc, I am investigating how to capture shifts in large-scale brain network blance for developing real-time fMRI neurofeedback training interventions to increase stress resilience.

(Real-time) fMRI & neurofeedback

When working on the European BRAINTRAIN project as a postdoctoral researcher for 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.

Key publications:

  • 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.

  • 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.

  • 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.

  • 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.

Embodied cognition & 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. I address these issues by investigating human adults and children, using an integrated empirical approach which combines a variety of behavioural measures (e.g. reaction time, kinematics) as well as neuroimaging techniques (e.g. fMRI, Voxel-Based Morphometry).

Key publications:

  • 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.

  • Krause, F., Bekkering, H., Pratt, J. & Lindemann, O. (2017). Interaction between numbers and size during visual search. Psychological Research, 81(3), 664-677.

  • 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.

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