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Last week, 130 researchers of the #SFBTRR393 & invited guests gathered at Kulturrathaus Dresden for an inspiring retreat. 4 days of sharing recent results, discussing new directions, and strengthening collaborations across sites. More & more difficult to get everyone into one photo, but we managed!
I only can echo- highly recommended! Working with Miriam is great!
Studie zu psychischem Wohlbefinden: 📋 Das @kanskelab.bsky.social sucht Paare für die Teilnahme an einer Studie. Die Wissenschaftler:innen möchten erforschen, wie Stressereignisse in Partnerschaften weiterwirken & wie sich Stressresilienz trainieren lässt. ℹ️ tu-dresden.de/mn/der-berei...
Our special issue on the CRC/TRR 393 "Trajectories of Affective Disorders" is out. Find out all about the project here www.springermedizin.de/der-nervenar... @trr393.bsky.social @tudresden.bsky.social @uni-muenster.de @unimarburg.bsky.social
Introduction to the interventions tested in our @trr393.bsky.social consortium to improve #depression and #bipolardisorder Big thanks to @lisaleehr.bsky.social! @unimarburg.bsky.social @tudresden.bsky.social @uni-muenster.de @dfg.de @dgps.bsky.social link.springer.com/article/10.1...
Inspiring talks at the Symposium of the „Interessensgruppe Klinische Biopsychologie“ @dpk-kongress.bsky.social Thanks to all the speakers!
🧠 Our CRC/TRR 393 consortium outlines key mechanisms of affective disorders — focusing on emotion regulation, expectation, social cognition, and cognitive-behavioral rhythms. Read here 👉 doi.org/10.1007/s001... @kanske.bsky.social @markuswohr.bsky.social @lisaleehr.bsky.social @trr393.bsky.social
📢Out now! @codingfisch.bsky.social and colleagues present deepmriprep, a tool that leverages neural networks to enable 37x faster Voxel-based Morphometry preprocessing of MRI data than existing methods. www.nature.com/articles/s43... #compneurosky
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Teilnehmer:innen gesucht: Prof. Nina Alexander v. LOEWE-DYNAMIC untersucht in einer Studie, wie #Stressereignisse innerhalb von Partnerschaften weiterwirken+ prüft, ob sich psychisches Wohlbefinden+ #Stressresilienz durch Trainingsansätze🎯verbessern lassen. Mehr➡️ www.linkedin.com/posts/depres...
Background Affective disorders are associated with an enormous disease burden, necessitating research on the mechanisms of effective treatments. Objectives This article introduces the intervention pro...
link.springer.com
What to target? Interventions to modulate key mechanisms underlying the trajectories of affective disorders in the transregional Collaborative Research Center 393 - Der Nervenarzt
Background Although affective disorders are a major driver of disability worldwide, there is a lack of understanding of the mechanisms and modulating factors involved in the long-term disease trajecto...
doi.org
deepmriprep leverages neural networks to enable voxel-based morphometry preprocessing of MRI data that is 37× faster than existing methods while achieving comparable accuracy in segmentation, registra...
www.nature.com
Key mechanisms of affective disorders - Der Nervenarzt
deepmriprep: voxel-based morphometry preprocessing via deep neural networks - Nature Computational Science
2mo
SFB/TRR 393
Lisa Leehr
Lisa Leehr
TNM-Lab
TU Dresden
Philipp Kanske
Philipp Kanske
Nature Computational Science
Highly recommended - our new colleague Miriam Schiele is looking for a PostDoc interested in the intersection of clinical psychology / neuroscience / molecular biology. @tudresden.bsky.social @biodgps-dgpa.bsky.social @dgps.bsky.social tu-dresden.de/vacancy/12647
4mo
ProLOEWE
Philipp Kanske
Our new open dataset www.nature.com/articles/s41... NEVi @tudresden.bsky.social provides 112 validated video clips to elicit negative emotions, with valence and arousal ratings to study emotion with dynamic stimuli also used by @trr393.bsky.social @katfoerster.bsky.social @kanske.bsky.social
3mo
Scientific Data - NEVi: Negative Emotional Video dataset – categorizing stimulus intensity ratings based on valence and arousal
www.nature.com
NEVi: Negative Emotional Video dataset – categorizing stimulus intensity ratings based on valence and arousal - Scientific Data
Stefan Ehrlich