Peter J. Basser

This paper demonstrates whole-brain multidimensional T1-T2 relaxation imaging on a portable 0.064 T MRI scanner, showing that joint distributions provide additional information beyond single-value relaxation maps.

The paper validates diffusion and exchange imaging biomarkers using real-time NMR and optical microscopy in ex vivo neural tissue during perturbations.

This paper introduces a novel diffusion tensor distribution (DTD) MRI method to measure mesoscopic brain tissue structure in vivo, revealing new microstructural features not previously observed.

The paper reveals nonuniform scaling of cerebellar cortical-nuclear architecture across primates using cross-species atlases, showing cortical expansion outpaces DCN enlargement.

This paper introduces a tamperless MRI method to measure brain tissue stiffness using cardiac pulsations and diffusion tensor imaging, revealing softness in gray matter and white matter pathways.

This study compares the effectiveness of using raw MD-MRI signals versus reconstructed spectra for statistical regression in biomarker identification, concluding that signals are more effective without prior information.

This study uses DEXSY NMR to show that steady-state water exchange in neural tissue is primarily passive through the phospholipid bilayer, not via ion-dependent channels.

This paper introduces DEXR, a minimal sampling method for diffusion exchange spectroscopy to efficiently quantify exchange, restriction, and time-dependent diffusion using MR data.

This study validates the Gaussian diffusion model at the mesoscopic scale in live human brain tissue using diffusion tensor distribution MRI.

The paper creates a 3D subcortical atlas of the marmoset brain using MRI and histology, validated across age groups, for neuroanatomical and functional research.

This paper uses high-resolution diffusion MRI to directly cluster cortical voxels and segment cytoarchitectonic domains without relying on templates, achieving better alignment with histology than conventional methods.

This paper maps subcortical regions in marmoset monkeys using high-resolution MRI and histology, revealing previously invisible structures and providing a 3D atlas for brain research.

The paper proposes a mathematical model of oligodendrocyte-mediated myelin plasticity that enables synchronization of neural signals through adaptive conduction delays.

This paper introduces a new framework for in-vivo diffusion tensor distribution MRI of the human brain, enabling detailed microstructural analysis and improved tractography.

The paper introduces a novel NMR method to measure active water exchange rates in neural tissue, showing it reflects homeostasis and metabolic activity rather than just microstructure.

This paper develops a machine learning framework to map astrogliosis in individual brains using multidimensional MRI, showing strong correlation with histological findings.

The paper maps subcortical regions in macaque brains using MAP-MRI and histology, creating a digital atlas for neuroanatomical studies.

This paper evaluates a filter to reduce scan time in multidimensional MRI by improving noise reduction and accuracy of injury biomarker maps.

This paper introduces a new framework to measure intravoxel diffusion heterogeneity and anisotropy using a constrained normal tensor-variate distribution and Monte Carlo simulations.

This paper introduces a 2D diffusion MRI framework to specifically assess axonal injury and spinal cord microenvironments, showing strong correlation with histological findings.

This paper introduces a framework for spatial normalization and voxelwise analysis of diffusion propagators across multiple MAP-MRI datasets, enabling detection of subtle microstructural changes.