Advanced Neuroimaging Techniques and Applications

This paper maps human cerebral cortex microstructure using diffusion MRI, identifying 21 metrics linked to cytoarchitecture, function, and cognition, and showing their heritability and predictive power for age and cognition.

This study examines the relationship between perfusion and white matter microstructure in aging, finding that arterial transit time declines before microstructural changes and varies by tract and sex.

TRAMFIX evaluates the reproducibility of fixel-based analysis across multiple MRI scanners and finds high reliability for whole-brain and tract-level metrics, with some variability at the fixel level.

The paper generates whole-brain connectivity by predicting detailed axonal morphologies from sparse data, enabling in silico experimentation of large brain regions.

The paper examines how white matter micro- and macrostructural properties relate to recognition memory speed across young to middle adulthood using fixel-based analysis and fornix tractography.

The paper investigates whether white matter aging follows developmental order (retrogenesis) or physiological factors like fibre size and perfusion, finding mixed support for both theories.

The paper identifies structural and functional white matter changes in R221W mutation carriers, suggesting motor under-reactivity rather than sensory insensitivity in congenital insensitivity to pain.

This paper integrates DW-SSFP diffusion MRI with neural posterior estimation to improve parameter estimation in post-mortem tissue.

This study shows that gray and white matter myelination are synchronized in early infancy, with synchrony linked to gestational age and motor outcomes.

This paper introduces a deep learning framework to analyze fractional anisotropy images, identifying genetic variants associated with white matter microstructure and linking them to neurological disorders.

This paper demonstrates the feasibility of cardiac diffusion kurtosis imaging (DKI) in humans using high gradient strength MRI, showing non-Gaussian water diffusion behavior and significant radial kurtosis differences.

This study uses diffusion MRI techniques to detect region-specific fiber damage in spinal cord injury, finding that fractional anisotropy and axonal volume fraction are most effective biomarkers.

Radial diffusivity asymmetry driving DTI-ALPS indices pervades white matter, persists at high b-values, and tracks crossing fibers, axonal undulation and dispersion rather than perivascular diffusion.

The paper investigates how polygenic scores for intelligence relate to general intelligence through white matter microstructural properties, finding that neurite density mediates this relationship.

This paper introduces a groupwise registration framework for longitudinal infant DTI images, improving alignment accuracy through clustering and sample-specific common space alignment.

The paper introduces an anisotropic-isotropic kurtosis mismatch framework using tensor-valued diffusion MRI to characterize stroke lesions in a rat model, finding significant mismatches in key metrics that correlate with pathological findings.

This study uses diffusion imaging and tractography to analyze structural connectivity changes in a rat model of Parkinson's Disease, identifying lesion-specific and compensatory neural networks.

This paper develops a harmonization framework for structural connectomes to reduce site-related biases, showing that gamma-GLM improves generalizability and statistical power in multi-site analyses.

This paper introduces a distribution-matching method to harmonize structural brain connectivity across sites and scanners, showing competitive performance compared to existing methods.

This study uses DBSI to find increased neuroinflammation and decreased axonal density in schizophrenia compared to controls and bipolar disorder.

The paper introduces an unbiased whole-brain analysis method to quantify injury burden after traumatic brain injury, showing it is statistically robust and captures longitudinal changes without preselected ROIs.

This study introduces a novel tractography method to reconstruct and analyze caudolenticular gray matter bridges in the human brain using diffusion MRI, demonstrating their microstructural properties.

The paper examines age-related changes in gray and white matter structural properties using a longitudinal design and histology-informed parcellation, finding coupled aging gradients in specific brain regions.

This study introduces isotropic ADC-fMRI to detect grey and white matter activity, showing it is more temporally specific than BOLD-fMRI and provides balanced mapping of both brain regions.

MegaTrack provides a framework for efficient and anatomically accurate analysis of large-scale tractography datasets, enabling rapid dissection and metric extraction with high reproducibility and reduced processing time.

This study compares the orientation of white matter nerve fibers and vasculature in the human brain using diffusion MRI and susceptibility weighted imaging, finding that vasculature aligns with some but not all white matter tracts.

This study maps cortical connectivity shifts in neonates using diffusion MRI, identifying age-dependent changes and their implications for brain development and disorders.

This paper introduces RISH-GLM, a method to harmonize diffusion MRI data across sites without requiring matched training subjects, showing effectiveness with unmatched groups and multiple sites.

This study shows that higher diffusion-weighting strengths (b-values) improve connectome reconstruction accuracy by reducing fiber orientation uncertainty, but SNR loss limits benefits beyond b=6000 s/mm2.

The paper develops a computational framework to study superficial white matter organization using 3D histology and 7T MRI, finding high structural complexity in the first 2 mm below the cortical boundary and correlations with cortical geometry and connectivity.