Our team from the Brain Modeling department (Neuroelectrics) recently had the privilege of participating in the 12th annual Barcelona Computational, Cognitive, and Systems Neuroscience (BARCCSYN) conference, held on May 30–31, 2024, at the historic Institut d’Estudis Catalans.
This event brings together computational, systems, and cognitive neuroscience researchers to foster lively discussions and promote collaborations—especially between theorists and experimentalists within Barcelona's vibrant research community!
Our Contribution: Personalized Brain Modeling
One of the highlights for our team was our researcher, Maria Guasch Morgades, presenting her poster titled "Multiparameter Optimization for Whole-Brain Model Personalization." This work addresses a significant challenge in neuroscience: developing efficient, personalized whole-brain models that can capture the intricate mechanistic insights and pathological features unique to each individual—particularly in the context of Alzheimer's Disease (AD).
Maria Guasch Morgades
The research utilizes hybrid brain models that combine biophysical head models with a network of laminar neural mass models (LaNMM). These models are adept at representing both slow (alpha) and fast (gamma) brain activities, which are crucial for understanding neural dynamics and are key biomarkers in AD (for more details on LaNMM, check this blog post).
Participating in BARCCSYN 2024 was a fantastic opportunity to spread the findings of the Neurotwin EU project. By showcasing our work on whole-brain model personalization, we aimed to contribute to the broader scientific dialogue on personalized neuroscience and foster collaborations that could accelerate advancements in the field.
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