Advanced Neuroimaging Techniques and Applications

This paper introduces a new structural connectivity measure that better correlates with functional connectivity and improves Alzheimer's disease staging compared to streamline tractography.

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.

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.

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.

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.

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.

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.

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 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.

AFQ-Browser provides a browser-based tool for visualizing diffusion MRI data to enhance reproducibility and data sharing in human neuroscience research.

This study finds that myelin content in specific white matter tracts predicts processing speed in healthy adults, with age-related differences observed across tracts.

This paper reviews diffusion MRI methods for studying white matter development in childhood and adolescence, highlighting challenges and recent progress in understanding brain maturation.

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.

The paper examines the relationship between preschool-aged children's language skills and brain white matter structure, finding structural markers for language difficulties as early as 3 years of age.

The paper uses diffusion MRI to analyze white matter architecture and shows it can predict social, health, and cognitive attributes across individuals.

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

The paper introduces a Bayesian non-central chi regression model for fMRI and DWI data, showing improved accuracy in localizing brain activity and estimating diffusion metrics compared to Gaussian models.

This paper introduces a framework to encode brain connectomes and diffusion data into multidimensional arrays, enabling efficient storage and analysis of connectome data.