Advanced Neuroimaging Techniques and Applications

The paper constructs a population-based atlas of the human pyramidal tract using diffusion MRI and a new tractography algorithm, showing improved resolution of cortico-lateral projections.

The paper links microstructural variability in white matter tracts to reaction time variability using cognitive and diffusion MRI models.

This study examines how trait mindfulness changes with age and its association with white matter microstructure in older adults using diffusion tensor imaging.

This study maps axon morphometry in the human spinal cord using a deep learning framework, revealing structural differences and symmetry, and provides a public template for MRI studies.

This study examines the associations between cardiovascular risk factors and white matter structure in aging, finding that systolic blood pressure, diastolic blood pressure, and heart rate independently impact white matter health.

This study evaluates modern diffusion tractography methods using a standardized challenge, finding no significant improvement in anatomical accuracy despite methodological advances.

This paper introduces a novel diffusion tensor imaging (DTI) method to accurately delineate the rat basolateral amygdala (BLA) and validates it against histological techniques.

The paper examines age-related changes in gray/white matter contrast and links them to psychopathology and cognitive ability in youth using MRI data.

The paper shows that physical activity preserves frontal white matter integrity and reduces age-related slowing in a population-based sample.

The paper tests the UCT theory by showing that cerebellar functional specialization is independent of microstructural variation, unlike the cerebral cortex.

This paper introduces a bundle-specific tractography algorithm to improve fornix reconstruction in MRI, enabling combined tractometry with dual-tracer PET in MCI patients.

This paper introduces TIP, a method to remove false connections in diffusion MRI tractography, improving accuracy by 11.93% in single-shell schemes and 3.47% in grid schemes.

The paper evaluates graph thresholding and streamline filtering methods for structural connectome construction in Huntington's disease, finding that SIFT2 filtering improves group difference detection and clinical correlations.

This paper presents a diffusion MRI harmonization method that removes scanner-specific effects across sites while preserving inter-subject variability, validated on two clinical cohorts.

This study quantifies structure-function coupling between white matter connections and iEEG in epilepsy patients, finding increased coupling during seizures and its dependence on short-range structural connections.

The paper creates a population-averaged atlas of the human structural connectome using diffusion MRI data, revealing network topology features like small-worldness and hub structures.

This study uses longitudinal fixel-based analysis to show increased white matter fibre density and cross-section in specific brain regions over 16 months, with no significant effect of pubertal stage.

This study uses joint histogram analysis of diffusion tensor imaging to identify tumor infiltration patterns in glioblastoma and their prognostic significance.

The paper examines the association between brain peak width of skeletonised mean diffusivity (PSMD) and cognitive domains, finding it correlates with processing speed but not more strongly than other brain imaging measures or cognitive domains.

This study uses a multi-compartment T2 relaxometry model to analyze changes in water fractions in MS lesions over three years, finding significant differences between gadolinium-enhanced and non-enhanced regions.

This study examines how age-related macular degeneration affects visual acuity and white matter in the optic radiation, showing a correlation between retinal damage and white matter properties.

The paper examines how interhemispheric white matter, age, and dedifferentiation in frontal lobes relate to executive functioning using neuroimaging data from middle-aged adults.

This study uses tractography to delineate the anatomy and connectivity of the human inferior longitudinal fasciculus, finding three sub-fascicles and leftward lateralization.

The paper tracks anatomical changes in white matter during reading instruction and finds that some tracts predict reading skill while others change with experience.

This paper introduces a framework for comparing primate brains using white matter blueprints to identify homologous regions and quantify evolutionary specializations.

This study examines sex differences in white matter abnormalities in abstinent alcoholics using diffusion tensor imaging.

The paper identifies two brain types based on white-matter microstructure in children and adolescents, showing distinct cognitive abilities and structural connectivity differences.

The paper examines age, sex, and puberty effects on corpus callosum development using diffusion MRI metrics across multiple regions.

FiberNet 2.0 uses convolutional neural networks to cluster white matter fibers into anatomically meaningful bundles, showing improved accuracy and reduced false positives.

This study uses voxel-wise T2 relaxometry to analyze brain development in healthy infants and toddlers, providing maps of T2 evolution and comparing them to manual estimates.