Advanced Neuroimaging Techniques and Applications

The paper evaluates axon density metrics for brain asymmetry in UK Biobank data, finding that intra-axonal water fraction from spherical mean technique is the most statistically representative measure.

This study examines the heritability of mouse brain connectomes using high-resolution MRI and finds high heritability in brain volumes and diffusion metrics.

The paper proposes a method to correct over-estimation of white matter bundle connectivity in diffusion MRI when axons are truncated due to pathology.

TractEM provides manual labeling protocols for white matter tractography to improve reproducibility and accuracy in brain connectivity studies.

The paper introduces a novel coordinate system for the human cortex based on connectivity, validated across multiple datasets and showing alignment with functional and structural features.

The paper uses a virtual lesion approach to simulate the disconnectome caused by progressive ischemic periventricular white matter lesions and validates it using DTI and fMRI data from elderly subjects.

This study evaluates DWI-derived scalar images for T1-DWI co-registration, finding that anisotropic power (AP) images provide the most consistent and reliable registration across modalities.

The paper develops a tool to automatically identify human brain pathways and assess their reproducibility using clustering and evaluation metrics across two datasets.

This paper introduces a method to reduce the data needed for Propagator Anisotropy calculation in diffusion MRI while maintaining comparable microstructural discrimination.

This study finds a positive correlation between arcuate fasciculus tract length and severity of auditory hallucinations in schizophrenia patients using DTI tractography.

The paper develops a measure of whole-brain white matter topography using diffusion MRI data and finds it correlates with tractogram streamlines.

This study creates a detailed 3D map of the human brainstem using high-resolution MRI and validates it against histological atlases.

This study shows that using ordinary linear least squares (OLLS) in diffusion tensor imaging (DTI) group analyses can inflate effect sizes and increase false positives compared to iterative weighted linear least squares (IWLLS).

The paper examines how structural brain network topologies relate to cognitive performance in a value-based decision-making task using diffusion MRI and graph theory measures.

This study evaluates DTI, NODDI, and MAPL in youth to assess their associations with age and motion, finding that multi-shell models offer advantages for neurodevelopmental studies despite motion sensitivity.

This paper introduces a framework for spatial normalization and voxelwise analysis of diffusion propagators across multiple MAP-MRI datasets, enabling detection of subtle microstructural changes.

The paper introduces a system for reproducible tractography using diffusion MRI data through a cloud-based platform and containerized tools.

The paper uses diffusion MRI to analyze microstructural and macrofunctional organization of the human and macaque insula, linking these features to cognitive control abilities.

This paper introduces a method to quantify uncertainty in diffusion MRI models, showing it improves artifact detection and statistical power in group studies.

The paper examines developmental changes in amygdala connectivity to occipitotemporal cortex in humans, finding similar adult-like patterns in children and neonates with refinement over development.

The paper improves tractography by reducing false positives using anatomical priors and group-sparsity regularization in a convex optimization framework.

This study evaluates 3-tissue constrained spherical deconvolution pipelines for within-tumor tractography, finding that single-shell 3-tissue CSD enables tractography in infiltrating gliomas without increasing dMRI acquisition requirements.

This study uses diffusion MRI to analyze microstructural heterogeneity in white matter lesions of Alzheimer’s disease patients, revealing differences in tissue composition between lesion types and their proximity to ventricles.

This study assesses the reproducibility of manual segmentation of the pyramidal tract in diffusion MRI tractography across experts and non-experts, finding voxel-wise measures more reproducible than streamline-wise ones.

This study combines myelin water imaging and diffusion tensor tractography to show that myelination continues beyond late childhood in most major white matter tracts.

The paper shows that ventral white matter pathways have longer Euclidean distances than dorsal pathways between parietal and inferior frontal cortex, suggesting Euclidean distance could be a simple measure for distinguishing these pathways in fMRI studies.

The paper uses dMRI to study how Aβ and IL6 affect microstructure in TgCRND8 mice, finding increased neurite density and dispersion linked to reduced functional network organization.

This study compares tractography algorithms in MS patients to assess their ability to segment white matter tracts despite lesions, showing that individual tract segmentation is feasible and reliable.