Eduarda will present at GSI ’21

Eduarda will be presenting the hands-on tutorial on graph and topological network analysis at the conference on Geometric Science of Information, held hybrid-style between 21-23 July in Paris, France! Details can be found here.

GOALS2 highlighted

In GOALS2, we will prospectively investigate whether brain activity measured with MEG or EEG could help determine (pseudo)progression in glioma. The work builds on previous work on the interaction between these primary brain tumors and the surrounding brain tissue. Excited to get started later this year! https://www.amsterdamumc.org/research/institutes/cancer-center-amsterdam/news/-tracking-the-progression-of-brain-tumors-with-non-invasive-methods-.htm

Fernando receives IAS fellowship

The Institute for Advanced Study (IAS) in Amsterdam has granted Fernando a visiting fellowship starting in the spring of 2021! He will investigate high-order interactions in complex systems, asking: how can we empirically measure high-order interactions in networks? Focusing on clinical network neuroscience, this research seeks to connect high-order brain network properties with behavioral properties.

Lucas Breedt joins the lab (again)!

While studying psychology, I realized that my interests leaned more towards research than clinical work. During my master’s I therefore decided to do a research internship, and I ended up at the department of Anatomy and Neurosciences of the VUmc, where I looked at the MEG-based brain networks of patients with MS in relation to […]

Two posters at OHBM2020!

#1493 by Shanna Kulik, on Modeling neurophysiological brain activity in individual subjects; we describe a personalized Jansen-Rit neural mass model that uses individual structural connectivity to recapitulate MEG-based empirical functional connectivity. #2064 by Vera Belgers, in which we use MEG oscillatory activity as a proxy of brain activity to predict progression-free survival in glioma patients, […]