Manuela Götz, Study psychologist
Dr Benjamin Meyer, Postdoc
Papoula Petri-Romao, PhD student
Dr Lara Puhlmann, PhD student
Mona Ülker, Study assistant
Dr Kenneth S.L. Yuen, Postdoc
We explore basic mechanisms of resilience in humans at the cognitive and neurofunctional levels and aim to formulate a comprehensive and unifying theory of resilience. We base this on a dynamic concept of resilience, which sees resilience as the result of an adaptation process to stressors. Thus, important tools are prospective longitudinal studies (MARP, LORA, DynaM-OBS, DynaCORE-L) a nd interventional (DynaM-INT , RESPOND ) prospective longitudinal studies in which changes in biological and psychological functions are considered over time and as a function of stressor exposure and in their importance for the maintenance of mental health. Another important tool is computational analysis and modeling of these data sets. In addition, using methods from experimental psychology, brain imaging (MRI), brain stimulation (TMS, TUS), pharmacology, and psychophysiology, we are conducting laboratory studies on the cognitive and neural bases of identified resilience mechanisms such as extinction and cognitive emotion regulation.
- Longitudinal study "Longitudinal Resilience Assessment" (LORA)
- Longitudinal study "Mainz Resilience Project" (MARP)
- Consortium project "Dynamic Modelling of Resilience" (DynaMORE)
- Consortium project "Improving the Preparedness of Health Systems to Reduce Mental Health and Psychosocial Concerns resulting from the COVID-19 Pandemic" (RESPOND)
- EU consortial Project "Running in the Family" - understanding and predicting the intergenerational transmission of mental illness" (FAMILY)
- DEPARTMENTS OF DEFENCE AND VETERANS' AFFAIRS consortium project, Australia "A multi-system approach to needs and resilience resource profiling in the context of maritime operations"
- Establishment of an ecologically valid trauma model for resilience research
- Josep Maria Haro Abad, Psychiatry at University of Barcelona, Spanien
- Jose Luis Ayuso, Department of Psychiatry of Autonomous University of Madrid and La Princesa Teaching Hospital Madrid, Spanien
- Christian Beckmann, Radboud University Medical Centre (Radboudumc) · Department of Cognitive Neuroscience, Nijmegen, Niederlande
- Harald Binder, Institute for Medical Biometry and Informatics, University of Freiburg, Germany
- Richard Bryant, School of Psychology, University of New South Wales, Sydney, Australia
- Talma Hendler, Functional Brain Center, Tel Aviv University, Israel
- Erno Hermans, Donders Institute, Radboud University Nijmegen, Netherlands
- Erno Hermans, Donders Institute, Radboud University Nijmegen, Netherlands
- Birgit Kleim, Department of Psychiatry, University of Zurich, Switzerland
- Dorota Kobylinska, Faculty of Psychology, University of Warsaw, Polen
- Signe Mezinska, Faculty of Medicine, University of Latvia, Lettland
- Inez Myin-Germeys, Contextual Psychiatry, Catholic University Leuven, Belgium
- Andreas Reif, Department of Psychiatry and Psychotherapy, University Hospital, Goethe University Frankfurt a.M., Germany
- Karin Roelofs, Donders Institute, Radboud University Nijmegen, Netherlands
- Katharina Schultebraucks, Data Science Institute at Columbia University, New York, USA
- Marit Sijbrandij, Faculty of Behavioural and Movement Sciences, Clinical Psychology, Free University of Amsterdam, Netherlands
- Jens Timmer, Institute for Physics, University of Freiburg, Germany
- Neeltje van Haren, department of Child psychiatry at Erasmus MC Sophia Children’s Hospital Rotterdam, Niederlande
- Anne-Laura van Harmelen, Department of Psychiatry, University of Cambridge, UK
- Henrik Walter, Department of Psychiatry, Charité Berlin, Germany
- EU (Horizon 2020)
- EU Horizon Europe
Chmitorz A, Kurth K, Mey LK, Wenzel M, Lieb K, Tüscher O, Kubiak T, Kalisch R (2020). Assessment of microstressors in adults: Questionnaire development and ecological validation of the Mainz Inventory of Microstressors. JMIR Ment Health 7(2):e14566. doi: 10.2196/14566.
>> Link to PubmedEtkin A, Egner T, Kalisch R (2011) Emotional processing in anterior cingulate and medial prefrontal cortex. Trends Cogn Sci 15:85-93.
