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We are excited to announce that our new project on AI-driven brain stimulation for treating depression has received funding from the Technology Industries of Finland Centennial Foundation through the Future Makers programme.
This initiative perfectly complements our ongoing efforts in the Research Council of Finland-funded GUIDE-IN-TMS project. By integrating advanced AI-based diagnostic tools, the new project will enable us to significantly enhance our approach to personalized brain stimulation.
We are deeply grateful to the foundation for the generous €300,000 funding. Over the next three years, this support will allow us to advance the technology to a clinical trial-ready stage, bringing us closer to transforming depression treatment.
For more details about the awarded grants in this call, please visit this link.
Dr. Aydogan delivered an invited talk at the prestigious 2024 World Life Sciences Conference in Boao, China. The presentation focused on the cutting-edge topics on tractography and connectivity-based brain stimulation. This remarkable event, themed “One World, One Health,” brought together leading researchers and thought leaders from around the globe, including keynotes by four Nobel Laureates. A highlight of the trip was reconnecting with colleagues and friends.
Joonas is invited to deliver a guest lecture at the Annual ISMRM Nordic Chapter Meeting in Turku, under the theme ‘From Research to Clinical Use.’ We are very excited to contribute to the discussions on emerging technologies, sharing insights and advancements from our research in the field of MRI of neuromodulation. Grateful for this opportunity to engage with the community.
Research
Recent projects
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.
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. A preprint can be accessed from here.
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.