Welcome to the Axonlab
Latest News
(Find out more at the news page.)
Our preprint Registered Reports as the default pathway for confirmatory publication is out! (Oct 15, 2026)
NiPreps milestones: fMRIPrep passes 5,000 citations (Oct 2026)
Oscar examines Dr. Gabriela Gómez Jiménez’s PhD thesis at Université Paris-Saclay (Oct 9, 2026)
The INDoS Working Group 3 Training School in Madrid and online, 30 September to 2 October 2026 (Oct 2, 2026)
Thank you, CZI! The EOSS grant for NiPreps concludes (Sep 2026)
Congratulations to Philip Nkwam on WebMRIQC, accepted at the MICCAI 2026 MIRASOL Workshop! (Sep 2026)
We investigate the neuroimaging workflow to map out the brain’s connectivity networks, characterize the reliability, sensitivity and specificity of these methodologies (from acquisition to formalization of network information) and apply them in the understanding of the healthy and diseased developmental trajectories of the human brain.
To this end, we develop computational methods to extract structural and functional connectivity from a variety of MRI (magnetic resonance image) techniques and corresponding physiolgical information. In particular, we use anatomical MR schemes (e.g., T1-weighted and T2-weighted), diffusion MRI for the structural connectivity, and BOLD (blood-oxygen-level-dependent) MRI for the functional connectivity. We engage in open science and support community tooling. In particular, The Axonlab is deeply involved in the development of the NeuroImaging PREProcessing toolS (NiPreps).
The Axonlab is at the School of Engineering (HEI) of HES-SO Valais-Wallis, in Sion (Switzerland). It was founded in 2020 at the Department of Radiology of the Lausanne University Hospital (CHUV).
The lab’s work has been supported by the SNSF Ambizione project Uncovering the interplay of structure, function, and dynamics of brain connectivity using MRI (grant number 185872), by the NIMH (RF1MH121867, PIs: Poldrack, Esteban, Rokem, Satterthwaite, and Milham), and by the Chan Zuckerberg Initiative’s Essential Open Source Software for Science program (NiPreps and NiBabel).
