Marco Palombo

The paper links cerebral oxygen metabolism to gray matter microstructural features in humans using non-invasive MRI methods, finding positive associations between oxygen consumption and soma surface area density.

This study links brain microstructure to neural dynamics by showing that white and grey matter properties significantly correlate with propagation delays measured via MEG.

This paper introduces a method to quantify how brain structure constrains higher-order functional interactions and shows its relevance in Alzheimer's disease.

This paper enhances MEG spatial resolution using BOLD-fMRI and explainable machine learning, achieving high predictive performance and detailed upsampled maps.

The paper uses sulcal pits to analyze cortical folding patterns across 90 mammalian species, revealing evolutionary trajectories linked to ecology and behavior, and identifying human-specific cortical regions.

This paper introduces multiparametric diffusion MR spectroscopy to estimate cell-type-specific morphology in the human brain by combining diffusion-time-dependent encoding with double-diffusion-encoded spectroscopy.

This study uses diffusion-weighted MRS to track cell-specific developmental trajectories in the cerebellum and thalamus of rat neonates, revealing age-related changes in metabolite diffusion properties.

This study uses diffusion MRI and a new model to identify distinct cellular processes underlying motor skill learning in the human brain.

VASAL generates realistic microvascular network phantoms and simulates dMRI signals, showing compatibility with IVIM model assumptions and vascular structure effects on diffusion.

The paper uses MRI to show age-related changes in cortical microstructure that align with oligodendrocyte gene expression during development.

This study tracks white matter microstructural changes after soccer headers using MRI, finding correlations between impact magnitude and microstructural alterations.

This study examines age-related changes in diffusion properties of brain metabolites in cerebral and cerebellar grey matter using diffusion-weighted MR spectroscopy, finding non-significant trends in diffusivity and kurtosis with age.

This study develops a diffusion MRI protocol to simultaneously characterize brain and spinal cord microstructure using DTI, SMI, and SANDI, showing high image quality and reproducibility with some challenges in the spinal cord.

This study investigates age-related changes in hippocampal microstructure using diffusion MRI in children and adolescents, finding significant developmental changes in neurites, soma, and mean diffusivity.

This paper introduces a clinical diffusion MRI protocol to enable SANDI modeling in 10 minutes, demonstrating its feasibility and potential impact on multiple sclerosis patients.

This study uses deep neural networks to accelerate parameter estimation in a high-dimensional diffusion-relaxation MRI model but finds that machine learning cannot replace careful acquisition protocol design.

This paper shows that training data distribution affects the accuracy and precision of microstructural parameter estimates using supervised machine learning in quantitative MRI.

The paper introduces SANDI, a diffusion MRI method for characterizing cellular and neurite densities in mouse brains, showing strong correlation with the Allen brain atlas.

This study uses longitudinal MRI in a mouse model to show early white matter defects in Huntington's Disease, highlighting their role in pathogenesis and identifying potential biomarkers.

This paper identifies challenges in estimating spherical pore size in the human brain using diffusion MRI, highlighting noise biases, signal fraction limits, and sensitivity to cylindrical structures.

This study compares two deep learning strategies for qMRI signal model fitting, finding that strategy 2 is more practical but may yield less accurate parameter estimation.

This study assesses the repeatability of soma and neurite metrics in grey matter using diffusion MRI across five scans of six healthy adults, finding high reliability in key measures.

This study uses diffusion-weighted magnetic resonance spectroscopy to detect astrocyte reactivity in mice by analyzing changes in myo-inositol diffusion linked to morphological alterations.