BraiNavLab Research Projects


Explainable AI

Explainable AI

While machine/deep learning approaches have undeniable advantages, the more the model is complex the more having explanations is mandatory to build trust on the outcomes and interpret the results, especially in medicine, healthcare and neuroscience fields. Such complexity leads to questions of trus…
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Gloria Menegaz
Ilaria Boscolo Galazzo
Lorenza Brusini
Giorgio Dolci
Imaging Genetics

Imaging Genetics

The imaging genetics targets the investigation and modelling of the link between image-derived endophenotypes and genetic determinants at different scales. Information regarding genetic variants, either at SNP or aggregated levels, and imaging descriptors derived from different modalities is jointl…
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Gloria Menegaz
Ilaria Boscolo Galazzo
Lorenza Brusini
Giorgio Dolci
Irene Treccani
Silvia Saglia
Dynamics and Brain Connectivity

Dynamics and Brain Connectivity

Modelling brain connectivity allows characterizing the interplay among different regions, either in the form of functional dependencies (functional and effective connectivity) or backbone of connections (structural connectivity). Besides this, understanding the relationship between such different f…
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Gloria Menegaz
Silvia Francesca Storti
Ilaria Boscolo Galazzo
Lorenza Brusini
Nicola Valè
Ettore Cinquetti
Edoardo Paolini
Giorgio Dolci
Irene Treccani
Virginia Filippi
Silvia Saglia
Brain Aging

Brain Aging

How old is ones’ brain? This apparently simple question hides an extremely complex system where endogenous and exogenous variables of different type interplay in a still unknown manner. Marked changes occur in the brain during the lifespan and individual rates of aging have revealed pronounced indi…
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Gloria Menegaz
Ilaria Boscolo Galazzo
Lorenza Brusini
Giorgio Dolci
Irene Treccani
Silvia Saglia
Brain Computer Interface

Brain Computer Interface

This project advances Brain–Computer Interface (BCI) technologies through two complementary approaches. The active BCI focuses on decoding brain activity during motor imagery using EEG and deep learning methods to improve the translation of neural signals into real-time control commands for externa…
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Silvia Francesca Storti
Ettore Cinquetti
Nicola Valè
Ilaria Siviero
Brain Microstructure

Brain Microstructure

The diffusion Magnetic Resonance Imaging (dMRI) is sensitive to random movements of nuclear spins carried by particles such as water molecules. The diffusion process in the brain tissue is hindered by its complex architecture due to the broad variety of cellular structures. Microstructure propertie…
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Gloria Menegaz
Lorenza Brusini
Deep Brain

Deep Brain

Oxygen toxicity is a problem in diving, with potentially fatal consequences for the diver in the water. When divers use a closed-circuit oxygen rebreathing apparatus, they are breathing O2 100% and are exposed to hyperoxide conditions. In this scenario, the body could be affected in different ways …
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Silvia Francesca Storti
Epilepsy Surgery Outcome Prediction

Epilepsy Surgery Outcome Prediction

In drug-resistant epilepsy, where medications fail to control seizures, surgical resection of the epileptogenic zone can offer a potential cure. However, surgical success depends critically on accurately identifying the brain regions generating seizures and understanding their network-level interac…
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Silvia Francesca Storti
Edoardo Paolini
EEG Microstates

EEG Microstates

EEG microstates are brief periods—typically lasting 60 to 120 milliseconds—during which the scalp electrical field remains quasi-stable before rapidly shifting to a new configuration. They are thought to represent the transient activation of large-scale neural networks, often called the “atoms of t…
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Silvia Francesca Storti
Edoardo Paolini
Ilaria Siviero