Advanced Neuroimaging Techniques and Applications

This paper quantifies uncertainty in MAP-MRI derived metrics using residual bootstrap methods, showing that resampling within each shell generates larger uncertainty than using all shells.

This paper introduces diffusion profile realignment to reduce variability in along-tract dMRI analysis by improving alignment across subjects, enhancing detection of regional changes.

The paper evaluates tractography reproducibility using empirical data from a single healthy volunteer scanned on two scanners, finding high consistency among top algorithms but variability due to tract volume containment.

This study shows that diffusion tractography-based parcellations of subcortical structures can be obtained without internal anisotropy, suggesting caution in interpreting such results.

The paper evaluates different diffusion MRI processing steps in UK Biobank data to suggest an optimised pipeline that improves reliability and reduces variability in diffusion metrics and their age associations.

This study evaluates 20 graph construction schemes for structural brain networks, finding that scheme choice significantly affects reproducibility and statistical power.

The paper shows that viewing pictures rapidly increases gray matter volume and cortical thickness in the visual cortex within 263 seconds.

The paper identifies a dissociation between microstructural and functional gradients in transmodal brain networks using histological and MRI data.

The paper uses MRI data to show that white matter microstructure predicts functional connectivity between brain regions, with genetic variants linked to this relationship.

The paper develops an automated 3D segmentation pipeline for axonal morphology analysis in rat white matter and finds reduced axonal diameter in chronic brain injury.

This study characterizes white matter development in early childhood, showing increases in fractional anisotropy and decreases in mean diffusivity, with sex differences and significant changes in occipital and limbic connections.

This study derives histologically-derived fiber response functions for diffusion MRI in squirrel monkey brains and shows they vary across brain regions and subjects, affecting FOD reconstruction and tractography.

The paper integrates diffusion MR tractography with gene expression data to show increased cortico-cortical projections in primates compared to mice.

The paper identifies a new white matter tract, the superoanterior fasciculus, using diffusion MRI tractography and validates it across multiple cohorts and techniques.

The paper examines the relationship between white matter connectome efficiency, intelligence, and educational attainment in children, finding that distributed network properties are more predictive than voxel-wise analyses.

This study uses diffusion tensor MRI and CLARITY to show structural brain changes in Nrxn2 knockout mice, revealing altered connectivity in socially relevant regions.

The paper segments and quantifies axonal dispersion and diameter in mouse brain corpus callosum using electron microscopy and a semi-automatic algorithm, showing orientation metrics are time-independent while diameter depends on MRI settings.

The paper analyzes diffusion MRI data from ADNI3 to assess how different protocols affect diffusion indices and their association with cognitive impairment and age.

This study compares diffusion-based tractography and invasive tracer data to assess the accuracy of topological properties in macaque cortical connectomes.

This study investigates superficial white matter microstructure in schizophrenia and bipolar disorder using diffusion weighted imaging, finding altered fractional anisotropy in specific brain regions.

This study applies biophysical models to diffusion MRI data from children to assess white matter properties and their relationship with reading skill.

The paper investigates the causal relationship between white and gray matter damage in aging brains, finding that white matter damage causes gray matter decline, not the reverse.

This paper shows that perivascular space fluid affects diffusion tensor imaging metrics in white matter, challenging previous interpretations of DTI findings.

This study uses diffusion MRI tractography to map individual variations of the human corticospinal tract and hand-related motor fibers, creating a database of their volume, length, and biophysical parameters.

This paper introduces a Finsler geometry-based method for analyzing brain structural connectivity, showing improved accuracy compared to previous geodesic methods using HCP and autism data.

This study compares diffusion MRI tractography with histological tract-tracing in ferrets to assess the reliability of tractography algorithms in mapping cortico-cortical connectivity.

This paper uses diffusion MRI to detect and quantify crossing fiber abnormalities in the optic chiasm of individuals with albinism, showing improved detection with optimized streamline filtering methods.

The paper investigates white matter microstructure correlates of second-order psychopathology factors using twin data, finding associations with general and specific factors.

The paper evaluates MCMC algorithms for diffusion MRI microstructure models, finding that Adaptive Metropolis-Within-Gibbs with MLE initialization provides fast and robust sampling.

This paper presents GPU-accelerated frameworks for diffusion MRI applications, achieving significant speedups in microstructure estimation and tractography.