When: 11-12 October 2021
Multimodal brain imaging employs various techniques aiming to unravel connectivity and functioning in the healthy and diseased brain along the dimensions of space and time. The Sinergia Summer School will be hosted by a consortium of senior and junior neuroscientists working together on projects aiming to explore brain communication pathways by combining diffusion based quantitative structural connectivity and EEG source imaging with application to physiological properties of brain communication networks and changes imposed by neurological problems, e.g. epilepsy. By better defining detrimental changes in signal flow along the brain’s communication pathways, the work of the consortium will help to improve treatments for neurological disorders, hopefully also decreasing negative side-effects of treatments for patients.
The consortium members will share their multi-faceted views on brain functioning and imaging with the participants of the summer school. Participants will thus benefit from the varying backgrounds of the lecturers ranging from neurology, to psychology, to physics and engineering. That is, the school will host and interdisciplinary audience in terms of teachers and participants, thus fostering interactions of basic and clinical neurosciences and engineering, and the transverse application of methods and results.
The summer school will provide unique insights into state-of-the-art approaches and methodologies to investigate brain communication pathways combining, e.g. diffusion-based quantitative structural connectivity and EEG source imaging. Lectures of renowned local and international experts, as well as hands-on tutorials will be accessible to Msc and PhD candidates with a strong interest in the field. Local junior neuroscientists will partner individual hands-on projects of summer school participants who are invited to apply the proposed methods to their own research questions. The aim of the summer school is to help participants learn to integrate various analysis techniques to their own data; from data formatting to pre-processing, analyses and modeling. Analysis pathways will be made transparent and accessible, and individual question time should help participants advance their own ideas and projects.
List of lecturers
- Patric Hagmann (Connectomics Lab, University and University Hospital Lausanne, CH)
- Serge Vulliemoz (Department of Clinical Neurosciences, University Hospital of Geneva, CH)
- Christoph Michel (Functional Brain Imaging Lab, Campus Biotech Geneva, CH)
- Gijs Plomp (Perceptual Networks Group, University of Fribourg, CH)
- Gustavo Deco (Computational Neuroscience Research Group, Universidad Pompeu Fabra, Barcelona, Spain)
- Pieter Van Mierlo (ELIS Electronics and Information Systems, Ghent University, BE)
- Maria Rubega (Functional Brain Imaging Lab, Campus Biotech Geneva, CH)
- Katharina Glomb (Connectomics Lab, University and University Hospital Lausanne, CH)
- David Pascucci (Perceptual Networks Group, University of Fribourg, CH)
- Marco Pizzolato Signal Processing Lab, Federal Technical University Lausanne (EPFL), CH)
- Sébastien Tourbier (Connectomics Lab, University and University Hospital Lausanne, CH)
- Yasser Alemán-Gomez (Medical Image Analysis Lab, University and University Hospital Lausanne, CH)
- Jonathan Wirsich (Department of Clinical Neurosciences, University Hospital of Geneva, CH)