Advanced Neuroimaging Techniques and Applications

The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance

This study shows that vascular factors like blood pressure and white matter hyperintensity burden mediate age-related declines in executive function via changes in white matter microstructure.

SPHERIOUSLY? The challenges of estimating spherical pore size non-invasively in the human brain from diffusion MRI

This paper identifies challenges in estimating spherical pore size in the human brain using diffusion MRI, highlighting noise biases, signal fraction limits, and sensitivity to cylindrical structures.

Beyond BOLD: Evidence for diffusion fMRI contrast in the human brain distinct from neurovascular response

This study demonstrates that diffusion fMRI (dfMRI) can detect brain activity contrasts distinct from BOLD, with specific activation maps and resting-state connectivity free from vascular artifacts.

Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI

This study compares four tractography methods for reconstructing the retinogeniculate visual pathway using diffusion MRI data from 57 subjects, finding that UKF-2T and iFOD1 provide the best results.

White matter microstructure characterisation in temporal lobe epilepsy

This study identifies specific white matter alterations in left and right temporal lobe epilepsy using diffusion imaging parameters and spatial statistical analysis.

Decoding the microstructural properties of white matter using realistic models

This paper presents a pipeline to generate realistic white matter models and uses deep learning to decode microstructural parameters from multi-echo multi-orientation MR data.

Track-To-Learn: A general framework for tractography with deep reinforcement learning

Track-To-Learn uses deep reinforcement learning to improve diffusion MRI tractography without requiring labeled data, achieving better generalization than prior methods.

In vivo human whole-brain Connectom diffusion MRI dataset at 760 μm isotropic resolution

The paper presents a high-resolution in vivo whole-brain diffusion MRI dataset with detailed anatomical images and field maps for research and development of dMRI techniques.

White matter microstructural changes in short-term learning of a continuous visuomotor sequence

This study investigates white matter microstructural changes during short-term motor sequence learning using MRI scans and finds significant changes in early learning phases and functional connectivity.

MVD-Fuse: Detection of White Matter Degeneration via Multi-View Learning of Diffusion Microstructure

MVD-Fuse integrates diffusion MRI models to detect white matter degeneration, showing improved classification of pre-HD and healthy controls with MKL fusion.

Coherent waves of myelin plasticity during motor-skill learning

This study shows that motor skill learning involves coherent waves of myelin plasticity in the corticospinal-hippocampal loop, with spatial and temporal patterns linked to training performance.

Characterization of spatial dynamics of fMRI data in white matter using diffusion-informed white matter harmonics

This study uses diffusion-informed white matter harmonics to analyze spatial dynamics of fMRI data, revealing subtle spatial modulations under functional load.

Enabling constrained spherical deconvolution and diffusional variance decomposition with tensor-valued diffusion MRI

This paper develops a tensor-valued constrained spherical deconvolution method and evaluates its performance on simulated and in vivo data for improved fiber orientation and microstructural measures.

Diffusion property and functional connectivity of superior longitudinal fasciculus underpin human metacognition

The paper investigates the role of the superior longitudinal fasciculus (SLF) in metacognition using DTI and fMRI, finding its structural integrity correlates with both perceptual and mnemonic metacognitive abilities.

Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM) in big data analysis: UK Biobank 18608 example

The paper introduces YTTRIUM, a QC method for diffusion MRI data, showing it improves brain age prediction accuracy in UK Biobank data.

Occipital Intralobar fasciculi and a novel description of three forgotten tracts

This paper provides a modern description of occipital intralobar fiber tracts using diffusion MRI tractography, reconstructing five tracts described by Dejerines and identifying a sixth.

White matter myelination during early infancy is explained by spatial gradients and myelin content at birth

The paper uses MRI data to show that white matter myelination in infants follows spatial gradients and increases with age, as indicated by R1 values.

White matter alterations in glaucoma and vision-deprived brains differ outside the visual system

The paper compares white matter microstructure changes in glaucoma and monocular blindness, finding distinct patterns outside the visual system.

Deep Learning Based Segmentation of Brain Tissue from Diffusion MRI

This paper develops a deep learning method to segment brain tissue from diffusion MRI without anatomical registration, achieving high accuracy on both HCP and clinical data.

Cyto/myeloarchitectural changes of cortical gray matter and superficial white matter in early neurodevelopment: Multimodal MRI study of preterm neonates

This study uses MRI to analyze cyto/myeloarchitectural changes in preterm neonates' cortical gray matter and white matter, identifying spatiotemporal patterns and associations with developmental outcomes.

Infants' cortex undergoes microstructural growth coupled with myelination

The paper shows that infant cortex undergoes microstructural growth linked to myelination, with visual areas developing hierarchically.

Age dependency and lateralization in the three branches of the human superior longitudinal fasciculus

This study examines age dependency and lateralization in the three branches of the human superior longitudinal fasciculus using diffusion MRI and quantitative R1 maps across a wide age range.

Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients

This paper quantifies structural connectome disruptions in glioblastoma patients using diffusion MRI and shows their association with worse prognosis and survival.

Location, location, location- choice of Voxel-Based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers

This study shows that different VBM processing pipelines produce highly variable brain maps, affecting region identification and interpretation of sex and age differences.

Structural alterations in the macaque frontoparietal white matter network after recovery from prefrontal cortex lesions

This study examines structural white matter changes in macaques after prefrontal cortex lesions and finds that recovery is associated with changes in fractional anisotropy in specific fiber tracts.

Mapping the living mouse brain neural architecture: strain specific patterns of brain structural and functional connectivity

The paper compares structural and functional brain connectivity between C57BL/6 and BALB/cJ mice using MRI techniques, revealing strain-specific differences in brain morphology and connectivity patterns.

Characterization of late structural maturation with a neuroanatomical marker that considers both cortical thickness and intracortical myelination

The paper introduces a new cortical maturation index (MATUR) based on the ratio of cortical thickness and intracortical myelination, showing it better captures age-related structural changes in adulthood than either measure alone.

Unraveling micro-architectural modulations in neural tissue upon ischemia by Correlation Tensor MRI

This paper introduces Correlation Tensor MRI (CTI) to improve detection of ischemia in neural tissue by analyzing diffusion correlations, showing enhanced sensitivity and specificity in grey and white matter.

Structural connectome fingerprinting and age prediction in pediatric development: assessing voxel- and surface-based white matter connectivity

The paper compares voxel- and surface-based methods for generating structural connectomes, finding voxel-based methods marginally better for age prediction and individual representation.

Precision Diffusion Imaging

This study evaluates diffusion imaging methods for individual-specific precision, finding that BaMM reduces overfitting and achieves better crossing-fiber accuracy with more data.