Francesco Saverio Pavone

This study uses EEG and machine learning to classify meditation styles and mind-wandering, showing high accuracy within individuals but poor generalization across subjects.

This paper develops a saliva-based diagnostic platform using nanoparticle-enhanced TIRS microscopy to detect early Alzheimer's disease biomarkers with high sensitivity and accuracy.

The paper develops a method to label and map myelinated fibers in human brain tissue using light-sheet fluorescence microscopy and automated image analysis, enabling high-resolution structural characterization.

This paper develops a 3D imaging pipeline for automated quantitative cellular phenotyping of FFPE human brain tissues, revealing cytoarchitectural features in patients with cortical development malformations.

This study characterizes anisotropic light scattering in human white matter by measuring tensor components and correlating them with axon fiber orientation.

The paper develops an all-optical system to inhibit cortical neurons and monitor responses, showing widespread suppression of sensory responses after optogenetic silencing.

The paper evaluates functional connectivity in Shank3b mice across ages and brain states, finding age-dependent hyperconnectivity that is anesthesia-sensitive.

This paper introduces a compact prism-based microscope for sensitive detection of biomarkers in fluid samples, achieving a 1 fg/mL limit of detection for bacterial lipopolysaccharides.

The paper develops a two-photon optical system for high-speed volumetric recording and optogenetic stimulation in larval zebrafish to reconstruct functional connectivity of the left habenula.

This paper introduces a new platform for hyperscanning in freely moving mice to study inter-brain synchrony during social interaction, finding frequency-dependent synchronization across the cortex.

This study shows that anesthesia levels affect the spatiotemporal features and functional connectivity of sensory-evoked responses in the mouse cortex, with the late component persisting under anesthesia.

The paper demonstrates that cardiac myocyte T-tubules can generate action potentials autonomously, distinct from those in the sarcolemma, using an all-optical method.

This paper introduces a semi-supervised segmentation model for identifying supragranular and infragranular layers in human cerebral cortex MRI scans with high precision.

The paper develops BRANT, a tool for whole-brain neuronal activation mapping in mice, revealing strong sexual dimorphism in fear memory circuits.

The paper uses all-optical methods in awake mice to reveal a segregated functional organization of forelimb representations in the motor cortex, identifying a new lateral grasping area.

This paper develops a method to 3D molecularly characterize cleared human brain tissues using light-sheet fluorescence microscopy.

The paper uses calcium imaging to study neocortical dynamics during reach-to-grasp tasks in mice, revealing distributed and localized neural activity patterns.

The paper develops an imaging pipeline to create a cell census of the human cerebral cortex using MRI, immunohistochemistry, and light-sheet fluorescence microscopy.

The paper presents a method combining immunostaining, SWITCH/TDE clearing, and confocal microscopy to map neurons in human cerebral cortex slices, addressing challenges in labeling and clearing.

This study identifies spatiotemporal propagation indicators from cortical activity in mice to track stroke-induced motor deficits and recovery across different rehabilitation paradigms.

This paper introduces a pipeline for 3D analysis of human brain cytoarchitecture at micrometer resolution, enabling quantitative evaluation of neuronal density and volume across different brain regions and subjects.

The paper introduces MAGIC, a label-free fluorescence method for 3D high-resolution reconstruction of myelinated fibers in large volumes, demonstrating its application on multiple species brain samples.

This study integrates experimental and computational models of motor control and recovery after stroke to improve experimental design through continuous data integration and simulation.

This study identifies that combined optogenetic stimulation and motor training restores pre-stroke motor-evoked cortical activity, distinguishing it as the most effective post-stroke rehabilitation therapy.

The paper evaluates red-shifted GECIs for in vivo imaging of cortical neuronal activity during motor tasks in mice, finding jRCaMP1a suitable for longitudinal monitoring.

This paper introduces a method to reconstruct whole-brain vasculature at the single capillary level using CLARITY, vascular staining, and light-sheet fluorescence microscopy.

This study demonstrates that Bessel beams improve the sensitivity and accuracy of functional imaging in light-sheet microscopy by reducing artifacts and enhancing detection of calcium transients and activity correlations.

This study shows rehabilitation promotes recovery of both structural and functional features of healthy neuronal networks after stroke in mice.