Jump to: Preclinical, Experimental and Animal Neuroscience, Multiscale and Multimodal Brain Connectivity, Clinical Machine Learning
This research line investigates the fundamental mechanisms of the brain using animal models and experimental approaches. By exploring the neural processes in these models, we aim to uncover foundational insights that can drive scientific breakthroughs in neuroscience.
This area of research focuses on elucidating the intricate networks of brain connectivity. By employing a combination of techniques across various scales, we map the complex interactions within the brain. Our goal is to develop a comprehensive understanding of how different regions of the brain communicate and collaborate.
Integrating machine learning with clinical neuroscience, this research line leverages advanced algorithms to analyze clinical data. Our objective is to enhance diagnostic accuracy and treatment efficacy for neurological disorders. By harnessing the power of artificial intelligence, we strive to offer innovative solutions for improving patient outcomes.
Our laboratory is dedicated to unraveling the complex cellular and molecular mechanisms that drive neurodegenerative and neuropsychiatric disorders. We employ cutting-edge computational approaches to analyze large-scale bulk and single-cell brain transcriptomic, proteomic, and epigenetic data, aiming to identify novel biomarkers and therapeutic targets.