>> Link to PubmedGerlicher AMV, Tüscher O, Kalisch R (2018). Dopamine-dependent prefrontal reactivations explain long-term benefit of fear extinction. Nat Commun 9(1):4294. doi: 10.1038/s41467-018-06785-y. Erratum in: Nat Commun. 2019 Jan 23;10(1):471.
>> Link to PubmedHaaker J, Gaburro S, Sah A, Gartmann N, Lonsdorf TB, Meier K, Singewald N, Pape HC, Morellini F*, Kalisch R* (2013) Single dose of L-dopa makes extinction memories context-independent and prevents the return of fear. PNAS 110:E2428-36
>> Link to PubmedKalisch R, Baker DG, Basten U, Boks MP, Bonanno GA, Brummelman E, Chmitorz A, Fernàndez G, Fiebach CJ, Galatzer-Levy I, Geuze E, Groppa S, Helmreich I, Hendler T, Hermans EJ, Jovanovic T, Kubiak T, Lieb K, Lutz B, Müller MB, Murray RJ, Nievergelt CM, Reif A, Roelofs K, Rutten BPF, Sander D, Schick A, Tüscher O, Diest IV, Harmelen AV, Veer IM, Vermetten E, Vinkers CH, Wager TD, Walter H, Wessa M, Wibral M, Kleim B (2017). The resilience framework as a strategy to combat stress-related disorders. Nat Hum Behav 1(11):784-790. doi: 10.1038/s41562-017-0200-8
>> Link to PubmedKalisch R*, Cramer AOJ*, Binder H, Fritz J, Leertouwer IJ, Lunansky G, Meyer B, Timmer J, Veer IM, van Harmelen A-L (2019) Deconstructing and reconstructing resilience: a dynamic network Approach. Persp Psych Sci, 14:765-7.
>> Link to PubmedKalisch R, Gerlicher AMV, Duvarci S (2019). A Dopaminergic Basis for Fear Extinction. Trends Cogn Sci 23(4):274-277. doi: 10.1016/j.tics.2019.01.013.
>> Link to PubmedKalisch R, Müller MB, Tüscher O (2015). A conceptual framework for the neurobiological study of resilience. Behav Brain Sci ;38:e92. doi: 10.1017/S0140525X1400082X
>> Link to PubmedKampa M, Schick A, Sebastian A, Wessa M, Tüscher O, Kalisch R, Yuen K (2020). Replication of fMRI group activations in the neuroimaging battery for the Mainz Resilience Project (MARP). Neuroimage 204:116223. doi: 10.1016/j.neuroimage.2019.116223.
>> Link to PubmedKöber G, Kalisch R, Puhlmann L, Chmitorz A, Schick, A , Binder H (2021) Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods. Biometrical Journal. 52. In press
Köber G, Pooseh S, Engen H, Chmitorz A, Kampa M, Schick A, Sebastian A, Tüscher O, Wessa M, Yuen KSL, Walter H, Kalisch R, Timmer J, Binder H (2022). Individualizing deep dynamic models for psychological resilience data. Sci Rep. 2022 May 16;12(1):8061. doi: 10.1038/s41598-022-11650-6.
>> Link to PubmedRiepenhausen A, Wackerhagen C, Reppmann ZC, Deter HC, Kalisch R, Veer IM, Walter H (2022). Positive Cognitive Reappraisal in Stress Resilience, Mental Health, and Well-Being: A Comprehensive Systematic Review. Emot Rev. 14(4):310–331. doi.org/10.1177/17540739221114642.
>> Link to articleSalinas-Hernández XI, Vogel P, Betz S, Kalisch R, Sigurdsson T, Duvarci S (2018) Dopamine neurons drive fear extinction learning by signaling the omission of expected aversive Outcomes Elife7, pii: e38818. doi: 10.7554/eLife.38818.
>> Link to PubmedSchäfer SK, Kunzler AM, Kalisch R, Tüscher O, Lieb K (2022). Trajectories of resilience and mental distress to global major disruptions. Trends Cogn Sci. 2022 Oct 24:S1364-6613(22)00238-8. doi: 10.1016/j.tics.2022.09.017. Online ahead of print.
>> Link to PubmedUngar M et al (2021) Multisystemic Resilience: Adaptation and Transformation in Contexts of Change
>> Link to articleVeer et al (2021) Psycho-social factors associated with mental resilience in the Corona lockdown. Transl Psychiatry 11:67
>> Link to Pubmed