New research section & team members

As of September 1st, we are a separate research section within the department of Anatomy and Neurosciences! Multiscale Network Neuroscience or MULTINET aims to integrate theoretical insights and empirical findings across different scales of measurement of the brain, ranging from microscopic investigation of individual cells and circuits to whole-brain imaging and behavioral assessments, in order […]

MULTINET at EANO 2021

Our team members will present three posters: Vera Belgers on The potential of cannabinoids to improve quality of glioma patients (P12.07) Tina Varkevisser and Jantine Röttgering on Symptom networks in glioma (P11.01) Jantine Röttgering on Symptoms of patients with diffuse glioma during stable disease as a potential target for treatment (P12.02) Come find them during […]

MULTINET at OHBM 2021

We are at OHBM 2021! Here are the posters where you could find us: #1643 by Shanna Kulik: Individual modeling of neurophysiological brain activity. Abstract & poster PDF #2297 by Lucas Breedt: Multimodal, multilayer network topology correlates of healthy aging and executive functioning. Abstract & poster PDF. And Linda was involved in the following two […]

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 […]