PI

Erno Hermans entered the field of cognitive and affective neuroscience during a traineeship at Karolinska Institute in Stockholm (Sweden). Here, he worked on fear conditioning and psychophysiology in Arne Ohman’s lab. He obtained a MSc degree in experimental psychology from Utrecht University (the Netherlands) in 2001.

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The following year, he started a PhD project with Jack van Honk at Utrecht University and Nick Ramsey at University Medical Center Utrecht. This project concerned neuroendocrine regulation of socio-emotional behavior. During this time he developed a strong interest for functional neuroimaging and its applications in cognitive and affective neuroscience.

After receiving his PhD in 2006, he started a postdoctoral fellowship with Guillén Fernández at the Donders Centre for Cognitive Neuroimaging in Nijmegen (the Netherlands). There, he studied effects of stress-sensitive neuromodulators on cognitive functions, in particular memory formation and consolidation. In 2007, he received a personal (NWO-VENI) grant for a project entitled “In a fit of fear: novel strategies for functional decomposition of the neural circuits of fear and anxiety in humans.” This project focuses on system-scale reconfiguration of network connectivity in affective states and high resolution neuroimaging of subcortical structures. As part of this project, he joined Elizabeth Phelps’ lab at New York University (USA) in 2010 as a visiting research fellow, after which he returned to Nijmegen.

He currently holds a position as Associate Professor at the Donders Institute for Brain, Cognition and Behaviour and Radboud university medical center. He was awarded an ERC Consolidator grant for a project entitled STRESNET: Stress resilience and network feedback training. This project aims to develop new strategies to prevent negative consequences of stress exposure. He is also a collaborator and work package leader on a European Horizon 2020 consortium project named DynaMORE: Dynamic Modeling of Resilience, which aims to develop computer models to predict and promote mental well-being.

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