Advanced Neuroimaging Techniques and Applications

The paper introduces CAT, a computational anatomy toolbox for structural MRI analysis, providing a comprehensive suite of tools for morphometric analyses with quality control and visualization features.

This paper evaluates the reliability and reproducibility of multidimensional diffusion-relaxation MRI (MD-MRI) in the human brain, showing it can reliably capture structural and chemical diversity within voxels.

This study links age-related decline in fornix fractional anisotropy to slower perceptual decision-making in older adults using a diffusion drift model and neuroimaging data.

This study links developmental changes in alpha rhythm to visual white matter maturation and visual detection performance using dMRI-EEG data.

The paper validates an MRI framework for detecting axonal damage in rats and humans, showing increased axonal caliber in both pathological and normal-appearing white matter in multiple sclerosis patients.

The paper characterizes lifespan changes in white matter microstructure, macrostructure, and associated cortical morphology using large datasets, finding unique developmental and aging trajectories across brain pathways.

This study uses diffusion MRI to analyze spatiotemporal patterns of cortical microstructural maturation in children and adolescents, finding heterogeneous development across functional domains.

This study identifies white matter fiber covariance networks in youth, showing their development aligns with executive function and hierarchical cortical maturation patterns.

This study maps microstructural abnormalities along white matter tracts in bipolar disorder using multisite diffusion MRI tractometry and identifies significant differences in fractional anisotropy between BD patients and controls.

This study uses diffusion imaging to examine microstructural brain changes during motor learning and sleep consolidation, finding rapid learning-related changes but no clear sleep-dependent consolidation effects.

The paper identifies thalamic commissures in primates, showing they connect cortex to contralateral thalamus and exist in both healthy and malformed human brains.

The paper investigates the association between obesity and two brain systems using MRI data from UK Biobank participants, finding distinct structural and genetic relationships.

This study identifies a medial-lateral thalamic axis of genetic and connectomic variation linked to cortical projections and neurodevelopmental disorders.

This study uses diffusion kurtosis MRI to show that anesthesia reduces mean diffusivity and kurtosis in both gray and white matter of mice, suggesting increased extracellular space volume.

The paper evaluates the effect of diffusion encoding directions on DTI scalar estimates in neonates using TBSS analysis and finds negligible differences with 24 or more directions.

This paper maps subcortical regions in marmoset monkeys using high-resolution MRI and histology, revealing previously invisible structures and providing a 3D atlas for brain research.

This paper uses diffusion MRI and computational methods to map macro- and microstructural features of the human hippocampus, revealing distinct subfield characteristics and potential fiber pathway orientations.

The paper reconstructs subcortical visual pathways in humans and finds that the LGN-MT pathway is more heavily myelinated, suggesting faster signal transmission.

This study shows that free-water volume fraction in white matter increases non-linearly with age, particularly after 60, with region-specific variations and reduced variability when using FW-compensated MR signals.

RELIEF removes inter-scanner biases in neuroimaging data by using multivariate factorization, improving data integration and statistical power.

This study uses a variational autoencoder to generate synthetic tractography-based bundle templates from a small dataset, showing improved shape capture compared to standard atlases.

This study uses diffusion MRI and BUAN to map microstructural differences in white matter tracts between bipolar disorder patients and controls, finding altered Fractional Anisotropy in specific pathways.

The paper introduces the BigMac dataset, combining multi-contrast MRI and microscopy data from a macaque brain, enabling multimodal analysis across scales and tissue states.

The paper examines how aging affects structural brain hubs using fiber bundle capacity, finding that hub connections are more vulnerable to age-related declines in processing speed.

This study uses b-tensor encoding and machine learning to classify histopathological damage in white matter, showing sensitivity to microstructural features.

This paper introduces HARSI, a new method for estimating fiber orientation distribution functions in fixed primate brains, showing it can capture complex fiber configurations comparable to HARDI.

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.