6/23/2023 0 Comments Toolbox for keynote crackedLooking ahead, I’m not sure if it will be done in five years, but it will be really exciting if we can go outside of the academic field, outside of doing research to just get the next papers, and to mature enough to actually bring our research into clinical practice. SE: Well if we manage to do the things we just mentioned, I’ll be quite happy! The predictive modeling, but also brain mapping, understanding organization and topographical complexity of the brain. TY: Moving forward – what do you hope your research will accomplish in the next 5-10 years? But how does all of that work together? That’s the critical question, and cracking this kind of topographical code, that’s something that we can hopefully get closer to. You can use each of these features to map the brain and to delineate brain areas. But also, what’s the functional connectivity profiles at rest and during task, what are the structural connectivity profiles, and so on. So for each point in the brain you can say, what are the structural properties, what is the trajectory as we age, how is it disturbed or changed in people with Parkinson’s or schizophrenia. You can describe the brain through a lot of different features. The second part is more related to brain mapping. There’s a lot of work going on in our lab that really tries to combine the more data-driven work from a computer science perspective, with the more traditional neuroanatomical view. But in the end, we also want to learn something about the brain – how the brain is organized. It’s one thing to be on the data-driven side, and to get good compressions, good predictions. This is one of the aspects that I really want to push, as it’s not highlighted enough in current discussions. What we need is good predictive performance, while also learning something about brain organization. Can we actually infer complex phenotypes from brain imaging data? Can we predict personality traits or cognitive performance? And the key aspect here is - given that there’s quite a lot of work on this already - can we predict it in an interpretable fashion. SE: There are two things we are doing right now that I’m really excited about. TY: Your lab is involved in several projects – but what is the most exciting thing you’re working on now? I started my doctoral studies there and never really managed to leave. So I called Karl Zilles’ secretary, met him, and was really fascinated. He told me about brain research there and I thought it sounded quite interesting. I studied medicine in Aachen, and late at night at a party in my hometown, I met a friend from school who had started studying in Dusseldorf. TY: That’s a rich set of activities – how did you end up on this research path? Then ultimately, I want to contribute to developing new tools for diagnosing and treating neurological and psychiatric disorders. Simon Eickhoff (SE) : I would say that I’m interested in how the brain is organized, how it varies between people, and how this variability relates to things like cognitive capacities. How would you describe your research to a random person on the street? Implemented successful projects promoting energy efficient actions show that cost-effective energy actions can reduce the energy consumption 10 to 40% per measure both for developing and industrialized countries with average payback periods lower than 5 years.īased on our own experience and international best practices, the Centre has developed a water toolbox to disseminate and circulate success stories to engage other cities, countries or organisations that could be potential partners in replicating successful activities.Thomas Yeo (TY): Today we have Prof Simon Eickhoff here, a keynote speaker at OHBM 2018. Every litre of water served through a system represents a significant energy cost, so that energy inefficiencies and water losses have a strong impact due to the cascade of actions downstream from the consumer. The water-energy nexus is based on the reality that treating water for human consumption and moving treated water to the consumer is an extremely energy intensive undertaking. Water supply systems are one of the predominant energy demand sources of municipalities, entailing shares in the order of 30 to 50% of their electricity bill, with significant variations of ranges.
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