Advanced Neuroimaging Techniques and Applications

The paper quantifies microstructural changes in normal-appearing white matter near white matter hyperintensities in older adults, showing spatial gradients of damage linked to WMH burden.

This study uses high angular resolution diffusion MRI to compare developmental programs of cortical pathways in human and mouse brains, finding conserved and deviant patterns in radial glial and corpus callosum development.

This study evaluates DTI, NODDI, and MAPL in youth to assess their associations with age and motion, finding that multi-shell models offer advantages for neurodevelopmental studies despite motion sensitivity.

The paper validates per-bundle dMRI metrics in a fiber crossing region using histological data from axonally degenerated optic nerves in rats.

This study uses non-negative matrix factorisation to identify cortical regions co-varying with connectivity subnetworks in children and adolescents, finding age-related changes in cortical thickness and connectivity.

This paper proposes a joint model for diffusion MRI and microscopy data to improve microstructural analysis by combining complementary information from both modalities.

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.

This study uses MRI-measured g-ratio to predict conduction delays in the corpus callosum and finds age-related differences in motor fibers.

The paper introduces a system for reproducible tractography using diffusion MRI data through a cloud-based platform and containerized tools.

The paper examines the relationship between white matter microstructure and longitudinal depressive symptoms in mid-late life, finding significant associations across different measures of symptomatology.

This paper reduces the dimensionality of diffusion MRI measures to identify biologically interpretable components that capture age-related changes in white matter microstructure.

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 uses diffusion MRI to analyze microstructural and macrofunctional organization of the human and macaque insula, linking these features to cognitive control abilities.

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.

This paper introduces a method to quantify uncertainty in diffusion MRI models, showing it improves artifact detection and statistical power in group studies.

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

The paper examines developmental changes in amygdala connectivity to occipitotemporal cortex in humans, finding similar adult-like patterns in children and neonates with refinement over development.

The paper improves tractography by reducing false positives using anatomical priors and group-sparsity regularization in a convex optimization framework.

This study evaluates 3-tissue constrained spherical deconvolution pipelines for within-tumor tractography, finding that single-shell 3-tissue CSD enables tractography in infiltrating gliomas without increasing dMRI acquisition requirements.

This study uses diffusion MRI to analyze microstructural heterogeneity in white matter lesions of Alzheimer’s disease patients, revealing differences in tissue composition between lesion types and their proximity to ventricles.

This study assesses the reproducibility of manual segmentation of the pyramidal tract in diffusion MRI tractography across experts and non-experts, finding voxel-wise measures more reproducible than streamline-wise ones.

This study combines myelin water imaging and diffusion tensor tractography to show that myelination continues beyond late childhood in most major white matter tracts.

The paper shows that ventral white matter pathways have longer Euclidean distances than dorsal pathways between parietal and inferior frontal cortex, suggesting Euclidean distance could be a simple measure for distinguishing these pathways in fMRI studies.

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.