New blog – interview with Dr. Sarah Ayash
Dr. Sarah Ayash is a postdoc at Leibniz Institute for Resilience Research (LIR) and investigates stress resilience. In part nine of our blog interview series, she explains how we can positively influence our own resilience. The interview also featurs the DynaMORE publication “Psycho-social factors associated with mental resilience in the Corona lockdown” (Veer et al. 2021).
21 June 2021 – 6th Newsletter
New video: In the MRI scanner for DynaMORE
For the large international DynaM-OBS and DynaM-INT studies, the participants’ brain activity is first scanned in the magnetic resonance imaging (MRI) scanner while performing various cognitive tasks. Study sites for these MRI scans are Berlin, Mainz, Warsaw, Nijmegen, and Tel Aviv. What happens in the MRI scanner? Which tasks are people subjected to, and why? How many people are participating? And what’s the procedure when coming in to do the scan? In this video, Dr. Ilya Veer, Dr. Carolin Wackerhagen, PhD student Antje Riepenhausen, and Master student Begüm Topaloglu are answering these questions!
Panel Discussion on EMAs – 17 November 2021
17th November 2021 at 5 pm (CET): Don’t miss out on this panel discussion on how to best develop a protocol for experience sampling data & perform ecological momentary assessments (EMA), moderated by Dr. Jessica Fritz & Dr. Marilyn Piccirillo.
Hands-on workshop on MRI & ‘omics data analysis in Mainz – 20 November 2021
Register now for this local, hands-on methods workshop on “Integration of MRI and ‘omics data” in Mainz, Germany (registration extended until Wednesday, 17th November) by sending an email to firstname.lastname@example.org.
Save the date – #resilience2022 from 28–30 September 2022
The 8th International Symposium on Resilience Research (#resilience2022) will take place from 28th – 30th September 2022 in Mainz, Germany. Fingers crossed that it will be a “real people” face-to-face meeting this time!
We are a multidisciplinary team of researchers with the joint goal of developing an in silico model of stress resilience. To do so, we monitor healthy at-risk individuals (18+ years old) during stressful life phases, such as transition into adulthood or higher education, training-to-street transition (police officers), or abruptly changed life situations (accident victims in recovery). Multiple longitudinal studies collect psychological, behavioural, neural, and physiological markers, and apply advanced mathematical modelling to identify key risk indicators and resilience factors. The ultimate goal is a prognostic tool for people to monitor their mental stability, and to intervene effectively before the personal „tipping point“.
WHY IT MATTERS
To this date, each year, more than half a billion people in the world are affected by anxiety, post-traumatic stress disorder, depression, or addiction. These conditions often occur as a consequence of stressors, such as traumatic events, challenging life circumstances, strenuous transition phases, or physical illness. In Europe alone, stress-related disorders are believed to cause direct and indirect economic costs of about 200 billion € every year. Despite ample research efforts into the cause of these disorders, the burden on affected individuals and society as a whole has further grown. We believe that, instead of focusing on disease, we need to understand what keeps us healthy.