Advanced Neuroimaging Techniques and Applications

Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration

DDMReg improves diffusion MRI registration by using whole-brain and tract-specific information, showing better performance across diverse datasets.

Prevalence of white matter pathways coming into a single diffusion MRI voxel orientation: the bottleneck issue in tractography

This study quantifies the prevalence of bottleneck regions in white matter where multiple fiber populations share the same orientation, showing over 50-70% of fixels are affected, leading to potential errors in tractography.

Mapping the human corticoreticular pathway with multimodal delineation of the gigantocellular reticular nucleus and high-resolution diffusion tractography

This paper maps the human corticoreticular pathway (CRP) using diffusion tractography and identifies its cortical origins, trajectory, and bilateral projections to the brainstem.

Incorporating outlier information into diffusion MR tractogram filtering for robust structural brain connectivity and microstructural analyses

This paper introduces a robust tractogram filtering method that accounts for motion artefacts in diffusion MRI, validated with simulations and infant data, showing improved structural connectivity and microstructural analyses.

Graded variation in cortical T1w/T2w myelination during adolescence

The paper uses high-resolution myelin mapping to show graded variation in cortical myelination rates along the sensorimotor-association axis during adolescence.

Microstructural development from 9-14 years: evidence from the ABCD Study

The paper uses restriction spectrum imaging to analyze age-related microstructural changes in brain diffusion across 9-14 year olds from the ABCD Study, finding increased restricted diffusion in subcortical regions with age.

Mutation-related apparent myelin, not axon density, drives white matter differences in premanifest Huntington's disease: Evidence from in vivo ultra-strong gradient MRI

This study uses ultra-strong gradient MRI to show that myelin changes, not axon density, are linked to premanifest Huntington's disease, with mutation size correlating with myelin levels.

Not all voxels are created equal: reducing estimation bias in regional NODDI metrics using tissue-weighted means

This paper introduces a tissue-weighted mean method to reduce bias in NODDI metrics by accounting for CSF partial volume, showing it improves accuracy in ROI analysis for neurodegenerative disease studies.

Microstructural variation in the human striatum using non-negative matrix factorization

This study uses non-negative matrix factorization to identify 5 spatially distinct striatal components in the human striatum, showing increased stability with multimodal data and associations with age and sex.

High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology

The paper maps subcortical regions in macaque brains using MAP-MRI and histology, creating a digital atlas for neuroanatomical studies.

mrHARDIflow : A pipeline tailored for the preprocessing and analysis of Multi-Resolution High Angular diffusion MRI and its application to a variability study of the PRIME-DE database

The paper introduces mrHARDIflow, a pipeline for preprocessing and analyzing multi-resolution diffusion MRI data, and applies it to study variability in the PRIME-DE database.

Evaluating the reliability of human brain white matter tractometry

This study evaluates the reliability of dMRI-based tractometry by assessing reproducibility, test-retest reliability, and robustness using software and datasets from the Human Connectome Project and clinical-grade measurements.

Structural connectivity-based segmentation of the human entorhinal cortex

This study segments the human entorhinal cortex using structural connectivity, identifying MEC and LEC homologues based on differential connections to specific brain regions.

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

This study improves automated white-matter tractography in lower-quality diffusion MRI data by training on high-quality Connectom data and manually annotated pathways.

Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures?

The paper evaluates powder averaging's effectiveness in diffusion MRI for axon diameter estimation in complex brain architectures, finding it accurate across parameters but sensitive to microdispersion at low b-values.

Test-retest reproducibility of in vivo oscillating gradient and microscopic anisotropy diffusion MRI in mice at 9.4 Tesla

This study evaluates the test-retest reproducibility of OGSE and microA dMRI metrics in mice brains, finding high reproducibility for microA and Lambda but not OGSE.

Fixel-Based Analysis and Free Water Corrected DTI Evaluation of HIV Associated Neurocognitive Disorders

This study compares Fixel-based analysis and free water corrected DTI metrics in HIV+ and HIV- individuals to assess white matter damage and its association with cognitive impairment.

White matter microstructural integrity across the adult lifespan: Combined perspective of diffusion tensor and kurtosis imaging

This study compares diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) in UK Biobank data to assess how non-Gaussian diffusion metrics improve understanding of white matter aging.

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution

This paper introduces a super-resolution reconstruction framework for diffusion MRI, showing it improves signal accuracy and precision in low-SNR conditions, especially with high-resolution and spherical b-tensor encoding.

PyDesigner: A Pythonic Implementation of the DESIGNER Pipeline for Diffusion Tensor and Diffusional Kurtosis Imaging

PyDesigner is a Python package that preprocesses diffusion MRI data and estimates tensors, improving accuracy and robustness of diffusion and kurtosis metrics.

Reassessing associations between white matter and behaviour with multimodal microstructural imaging

This paper reassesses WM-behaviour relationships using multimodal microstructural imaging in 50 healthy individuals, finding partial support for FA-behaviour links and suggesting multimodal approaches may better capture WM-behaviour associations.

Multimodal Magnetic Resonance Histology and Light Sheet Imaging for Quantitative Neurogenetics of the Mouse

The paper develops a combined MRI and light sheet imaging approach to generate high-resolution brain phenotypes for neurogenetic studies in mice.

Scaling principles of white matter brain connectivity

The paper investigates how white matter connectivity scales with brain size across primate species, finding a bottleneck in connectivity in larger brains.

dStripe: slice artefact correction in diffusion MRI via constrained neural network

dStripe corrects slice artefacts in diffusion MRI using a constrained neural network to reduce interslice inconsistencies without biasing data.

High-fidelity approximation of grid- and shell-based sampling schemes from undersampled DSI using compressed sensing: Post mortem validation

This study validates compressed sensing for DSI reconstruction, showing high fidelity at R=3 with reduced acquisition time, but degradation at higher acceleration factors.

Neural Networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure

This study uses deep neural networks to accelerate parameter estimation in a high-dimensional diffusion-relaxation MRI model but finds that machine learning cannot replace careful acquisition protocol design.

Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI

This paper uses quantitative MRI to non-invasively map the human lateral geniculate nucleus and its subdivisions, showing that T1 contrast reflects cyto- and myeloarchitectonic differences.

Training Data Distribution Significantly Impacts the Estimation of Tissue Microstructure with Machine Learning

This paper shows that training data distribution affects the accuracy and precision of microstructural parameter estimates using supervised machine learning in quantitative MRI.

A method to remove the influence of fixative concentration on post-mortem T2 maps using a Kinetic Tensor model

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.

Age and Sex Effects on Advanced White Matter Microstructure Measures in 15,628 Older Adults: A UK Biobank Study

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.