Valerio Zerbi

The paper introduces a novel MRI-compatible microscope to simultaneously record single-cell calcium activity and whole-brain BOLD fMRI in awake mice, revealing vascular-dependent neural activity patterns.

This study shows that TSPO knockout prevents hippocampal network dysfunctions in 3xTgAD mice without affecting amyloid or tau levels.

This paper optimizes temporal interference stimulation (TIS) targeting in mice to reduce off-target effects while maintaining efficacy in the prefrontal cortex.

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

The paper identifies a conserved locus coeruleus (LC) fMRI signature across sleep, anesthesia, and wakefulness, showing its impact on brain-state transitions and functional connectivity.

This study uses BOLD- and ADC-fMRI to investigate how the lateral superior colliculus contributes to the transition from static to dynamic vision in rats.

The paper reduces a large set of time-series features to a smaller, efficient subset for analyzing fMRI data from mouse cortical circuits, showing improved performance and generalization.

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

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 investigates how manipulating D1 medium spiny neurons affects BOLD dynamics in connected brain regions using resting-state fMRI.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

This study shows that tonic and burst firing patterns of the locus coeruleus modulate brain activity and dynamics in mice through distinct mechanisms.

This paper develops a neural-mass model of the mouse cortex to understand brain dynamics using bifurcation diagrams and shows strong fits to resting-state fMRI data in simple dynamical regimes.

This study identifies two functional connectivity gradients in the mouse hippocampus, revealing sharp and gradual transitions, and shows gene co-expression gradients show more segregated organization.

This paper introduces an optimized registration workflow and standard geometric space for small animal MRI, improving consistency and data comparability across subjects and sessions.

This study uses optogenetics and fMRI to show that D1 and D2 MSNs in the striatum differentially activate brain regions beyond the basal ganglia, revealing complex functional interactions.

The paper shows that transient maternal IL-6 elevation during early neurodevelopment disrupts hippocampal connectivity and enhances glutamatergic synapses in offspring through the STAT3/RGS4 pathway.

The paper maps brain connectivity in 16 autism mouse models to identify four subtypes of functional connectivity abnormalities linked to different etiologies.

The paper shows that the Hurst exponent from fMRI BOLD signals indexes synaptic excitation-inhibition ratio, revealing sex-specific E:I imbalance in autistic mice medial prefrontal cortex.

The paper compares cortico-striatal circuits across humans, non-human primates, and mice using resting state fMRI data, finding conserved patterns in some regions but unique circuits in primates.

The paper shows that increasing the excitation-to-inhibition ratio in mouse cortical circuits using chemogenetics reduces long-range connectivity and can be detected via fMRI-based classifiers.

This study identifies reproducible resting-state networks in the mouse brain across multiple centers using standardized rsfMRI analysis.

This study uses chemogenetic activation of the locus coeruleus in mice combined with resting-state fMRI to show rapid changes in functional connectivity, particularly in salience and amygdala networks.

The paper identifies conserved large-scale cortical gradients in mice and humans, showing similar patterns in cytoarchitecture, gene expression, and connectivity across species.

This paper introduces dynamic graphical models for directed functional connectivity and evaluates their performance using simulated and human fMRI data.

This study uses tACS-fMRI to show that power-synchronized neural activity increases resting state fMRI connectivity, providing causal evidence for the role of power fluctuations in forming RSNs.

The paper examines the relationship between structural connectome topology and regional BOLD signal dynamics in the mouse brain, finding strong correlations between weighted in-degree and fMRI time series autocorrelation.