Advanced Neuroimaging Techniques and Applications

The paper uses DTI and NODDI metrics from 16 white matter tracts in preterm and term infants to identify general factors that capture shared variance and predict preterm birth outcomes.

This paper introduces a method to estimate the orientation-independent R2* (R2,iso*) from multi-echo MRI data, showing it works best with long echo times but fails with typical in-vivo protocols.

This paper reviews post mortem methods to validate diffusion MRI tractography and microstructural properties of axon bundles.

The paper examines how fiber length scaling in the corpus callosum varies with brain size across two large cohorts, showing differences linked to functional lateralization, evolution, and development.

This paper introduces Correlation Tensor MRI (CTI) on a clinical 3T scanner to resolve kurtosis sources in the human brain, finding that microscopic kurtosis significantly contributes to total diffusional kurtosis in gray and white matter.

This study uses diffusion-weighted imaging to identify structural connectivity gradients and subdivisions in the macaque insular cortex, revealing a rostrocaudal organization and significant correlations with T1w/T2w and cortical thickness maps.

This study examines how severe traumatic brain injury alters brain connectivity in rats, finding that local network measures can identify subgroups with different structural changes and potential clinical outcomes.

The paper introduces the Digital Brain Bank, an open access platform providing curated post-mortem neuroimaging datasets across species and modalities for neuroanatomical and neuropathological research.

The paper characterizes subiculum-BNST connectivity in humans and macaques using tracers and diffusion MRI, finding heritability and associations with BMI, age, and sex but not stress or alcohol use.

The paper estimates the absolute number of axons connecting human cortical areas using dMRI data and histological calibration, finding sparse long-range connections.

The paper introduces iDIO, a semi-automated pipeline for dMRI data processing that automates configuration and provides post-processing tools and quality control reports.

This paper introduces a Reeb graph model to represent white matter fiber bundles and applies it to study Alzheimer's disease progression by analyzing fiber density changes.

The paper examines the development of the posterior vertical pathway (PVP) white matter tracts and finds they are more adult-like than dorsal stream tracts but less than ventral stream tracts, and are linked to perceptual task performance in children.

The paper shows that enriched environments reduce white matter dispersion in the right FPN, improving alertness and preventing age-related atrophy.

This paper presents a white matter atlas using probabilistic constrained-spherical deconvolution tractography, showing variability and reproducibility across datasets.

The paper examines age-related differences in fractional anisotropy in the locus coeruleus and its ascending noradrenergic tract using diffusion-weighted MRI across three datasets.

The paper proposes generating synthetic structural MRI images from diffusion data to replace corrupted ones, enabling Freesurfer-seeded tractography with high accuracy.

The paper introduces a method to compute tract-specific diffusion statistics for brain white matter connections and reports age and sex-related associations in specific neural networks.

This paper estimates axonal morphology from MRI and EEG data in humans, finding parameters consistent with histological findings.

This study analyzes diffusion MRI data from 1184 participants to quantify age-related changes in white matter microstructure and macrostructure, finding that macrostructural features show more heterogeneous age-related decline.

HiDiver integrates multimodal brain imaging data to enable 3D quantitative analysis of brain structure and function in mice.

The paper evaluates how different diffusion signal modeling and segmentation methods affect subthalamic nucleus parcellation, finding that multi-fiber modeling with fiber density thresholding improves between-subject similarity.

The paper introduces a method to estimate brain diffusion anisotropy using only 3 gradient directions, showing it works but with increased data variability and metric subestimation.

This paper introduces Connectome Spatial Smoothing (CSS) to improve the reliability and sensitivity of structural connectomes by applying spatial smoothing to tractography data.

The paper introduces a CNN-based method to estimate MRI-visible effective axon radius using light microscopy data, showing higher accuracy than traditional arithmetic mean radius estimates.

This paper develops a machine learning framework to map astrogliosis in individual brains using multidimensional MRI, showing strong correlation with histological findings.

This study investigates escitalopram's effect on white matter plasticity during learning and relearning using diffusion tensor imaging in healthy individuals, finding no significant changes in DTI metrics.

The paper identifies microstructural impairments in the prefrontal-habenular connection in cocaine addiction using diffusion tractography and diffusion tensor imaging.

The paper maps structural white matter disconnections in apraxia by analyzing diffusion tensor imaging data from stroke patients, identifying key fronto-temporo-parietal and subcortical networks involved.