Advanced Neuroimaging Techniques and Applications

This paper develops a Kinetic Tensor model to correct T2 inhomogeneity in post-mortem brain imaging by accounting for fixative outflux, showing improved alignment with histological markers.

This study examines age and sex effects on white matter microstructure in 15,628 older adults using dMRI models, finding that advanced models like TDF and NODDI detect these effects most sensitively.

The paper shows that maturation of optic radiations in childhood influences the speed and amplitude of visual cortex responses to high contrast stimuli.

This study evaluates parcellation pipelines for identifying the ventral intermediate nucleus (Vim) using tractography, finding that higher-order modeling and threshold-based classification yield the most reliable results despite inter-subject variability.

This study shows that RDI accurately maps axonal density in adults and children compared to other diffusion imaging methods.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

The paper models laminar connectivity in the macaque brain using MRI data and validates it against historical findings with 83% accuracy.

The paper introduces SANDI, a diffusion MRI method for characterizing cellular and neurite densities in mouse brains, showing strong correlation with the Allen brain atlas.

This study improves susceptibility distortion correction in diffusion MRI data using a new pipeline, enhancing g-ratio mapping accuracy.

This study evaluates how scanner, vendor, resolution, diffusion scheme, and segmentation workflow variations affect diffusion tractography bundle segmentation results.

The paper examines changes in white matter properties during reading instruction using diffusion MRI and T1 relaxation measurements, finding that diffusion changes may not reflect myelin density changes.

This study examines regional changes in white matter volume and microstructure in young adults using MRI data from 1,713 university students, revealing age-related variations in microstructural properties.

This paper introduces a structured low-rank matrix modeling method to correct ghosting in ex vivo dMRI, improving accuracy and reliability of diffusion metrics.

The paper introduces the MRi-Share database, a multi-modal brain MRI dataset of 1,870 young adults, and presents preliminary findings on age and sex associations with brain phenotypes.

This paper implements Diffusional Kurtosis Imaging (DKI) in the DIPY project, demonstrating its utility for microstructural analysis and tractography in brain imaging.

This paper introduces DIPPI, a new MRI technique that estimates the g-ratio per fibre population in crossing voxels, improving myelin quantification in complex white matter regions.

The paper compares methods for computing orientationally-averaged diffusion-weighted MRI signals, finding that MAP-MRI provides better accuracy under low SNR and sparse sampling.

DACO corrects diffusion MRI artefacts using a registration-based framework that integrates multiple distortion types, improving accuracy with clinical MRI data.

This paper develops an age-specific probabilistic white matter atlas for children aged 6-8 years, showing improved accuracy in diffusion metrics compared to adult templates and revealing FA reductions in treated children.

The paper introduces a method to estimate functional transmission delays in the brain using in vivo measurements and structural connectome data, showing that larger bundles have faster velocities and delays are greater in multiple sclerosis patients.

This paper introduces a sparse group lasso method to analyze diffusion MRI data, identifying informative white matter features for ALS classification and brain age prediction.

This study uses multivariate GWAS on diffusion imaging data from two large datasets to identify 503 genetic loci affecting brain tissue composition and uncover molecular pathways related to axonal growth, synaptogenesis, and neuroinflammation.

This study identifies common genetic variants influencing white matter microstructure using dMRI data from 42,919 individuals, revealing genetic links to neuropsychiatric disorders and other traits.

This paper develops a multi-channel 4D atlas of neonatal brain development combining structural and diffusion MRI data, showing microstructural differences between term and preterm infants.

This study investigates how inaccuracies in response function calibration affect fiber orientation distribution (FOD) characteristics and fiber tracking in diffusion MRI.

This study uses diffusion MRI to analyze white matter changes in early Parkinson's disease, finding asymmetrical integrity alterations linked to symptom onset side.

The paper images a single postmortem mouse brain across five orders of spatial resolution using multiple imaging modalities to study multi-scale brain organization and pathologies.

The paper uses RSI to analyze diffusion patterns in subcortical regions of children aged 9-13, finding age-related changes in restricted diffusion metrics across different brain areas.

The paper finds reduced frontal white matter microstructure in older adults with poor tactile recognition performance, linking it to cognitive impairments.