Advanced Neuroimaging Techniques and Applications

This paper quantifies structural brain connectivity using diffusion MRI in aging and dementia, finding age-related trends and regional effects that suggest potential for age prediction and studying structural connections.

The paper uses neural tracers and DW-MRI tractography to map the complex connectivity of macaque dorsal intraparietal areas, revealing distinct subregions with specific projection patterns.

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.

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.

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.

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.

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

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

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.

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

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.

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

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.

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.

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

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.

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.

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

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.

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.

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

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.

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

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

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.

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.

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.

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.