Mattia Veronese

This paper develops normative models to detect deviations in molecular-enriched functional connectivity associated with amyloid burden in healthy aging brains.

This study integrates molecular-enriched functional connectivity with structural MRI to improve brain-age prediction, showing enhanced accuracy and biological interpretability.

This study identifies structural brain deviations in post-COVID-19 patients using normative modelling and network analysis, linking them to TMPRSS2 expression and neural circuit disruptions.

The paper integrates transcriptome-wide association studies with brain atlases to map polygenic risk onto structural brain changes in psychiatric disorders, finding significant correlations in some disorders but not others.

The paper applies Functional Connectome Harmonics and Leading Eigenvector Dynamics Analysis to resting-state fMRI data from children to characterize preadolescent brain network organization.

The paper uses metabolic covariance analysis on PET imaging data from a mouse model of Alzheimer's disease to show age-related metabolic network changes and their alignment with clinical AD stages.

The paper uses REACT and normative modelling to analyze functional neurocircuits in neuropsychiatric patients, revealing transdiagnostic deviations in neurotransmitter systems and symptom overlaps.

The paper identifies a striatal gene set linked to schizophrenia risk that predicts in vivo dopamine synthesis and striatal activation in neurotypical and patient cohorts.

This paper extends the REACT method to ASL fMRI, showing it can detect molecular-enriched functional connectivity comparable to BOLD fMRI, with complementary information.

This paper uses neuroimaging meta-regression to examine THC's acute effects on brain activation and its relationship with CB1R gene expression.

The paper introduces PET-BIDS, an extension of the BIDS standard for PET data, and provides curated datasets and tools for its use.

This study shows that lower doses of intranasal oxytocin have maximal effects on amygdala physiology, with subregion-specific responses and no disruption of cerebrovascular reactivity.

This paper identifies neurotransmission-related functional connectivity biomarkers in chronic pain patients and shows their predictive value for analgesic response to duloxetine.

The paper uses imaging transcriptomics to link neuroimaging markers with transcriptomic and cellular correlates in the human brain, showing robust results across different parcellation methods.

The paper develops a rat brain age prediction algorithm using MRI and validates it through a healthy lifestyle intervention, showing reduced brain ageing with environmental enrichment and dietary restriction.

This study identifies cortical morphometric similarity remodelling in chronic pain and links it to transcriptomic changes in glial and neuronal genes across multiple pain syndromes.

The paper identifies co-expression patterns between GABA receptor subunits and interneuron markers, linking them to in vivo PET radiotracer binding in human brain data.

The paper investigates the relationship between central CB1-receptor availability and peripheral endocannabinoids in first-episode psychosis patients and healthy controls, finding dysregulated cross-talk between these systems.

This study investigates the role of TLR2 in neuroinflammatory responses in a rodent model of obstructive sleep apnea, linking it to behavioral and metabolic changes.

This study uses REACT to analyze how methylphenidate affects dopaminergic and noradrenergic circuits in the brain and links these effects to behavioral responses in a reinforcement-learning task.

This study shows that sub-chronic ketamine in mice increases striatal dopamine synthesis and locomotor activity, which can be reversed by targeting PV interneurons and TAAR1.

This study uses dynamic 11C-PiB PET to show reduced cerebrospinal fluid clearance in Alzheimer’s disease and multiple sclerosis compared to healthy controls.

The paper uses Mapper to create gene co-expression networks that reflect brain anatomy and function, validated with the Allen Human Brain Atlas and dopamine-related gene sets.

This study finds that perinatal brain injury in very preterm humans is linked to reduced dopamine synthesis and hippocampal volume in adulthood.