Silvia Gini

The paper shows that cortical excitability inversely affects fMRI connectivity, with low-frequency neuronal coupling being the key driver of these changes.

The paper develops a whole-cortex model of resting-state fMRI activity in mice, showing that attractor dynamics explain the emergence and structure of co-activation patterns (CAPs) through anatomical connectivity.

This paper establishes a transcranial fUSI protocol and preprocessing framework to map mouse brain networks, showing high spatial concordance with fMRI and revealing structure-function coupling and dynamic resting-state patterns.

This study shows that a transient developmental excitation-inhibition imbalance causes lasting social brain circuit dysfunction in mice, with behavioral and transcriptional consequences.

This paper quantifies the energy cost of non-equilibrium brain computation using a new framework, showing the human brain is more energy-efficient than other mammals and cognitive tasks vary in their energy demands.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

This study investigates developmental dysconnectivity in 22q11.2 deletion syndrome using a cross-species approach, finding age-specific fMRI connectivity changes with synaptic origins.

The paper identifies hypo- and hyperconnectivity subtypes in autism using cross-species fMRI, linking them to distinct biological mechanisms in mice and humans.

The paper shows that synapse diversity in the mouse brain influences regional dynamics, with specific synapse types linked to distinct patterns of brain activity and connectivity.

This study uses computational whole-brain modeling to show that competitive interactions in mammalian connectomes enhance computational capacity and fit brain dynamics better than cooperative-only models.

This paper investigates brain network and behavioral changes in a mouse model of CTD and shows that perinatal gene therapy can partially reverse some symptoms but not all.

This study reviews infant neuroimaging studies from 2000 to 2020 and finds that single subject space is most commonly used, with off-the-shelf templates becoming more prevalent over time.