Advanced Neuroimaging Techniques and Applications

This study examines age-related changes in white matter tracts using morphometry and microstructural metrics to identify sex-specific degeneration patterns and propose a unified model of WM aging.

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 develops a real-time tractography-assisted TMS neuronavigation system and demonstrates its feasibility through comparison with offline tractography results.

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 finds that myelin growth slows after birth, particularly in preterm infants, and links this delay to long-term developmental consequences.

This study evaluates deep learning improvements for brain-age modeling using diffusion MRI data in children and adolescents, finding small but notable gains with recurrent neural networks.

This study uses diffusion MRI and relaxometry to identify microstructural changes in white matter of CADASIL mice, finding increased extracellular free water and reduced myelin content.

This study evaluates six compressed sensing diffusion spectrum imaging (CS-DSI) schemes, finding they provide accurate and reliable white matter structure measures with up to 80% reduced scan time compared to full DSI.

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 examines aging effects on cortical thickness and myelin concentration using MRI data from a large cohort, finding complex regional patterns and MTR as a more reliable myelin proxy.

This study uses diffusion MRI and a CNN to show glaucoma has a unique non-linear effect on optic radiation tissue properties, unlike linear effects on other brain connections.

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 quantifies topographic and divergence/convergence connectivity in human cerebral cortex using dMRI data, revealing spatial organization related to cytoarchitecture and functional efficiency.

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 estimates axonal morphology from individual interhemispheric transfer time (IHTT) measurements obtained from single-subject EEG data, showing consistency with histological values but needing improved repeatability.

This paper introduces a unified filtering method for estimating asymmetric ODFs in dMRI, showing it can detect complex asymmetric fiber configurations in brain data.

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