• Fernando Santos has joined the lab!

    I am trained in statistical mechanics and applied topology. My current interests are in using methods of topology, geometry, statistical mechanics, and topological data analysis (TDA) in neuroscience. During my Ph.D. at Federal University of Pernambuco (Brazil), I studied the topological aspects of phase transitions in classical Hamiltonian systems. Later, I spend one year as a […]

  • MuMoBrain has started!

    In order to celebrate the first included subject for our MultiModal Brain study (which aims to use multilayer graph theory in order to advance our understanding of individual differences in cognitive functioning), we had a little get together with the large team and ate this homemade MuMoBrain-logo cake!

  • Modeling brain dynamics in brain tumor patients using The Virtual Brain

    By Shanna Kulik, Tianne Numan, Linda Douw Update: this paper has now been published in Eneuro! With great interest we read the recent BioRxiv contribution by Aerts and colleagues (2018). We would here like to informally offer some of our thoughts and suggestions on this piece of work. In this simulation study, Aerts and colleagues […]

  • Jolanda’s pitch @CCAnext

    Jolanda was in the top 3 pitchers at CCAnext!!

  • Maxine Gorter

    Combining science and clinical work to help people with brain injury, that is what I want to do. Fascinated by the complex interplay of brain function and cognition, I tried to get an understanding of the neurobiological and behavioral mechanisms in humans during my studies. In addition, I was always trying to balance my interests […]

  • Quirien Oort

    Quirien Oort is no stranger in neuro-oncological research: coming from a neuropsychological background, she is been working on her dissertation on quality of life in brain tumor patients with Martin Taphoorn (LUMC), Linda Dirven (LUMC), and Jaap Reijneveld (VUmc). She now joins the lab to explore MRI and network analysis. Welcome Quirien!

  • Spotlight on Neurology paper

    The paper on hub-rich networks in MS by Kim Meijer was put in the spotlight by the editors of Neurology. In this study, cognitive impairment in multiple sclerosis was related to altered communication of hub-rich networks. The default mode and frontoparietal networks showed increased functional connectivity, but only with more peripheral regions (i.e., non-hubs), in […]

  • OHBM 2017

    We will be going to Vancouver, and will present the following posters: Tuesday, #2019: the microscopic substrates of macro-scale graph theoretical properties of the brain, first author Svenja Kiljan (more info here) Thursday, #3057: the (dynamic) connectivity profile of the cerebellum in MS, and its cognitive correlates, first author Menno Schoonheim (more info here) Thursday, […]

  • Tianne Numan

    I am trained as technical physician and have a specific interest in the brain. During my PhD project in the UMC Utrecht at the intensive care unit (ICU) I did several projects on EEG based delirium monitoring and EEG based network analyses during delirium and sedation. I really enjoyed the combination of performing analyses and […]

  • Dynamic connectivity patterns predict cognitive decline after neurosurgery

    In a collaboration between the CCA VUmc Brain Tumor Center, Amsterdam Neuroscience, and the VUmc MEG center, we investigated the association between dynamics of “functional connectivity” and cognitive outcome in patients undergoing neurosurgery. The study, which was published in Scientific Reports, shows that preoperative measurement of these dynamics may be essential for predicting whether patients […]