Advanced Neuroimaging Techniques and Applications

This study maps U-shape short-range connectivity around the human central sulcus using diffusion MRI and finds a link between fibre bundle positions and handedness.

This paper processes diffusion-weighted MRI data from the PING dataset to improve connectomic analysis through advanced diffusion metrics and multimodal integration.

The paper evaluates the ComBat method for multi-site diffusion MRI harmonization, finding that it preserves biological variability in some sites but not others and is sensitive to preprocessing differences.

This study shows that free water elimination improves the detection of age-related cingulum changes linked to verbal fluency decline in elderly individuals.

The paper links the number of previous childbirths to white matter brain age in midlife and older women using UK Biobank data.

This paper introduces an empirical method to correct gradient nonlinearity in multi-site diffusion weighted MRI, improving reproducibility across scanners and sessions.

The paper presents a population-based white matter atlas derived from diffusion MRI fiber tractography, including 216 bundles from 2443 subjects.

This study finds that childhood conduct problems are associated with reduced white matter fibre density and morphology in specific brain pathways.

This paper introduces NORDIC, a denoising framework for dMRI that improves SNR and fiber resolution, outperforming existing methods in simulations and human connectome data.

This study uses mixed models and advanced diffusion imaging to show that sleep deprivation and normal sleep-wake cycles differentially affect white matter microstructure.

The paper examines age-related changes in optic radiation white matter and their association with visual and verbal executive functions, finding that degraded white matter correlates with poorer visual executive function in older adults.

The paper tests if heritability of cortical structure reflects a plasticity gradient, finding that sensory areas have higher heritability than limbic/heteromodal areas.

This study examines how exogenous sex hormones affect white matter aging in postmenopausal women using diffusion MRI data from the UK Biobank, finding steeper aging trajectories in hormone therapy users.

The paper creates a multimodal brain atlas for rhesus macaques combining structural and diffusion imaging data to enable consistent region identification across imaging modalities.

This study characterizes 'plis de passage' in the superior temporal sulcus using geometric features and finds they correlate with increased local structural connectivity.

This paper evaluates the reproducibility and fitting quality of high-resolution diffusion kurtosis imaging (DKI) at 3T using varying b-values and phantom data.

This study meta-analyzes MRI biomarkers of myelin to compare their correlation with histology, finding MT and relaxometry-based measures have the highest correlations.

The paper estimates gray and white matter volumes in human spinal cords using MRI and deep learning, finding small gray matter volumes comparable to a fingertip.

This study correlates diffusion kurtosis imaging (DKI) measurements with neurofilament density in macaque brains, showing higher MK and ND in prefrontal/precentral-postcentral cortex compared to temporal cortex.

This paper creates a common space for comparing pig and human structural connectomes to assess the translational validity of porcine neurological disease models.

This study uses advanced diffusion models and brain-age prediction to analyze white matter microstructure changes across adult lifespan, finding that advanced models provide sensitive measures of age-related changes.

This paper introduces a method to estimate orientation-specific relaxation-diffusion features using nonparametric Monte Carlo MRI signal inversion, enabling detailed analysis of white matter microstructure.

This study uses diffusion MRI to find age-related white matter changes in canines, showing similarities to human aging patterns.

This study compares diffusion MRI metrics in simulated edema and fiber crossing, finding DBSI provides more accurate diffusivity and angle estimates than DTI and other methods.

This study identifies and characterizes the superior frontal longitudinal tract (SFLT) through tractography and postmortem dissection, revealing its anatomical patterns and spatial relationships.

Classifyber improves white matter bundle segmentation by combining atlas, connectivity, and geometry data into a linear model, showing robustness across diverse datasets.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

This study applies shape analysis to diffusion MRI tractography data to quantify and compare structural features of human association pathways, revealing lateralization patterns and between-subject variation.

This study examines white matter development in children aged 9-13, finding increases in fibre density linked to puberty, attentional difficulties, and mental health issues.

This paper introduces a scanner harmonization method for diffusion MRI data using adaptive dictionary learning, preserving biological variability while reducing scanner-induced variability.