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Computational NeuroImaging Research Group´s Profile image

Computational NeuroImaging Research Group

Research group
01.09.2022 -
A.I. Virtanen Institute for Molecular Sciences, Faculty of Health Sciences


Description of group

Computational NeuroImaging Research (CNIR) group develops methods and tools to study the brain. Our group focuses on the analysis of brain’s structural connectivity, tissue microstructure, and connectivity-based brain stimulation.



In our Academy of Finland funded (#348631, #353798), GUIDE-IN-TMS project , we are developing an MRI-guided major depression disorder treatment planning method using individualized, network-targeted TMS. To achieve this we are building a novel system that we named the “dual-closed-loop TMS-EEG-MRI”, where we adjust TMS parameters using feedback from both EEG and fMRI in (near) real time.


Real-time tractography-assisted neuronavigation

In this project, we developed a real-time tractography-assisted TMS neuronavigation system. Key features include the application of state-of-the-art tractography practices, the ability to tune tractography parameters on the fly, and the display of thousands of new streamlines every few seconds using a novel uncertainty visualization technique. Click the video for a demonstration of our system. (Click here for the preprint.)


Trekker is an open-source fiber-tracking software that is used by many research groups around the world. It estimates structural connections in the brain using diffusion MRI data using the parallel transport tractography (PTT) algorithm. We used Trekker and won awards in all the international tractography competitions organized since 2017. In 2021 MICCAI CDMRI tractography challenge, all the top three teams used Trekker.