Florian Krause

This paper analyzes fMRI neurofeedback data to identify brain regions and networks involved in feedback processing and regulation recalibration during training.

This study investigates the neural correlates of dream recall frequency using multimodal neuroimaging in 258 individuals, finding associations between DRF and brain structure and function.

This study investigates the neural correlates of nightmares using fMRI data from large cohorts but fails to replicate previous findings on amygdala-prefrontal connectivity and ReHo differences.

The paper links changes in large-scale neural networks during lab stress to real-life affective reactivity.

This study compares fMRI noise correction methods using peripheral physiological signals and data-driven approaches, finding that peripheral-based methods offer more reliable noise reduction, especially in high-noise regions.

This study shows participants can learn to self-regulate stress-related brain network balance using real-time fMRI neurofeedback and transfer this skill to a stressor scenario.

This study shows that tactile feedback via medical tape reduces head motion during MRI, improving image quality, with greater reduction for subjects with more motion without feedback.