About Me
Hi, my name is Tommy and I’m a postdoctoral researcher at the departments of Anatomy & Neurosciences and Neurology (Amsterdam UMC, location VUmc). As a cognitive neuroscientist with deep computational expertise, I am devoted to leveraging neuroscientific insights and advanced modelling to improve the lived experiences of people with debilitating brain disorders. My work is grounded in holistic and dynamic principles, recognizing that cognition emerges from distributed and continuously evolving brain networks interacting in an ever-changing environment. I envision that insights from network neuroscience, multimodal neuroimaging and artificial intelligence (AI) are crucial to further our understanding of cognition in health and disease. My ambition is to build an independent research line that links dynamic brain function to how people with brain disorders meet challenges in daily life.
This page is mainly intended to provide a quick overview of my shared code. Feel free to contact me if you are interested in collaborating and/or applying any code to your own research!
Shared Code
This is my preprocessing pipeline for functional and structural connectivity and network analyses using resting-state fMRI and diffusion MRI.
This code will perform phase randomization on fourier transformed data, consistently across timeseries. This preserves static connectivity and n-lag autocorrelation, but time-dependent connectivity properties are randomized.
This code will perform community detection for multilayer connectivity matrices. The code is relatively computationally inexpensive and uses prior information on subnetwork organization to initialize/constrain the detection.
Selected publications
Publications