Advanced Neuroimaging Techniques and Applications

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

The paper uses a supercomputing simulation of fractional Brownian motion to predict serotonergic axon distribution in a 3D mouse brain model, showing qualitative similarity to actual densities.

The paper combines scattered light and X-ray imaging with diffusion MRI to accurately map neuronal orientations and validate fiber crossings in human and vervet monkey brains.

This paper introduces a distance-dependent thresholding method for probabilistic tractography to address systematic thresholding across different track lengths and studies.

This work evaluates how white matter registration methods affect tractogram alignment using homologous fiber structures as a benchmark.

The paper evaluates the reliability and variability of diffusion- and myelin-based MRI measurements across multiple sessions and fiber populations, finding moderate to high reliability for diffusion measures and bundle-dependent variability.

The paper introduces RTP2, a reproducible and automated method for white-matter tractography and tractometry using diffusion MRI data.

CATO reconstructs structural and functional brain connectivity from MRI data using diffusion weighted imaging and resting-state fMRI, offering customizable analysis pipelines and open-source tools.

This study uses diffusion MRI to track thalamocortical pathway maturation in human fetal brains, identifying key neurobiological changes in the second to third trimester.

The paper investigates the relationship between white matter microstructure and visual working memory precision using diffusion MRI and mixture distribution modeling.

The paper uses tract-based spatial statistics to examine sex differences, lateralization, and age-related white matter development in infants and 5-year-olds using diffusion tensor imaging.

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 study examines age-related changes in white matter properties of optic radiations carrying foveal, macular, and peripheral visual field information using diffusion MRI data from the UK Biobank.

The paper examines age-related trajectories of MRI cortical markers and finds high spatial overlap but divergent age trends, suggesting different microstructural origins for these markers.

This paper uses a ConvVAE to reduce the dimensionality of white matter tractography data, identifies 6 tracts with significant differences between Alzheimer's patients and controls, and preserves distances in a 6-dimensional space.

The paper identifies 355 genomic loci associated with white matter connectivity in the human brain, linking them to neurodevelopmental processes and polygenic risk for brain disorders.

This study investigates the role of the fornix in sequence memory by correlating its microstructure with memory performance in healthy adults.

This study uses high-resolution MRI to show that thin and thick stripes in human V2 have lower myelination compared to surrounding gray matter.

The paper maps the structural connectivity of five brainstem nuclei to limbic cortical regions using MRI and tractography, creating a freely available atlas for future research.

The paper measures magnetization-transfer (MT) and relaxometry parameters in fixed marmoset brain tissue and compares them with histology to assess their correlation with myelin and iron content.

This paper introduces a method to identify the midline thalamus in humans using diffusion imaging and clustering, showing reliable classification of midline thalamic clusters in two datasets.

The paper identifies white matter regions consistently associated with general intelligence across four independent samples using tract-based spatial statistics.

The paper analyzes longitudinal MRI data from 1,293 subjects to study age-related changes in superficial white matter microstructure and U-fiber volume and length.

BundleCleaner denoises and subsamples diffusion MRI tractography data, improving alignment with atlas bundles and enabling efficient tractometry analysis in Alzheimer's disease studies.

ReTrace evaluates tractography algorithms using Reeb graphs, showing no single algorithm consistently outperforms others and deterministic methods better capture fiber bundle properties.

This paper investigates how histological features like cell density and structure anisotropy explain variations in diffusion MRI metrics MD and FAIP in meningioma tumors, finding that cell density explains variability across but not within tumors.

The paper characterizes weighted structural brain networks using white matter microstructural features to improve structure-function models.

This study evaluates how different diffusion MRI processing pipelines affect the identification of connectome hubs in humans, finding significant variability in hub location and connectivity based on processing choices.

The paper investigates the relationship between fiber-specific white matter microstructure and reading skills in children and adolescents, finding a positive association between FDC and reading proficiency.

This paper develops a method to non-invasively identify LGN subdivisions in living humans using MRI and validates it against histological and functional data.