Advanced Neuroimaging Techniques and Applications

This paper develops a lifespan normative model of brain white matter microstructure using diffusion MRI data from 54,583 individuals, enabling detection of microstructural deviations in diseases like Alzheimer's and 22q11.2 deletion syndrome.

The paper proposes the Decoherence via Demyelination Hypothesis (DDH) to explain age-related cognitive decline through tract-specific myelin loss and its impact on neural network coordination.

This paper develops a deep learning method to map white matter tracts from CT scans in intracerebral hemorrhage patients, showing high anatomical plausibility and correlation with motor scores.

This study identifies differential white matter tract alterations in generalized anxiety disorder using 7T diffusion imaging, linking them to symptom severity and diagnostic utility.

The paper shows that structural connectivity in the human visual cortex preserves retinotopic organization, revealing a retinotopic wiring principle and systematic perceptual asymmetries in early visual cortex connectivity.

This study evaluates tractometry reproducibility and generalizability across different MRI scanners, models, and protocols, finding high consistency with identical settings but reduced reliability with variations.

The paper examines the preservation of anterior limb of the internal capsule (ALIC) topography in treatment-resistant psychiatric patients, finding it consistent with healthy and preclinical patterns.

The paper identifies a spatiotemporal continuum of structural connectivity development in youth, showing a shift from sensorimotor to association connectivity around age 15 and its links to cognition and psychopathology.

This paper introduces an asymmetry-aware tractometry framework to quantify left-right hemispheric asymmetries in white matter tracts and applies it to Alzheimer's Disease data to differentiate cognitive states.

This paper develops a framework to simulate diffusion MRI from histology at clinically relevant scales, showing accurate results with reduced computational cost.

This study tracks white matter maturation in infants from birth to 6 months using dense diffusion tensor imaging, finding faster growth rates early on and similar trajectories when adjusted for gestational age.

The paper develops normative reference charts for white matter microstructure and macrostructure across the lifespan using diffusion MRI data from 50 studies.

SPECTRA improves white matter microstructure mapping by incorporating spatial resolution and adaptive error control in tractometry analysis.

FiberLM improves mouse brain tractography by reducing false connections and aligning with viral tracer data using a Transformer model trained on Allen Mouse Brain Connectivity Atlas data.

This paper introduces a hierarchical Bayesian modelling approach for diffusion and exchange MRI data, showing improved accuracy and noise resilience compared to traditional least-squares methods.

The paper introduces tLSSM, a label-free method for 3D fiber orientation mapping at micrometer resolution, demonstrating superior spatial resolution compared to diffusion MRI.

This study links childhood environmental exposures to white matter structure in children, showing that advantaged environments correlate with larger white matter tracts and reduced orientation dispersion.

ACCURAT provides an open framework and neuroanatomical reference for reconstructing cerebellar pathways using diffusion MRI and anatomical priors.

The paper investigates myelin development in human visual cortex using qMRI and immunohistochemistry, finding distinct myelination and R1 trajectories across development.

The paper examines how fiber-tract development in the human hippocampus correlates with functional specialization across childhood, finding that cross-sectional area of specific tracts predicts functional specialization.

This paper validates combined T2-Diffusion MRI in ex vivo ADRD white matter using phantoms and simulations, showing accurate resolution of myelin and axonal water signatures.

This study evaluates how age, sex, and MRI vendor contribute to variance in DTI metrics across a large dataset of healthy brain scans.

BundleWarp improves white matter tractometry by aligning tracts while preserving anatomical features, enhancing sensitivity to disease-related changes in conditions like Alzheimer's and Parkinson's.

This paper evaluates diffusion tensor imaging on a portable 100 mT MRI system for corpus callosum analysis, finding MD values within 10% of 1.5T reference but FA underestimated by 20-30%.

This study links WM maturation in preadolescence to cognitive performance and future psychiatric disorders using normative models of brain age.

The paper develops an agent-based model to predict neural stem cell migration in mouse brains using multi-fiber tractography, showing injection location affects distribution and suggesting factors like chemotaxis may be important.

The paper presents a curated dataset of processed diffusion MRI data from the ABCD Study, showing that specific diffusion metrics are sensitive to adolescent white matter development and robust to image quality variation.

This study evaluates phase-encoding correction strategies for 7T diffusion MRI to improve geometric accuracy and reproducibility, finding that 4-way PE acquisitions provide the best results.

This paper introduces a novel diffusion tensor distribution (DTD) MRI method to measure mesoscopic brain tissue structure in vivo, revealing new microstructural features not previously observed.

This study shows fractional anisotropy from MRI correlates with brain tissue stiffness, suggesting it can be used as a non-invasive marker for mechanical properties.