After three successful editions of the connectomics summer school organized by the Dutch Connectome Lab, we’re pleased to announce the fourth edition of the summer school: Exploring the Human Connectome 2020.
Brain function depends on effective processing and integration of information within a complex network of neural interactions, a network we all became to know (and love) as the connectome. Advances in MR imaging in combination with the application of network science have led to a rapid growth of the field of human connectomics in the last years.
Enrollment will open soon and closes on June 1st or once all 40 spots have been filled. Registration fee is €850 (€750 for early bird registration before May 1, 2020) and includes everything to survive the day: lectures, workshops, course materials, coffee, tea, lunch, afternoon snacks and drinks and a couple of fun social activities.
In case there are fewer than 20 participants, we reserve the right to cancel the summer school.
This summer school will teach the fundamentals of structural and functional connectomics. We will talk about reconstruction and analysis of MRI-derived human connectome maps (day 1), explain (and practice!) the application of basic (day 2) and advanced graph theoretical metrics (day 4 & 5) to brain networks and teach on different strategies to do patient-control statistics on connectome data (day 3). The discussed network analysis methods are applicable to all modalities of networks and will be applied to structural and functional brain networks in the hands-on workshops.
During the 5-day program, there is ample opportunity to put all new material directly into practice during afternoon workshop sessions. A unique feature of this summer school is that we encourage participants to work on their own MRI connectome data during the summer school.
The Dutch Connectome Lab of Martijn van den Heuvel is part of Vrije Universiteit Amsterdam and Amsterdam UMC. The Dutch Connectome Lab has a strong record in the development of automated MRI-based white matter connectome reconstruction methods as well as in novel computational approaches to connectivity analyses in neuroscience.
If you have any other question feel free to send us an email.