Kraków, 22nd to 27th of August, 2022

We cordially invite you to the 2022 COST Summer School.

The aim of the event is to present to you the dataset we have collected in Kraków alongside an introduction to the key analysis methods used. The first three days of the school focus on the structural imaging of the brain: how the anatomical, histological, volumetric, and connective properties of the brain can inform our understanding of the individual differences. The remaining days offer an opportunity to dive into other pivotal aspects of the dataset, that is the resting state functional connectivity and the DNA phenotyping. As the metacognitive aspect of the Kraków’s dataset is substantial, we also plan for a metacognition session. Last, but not least, we will focus on machine learning methods with a particular focus on how these can help us to better understand relationships between the rich array of imaging results and between-subjects differences in behaviour.

Institute of Psychology, Jagiellonian University, Ingardena 6, 30-060 Kraków
Ongoing - register HERE
Total cost:
600 €
Confirmed speakers:
Antoine Lutti (Centre for Research in Neuroscience, University of Lausanne)
Borysław Paulewicz (Consciousness Lab, Jagiellonian University)
Chen Song (Brain Research Imaging Centre, Cardiff University)
Claude Bajada (Faculty of Medicine and Surgery, University of Malta)
Daniel Margulies (Centre National de la Recherche Scientifique)
Irene Mikkelsen (Center of Functionally Integrative Neuroscience, Aarhus University)
Krystian Sandberg (Center of Functionally Integrative Neuroscience, Aarhus University)
Michał Wierzchoń (Consciousness Lab, Jagiellonian University)
Paola Galdi (MRC Centre for Reproductive Health, University of Edinburgh)
Per Qvist (Department of Biomedicine, Aarhus University)
Renate Ritiku (Consciousness Lab, Jagiellonian University)
22/08 - Introductions, theories of consciousness, overview of IT infrastructure, overview of data, networking.
23/08 - Structural imaging: DKI, DWI
24/08 - Structural imaging: VBM, sMRI, qMRI
25/08 - Resting-state fMRI, DNA
26/08 - Metacognition
27/08 - Integration of multiple data for prediction of individual differences, machine learning.