The mission of BraiNavLab is to explore, model, and understand the intricate
structure and function of the human brain, uncovering how these are shaped by their
underlying genetic determinants. To achieve this, the lab leverages cutting-edge
statistical, machine learning, and deep learning methodologies.
Our current research is centered on advancing models of
structural, functional, and effective connectivity, as well as
brain microstructure, imaging genetics, and brain-computer interfaces (BCI).
In the field of ML/DL, we place a strong emphasis on developing
explainable AI techniques—designed not only to deliver accurate results but also
to open the black box and make algorithmic insights transparent and interpretable.
BraiNavLab's activities span a wide range of applications, bridging
fundamental neuroscience and translational research, with a particular focus on
neurodegenerative diseases such as Alzheimer's disease,
multiple sclerosis, stroke, and epilepsy.
Beyond research, the lab is actively involved in
international standardization efforts, contributing to initiatives such as
ISO/IEC JTC1, the JPEG DNA Interest Group, and DICOM WG-32,
helping shape the future of biomedical data representation and interoperability.