Alessandro Gozzi

This study shows that endogenous oxytocin alters brain network dynamics, increasing salience-related network states and decreasing sensory-dominated states in mice.

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 paper uses AI to analyze neuroscientific literature and discovers conserved cognitive circuits across species.

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.

The paper uses functional connectivity to parcellate the mouse prefrontal cortex and shows that perturbing specific clusters affects only their associated functional networks.

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 identifies molecular pathways associated with neurodevelopmental disorder subgroups using neuroimaging data from mice and humans.

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.

The paper identifies evolutionarily conserved dynamic fMRI network patterns across mouse, macaque, and human brains using frame-wise clustering of time-series data.

This study shows that Ube3a gene overdosage causes sex-biased effects on brain connectivity, behavior, and gene expression in mice, linking it to autism-related phenotypes.

The paper examines the relationship between structural and effective connectivity in the mouse brain, finding that effective connectivity aligns with a unimodal-transmodal hierarchy while structural connectivity shows mismatches in higher-order networks.

This study identifies bursty dynamics and modular subgraphs in mouse and human brain networks, showing cross-species consistency in co-fluctuation patterns and anatomical connectivity.

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 shows how local brain manipulations affect global brain dynamics using simulations and experimental data, revealing specific network changes and localization of effects.

This study shows that complement signaling via C3r is critical for perinatal neuronal elimination but not synaptic pruning in the developing brain.

This paper introduces a method to weight anatomical brain connectivity data using multi-modal MRI data and evaluates its performance on the Human Connectome Project dataset.

The paper compares information transmission patterns in human, macaque, and mouse brains, finding that humans use parallel pathways while other mammals use single pathways.

The paper shows that silencing the prefrontal cortex paradoxically increases resting-state fMRI connectivity with its thalamo-cortical terminals.

The paper uses functional MRI in newborn chicks to identify the brain regions involved in long-term storage of imprinting memories.

This study investigates spatiotemporal dynamics of spontaneous brain activity in awake mice using resting-state fMRI, finding unique patterns distinct from anesthetized states.

The paper links mTOR-related synaptic pathology to functional hyperconnectivity in autism using mouse models and human fMRI data.

This study investigates somatosensory processing deficits in Shank3b-/- mice, finding reduced cortical and hippocampal activation and connectivity linked to hypo-responsiveness to tactile stimuli.

The paper combines connectome analysis and computational models to show autism has altered subcortico-cortical interactions linked to microcircuit and macroscale network anomalies.

This study investigates how xanomeline, an M1/M4 agonist, affects brain functional connectivity in mice using phMRI, rsfMRI, and qEEG, showing both direct and modulatory effects on neural activity and connectivity.

This paper provides a voxel-level description of the directed mouse connectome, revealing hierarchical structure and functional organization.