Advanced Neuroimaging Techniques and Applications

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

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 study uses diffusion MRI to detect neuroinflammation in vivo in rats after a lipopolysaccharide challenge, showing diffusivity changes correlate with microglial morphology.

This study investigates age-related changes in brain metabolites and microstructure that contribute to slower response times in older adults.

The paper clusters cortical microstructural datasets using an algorithm adapted from cell omics profiling, validating T1 relaxometry as a tool for exploring cortical laminar composition.

The paper identifies anatomical pathways between the ACC, insula, and vlPFC in humans using NHP data to address dMRI limitations.

This paper evaluates the reproducibility of multi-compartment relaxometry for myelin water imaging across different protocols and optimizes acquisition settings to reduce scan time.

This paper introduces a method to model combined relaxation diffusion MRI data by characterizing b-value dependent T2 relaxation rates to improve neurite microstructure characterization.

This study examines how adiposity relates to white matter microstructural health and intelligence, finding sex differences in these associations.

This study maps human auditory corticostriatal connections using high-resolution diffusion MRI, finding preferential connectivity between primary auditory cortex and putamen, but not caudate.

This study quantifies superficial white matter volume and thickness across the lifespan using large datasets, finding unique age-related changes and relationships with cortical features.

This study examines structural brain changes and connectivity differences in AMD patients compared to controls using MRI diffusion data over two years.

This paper develops a deep learning method for individualized thalamic parcellation using diffusion MRI, combining group atlas guidance with single-subject data to improve accuracy and reproducibility.

ModelArray is an R package for efficient statistical analysis of fixel data, supporting linear and nonlinear models with reduced memory usage.

This paper develops a new human cortical parcellation atlas based on primate anatomical tracing studies and validates it using diffusion tractography to identify corticostriatal subcircuits.

The paper introduces the Brain/MINDS Marmoset Connectivity Atlas, providing a resource for exploring neuronal tracer data and tractography in a common stereotaxic space.

This paper introduces a surface-based probabilistic tractography method for reconstructing U-fibers in the superficial white matter, showing improved accuracy compared to volume-based and other surface-based methods.

This paper develops a tissue-unbiased FOD brain template using multimodal registration to improve white matter analysis and tractography alignment with grey matter structures.

The paper improves axonal volume fraction estimation in diffusion MRI by introducing linear calibration parameters, validated using ex-vivo mouse data and electron microscopy.

This paper introduces hypervoxels to improve neuroimaging analysis by integrating spatial and anatomical information from diffusion MRI data, enhancing detection of white matter effects in ALS.

This paper introduces a clinical diffusion MRI protocol to enable SANDI modeling in 10 minutes, demonstrating its feasibility and potential impact on multiple sclerosis patients.

This study uses longitudinal diffusion MRI to examine microstructural changes in brain tracts of college football and volleyball players, finding divergent developmental patterns between the groups.

This study compares AMURA and DTI diffusion measures in migraine patients and controls, finding AMURA detects more regions and shows better discriminative power despite lower stability.

This paper introduces a method to estimate the orientation-independent R2* (R2,iso*) from multi-echo MRI data, showing it works best with long echo times but fails with typical in-vivo protocols.

This study uses diffusion-weighted imaging to identify structural connectivity gradients and subdivisions in the macaque insular cortex, revealing a rostrocaudal organization and significant correlations with T1w/T2w and cortical thickness maps.