Erno J. Hermans

This study evaluates stress detection using wearable sensors, finding that within-individual models perform better than between-individual models, suggesting stress detection is personalized.

This study uses fMRI to compare counterconditioning and regular extinction in humans, finding distinct neural patterns and more persistent threat memory extinction with counterconditioning.

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

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 that a working memory task downregulates the amygdala similarly to a cognitive reappraisal task, suggesting task demand, not reappraisal itself, drives amygdala deactivation.

This study examines how postnatal stress affects structural brain development in preterm infants and identifies resilient brain characteristics that predict future behavioral outcomes.

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 investigates how hippocampal spatial representations influence fear generalization and contextualization in humans using fMRI and virtual reality.

This study shows that eye-movement interventions reduce fear recovery by temporarily deactivating the amygdala during extinction learning, similar to working memory tasks.