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Stress Resilience and Network-Feedback Training

Total Cost €


EC-Contrib. €






 STRESNET project word cloud

Explore the words cloud of the STRESNET project. It provides you a very rough idea of what is the project "STRESNET" about.

validate    spatiotemporal    dopaminergic    profound    versus    adaptively    biosensors    functional    causes    modeling    mobile    resilience    stressors    trigger    sensitivity    successful    noradrenergic    populations    think    balance    recovery    critical    hypothesize    fourth    raises    acute    psychiatric    cognitive    brain    alters    roles    neuromodulatory    translate    adapts    mri    etiology    dynamics    transdiagnostic    alertness    groundbreaking    disrupted    connectivity    animal    disorders    cellular    network    functions    neurofeedback    wearable    neuronal    alterations    shifts    ecologically    examine    patient    train    exposure    dynamic    framework    allocation    impairs    training    validated    life    almost    chronification    resource    potentially    relapse    cognition    hypothesis    stress    cross    shifting    repeated    neural    neurochemical    functioning    networks    reallocate    sensitive    first    cascade    leverage    predict    biomarkers    markers    threat    gap    unprecedented    yield    group    rapid   

Project "STRESNET" data sheet

The following table provides information about the project.


Organization address
postcode: 6525 EZ

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Project website
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Acute stress has a profound impact on cognitive functioning: it raises alertness for threat, yet it impairs our ability to think clearly. Repeated exposure to stressors is furthermore a critical transdiagnostic factor in etiology, relapse, and chronification in almost all psychiatric disorders. We know from animal work at the cellular level how stressors trigger a neurochemical cascade that alters properties of widespread neuronal populations. A critical gap in our knowledge, however, is how such cellular effects translate to the level of large-scale neural systems which implement higher-order cognition. Here, I propose a novel framework for understanding such alterations as shifts in network balance: I hypothesize that acute stress causes dynamic shifts in resource allocation at the level of large-scale networks. First, I will leverage recent advances in network connectivity modeling to characterize the spatiotemporal dynamics of such shifts during acute stress and recovery. Using wearable biosensors and mobile applications, I aim to identify which neural markers predict resilience to stress in real life. Second, I will cross-validate these markers in a patient group characterized by high stress sensitivity. Third, to investigate how rapid network shifts are generated, I will examine the distinct roles of noradrenergic and dopaminergic neuromodulatory systems. Fourth, I will test the hypothesis that cognitive functions supported by one network can be disrupted by shifting balance towards another. Finally, I will develop a network-based implementation of functional MRI neurofeedback to train stress-sensitive participants to adaptively reallocate neural resources during acute stress. When successful, this project will yield 1) unprecedented insight into how our brain adapts to acute stress; 2) novel ecologically validated transdiagnostic biomarkers of stress resilience versus sensitivity; and 3) a potentially groundbreaking method for training stress resilience.


year authors and title journal last update
List of publications.
2017 Benno Roozendaal, Erno J Hermans
Norepinephrine effects on the encoding and consolidation of emotional memory: improving synergy between animal and human studies
published pages: 115-122, ISSN: 2352-1546, DOI: 10.1016/j.cobeha.2017.02.001
Current Opinion in Behavioral Sciences 14 2020-02-21
2018 Maria Lojowska, Sam Ling, Karin Roelofs, Erno J. Hermans
Visuocortical changes during a freezing-like state in humans
published pages: 313-325, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.06.013
NeuroImage 179 2020-02-21
2019 Maria Lojowska, Manon Mulckhuyse, Erno J. Hermans, Karin Roelofs
Unconscious processing of coarse visual information during anticipatory threat
published pages: 50-56, ISSN: 1053-8100, DOI: 10.1016/j.concog.2019.01.018
Consciousness and Cognition 70 2020-02-21
2019 J.M.C. van Leeuwen, M. Vink, M. Joëls, R.S. Kahn, E.J. Hermans, C.H. Vinkers
Increased responses of the reward circuitry to positive task feedback following acute stress in healthy controls but not in siblings of schizophrenia patients
published pages: 547-554, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.09.051
NeuroImage 184 2020-02-21
2018 Lycia D. de Voogd, Jonathan W. Kanen, David A. Neville, Karin Roelofs, Guillén Fernández, Erno J. Hermans
Eye-Movement Intervention Enhances Extinction via Amygdala Deactivation
published pages: 8694-8706, ISSN: 0270-6474, DOI: 10.1523/jneurosci.0703-18.2018
The Journal of Neuroscience 38/40 2020-02-21
2019 Huan Wang, Robbert-Jan Verkes, Benno Roozendaal, Erno J. Hermans
Toward Understanding Developmental Disruption of Default Mode Network Connectivity Due to Early Life Stress
published pages: 5-7, ISSN: 2451-9022, DOI: 10.1016/j.bpsc.2018.11.008
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4/1 2020-02-21
2018 Lycia D de Voogd, Erno J Hermans, Elizabeth A Phelps
Regulating defensive survival circuits through cognitive demand via large-scale network reorganization
published pages: 124-129, ISSN: 2352-1546, DOI: 10.1016/j.cobeha.2018.08.009
Current Opinion in Behavioral Sciences 24 2020-02-21

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