Advanced Neuroimaging Techniques and Applications

This study creates a new white matter connectivity atlas for chimpanzees and compares it to humans to understand primate brain evolution.

This paper maps subcortical regions in marmoset monkeys using high-resolution MRI and histology, revealing previously invisible structures and providing a 3D atlas for brain research.

This paper uses diffusion MRI and computational methods to map macro- and microstructural features of the human hippocampus, revealing distinct subfield characteristics and potential fiber pathway orientations.

The paper reconstructs subcortical visual pathways in humans and finds that the LGN-MT pathway is more heavily myelinated, suggesting faster signal transmission.

This study shows that free-water volume fraction in white matter increases non-linearly with age, particularly after 60, with region-specific variations and reduced variability when using FW-compensated MR signals.

RELIEF removes inter-scanner biases in neuroimaging data by using multivariate factorization, improving data integration and statistical power.

This study uses a variational autoencoder to generate synthetic tractography-based bundle templates from a small dataset, showing improved shape capture compared to standard atlases.

This study uses diffusion MRI and BUAN to map microstructural differences in white matter tracts between bipolar disorder patients and controls, finding altered Fractional Anisotropy in specific pathways.

The study quantifies corticothalamic connectivity patterns in humans and macaques, revealing distinct spatial extents associated with sensorimotor and associative cortical areas.

The paper introduces the BigMac dataset, combining multi-contrast MRI and microscopy data from a macaque brain, enabling multimodal analysis across scales and tissue states.

The paper maps brainstem connections sustaining wakefulness using ex vivo diffusion MRI, immunohistochemistry, and in vivo 7 Tesla functional MRI.

The paper examines how aging affects structural brain hubs using fiber bundle capacity, finding that hub connections are more vulnerable to age-related declines in processing speed.

This study identifies the human trigeminal-latPB-CeA circuit using diffusion MRI, showing stronger connectivity to the central amygdala than the basolateral amygdala.

This study uses b-tensor encoding and machine learning to classify histopathological damage in white matter, showing sensitivity to microstructural features.

The paper examines individual variability in microstructural-functional coupling in the human cortex using MRI data and identifies coupling patterns linked to cognitive performance.

This paper introduces HARSI, a new method for estimating fiber orientation distribution functions in fixed primate brains, showing it can capture complex fiber configurations comparable to HARDI.

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

The paper uses a supercomputing simulation of fractional Brownian motion to predict serotonergic axon distribution in a 3D mouse brain model, showing qualitative similarity to actual densities.

The paper combines scattered light and X-ray imaging with diffusion MRI to accurately map neuronal orientations and validate fiber crossings in human and vervet monkey brains.

This paper introduces a distance-dependent thresholding method for probabilistic tractography to address systematic thresholding across different track lengths and studies.

The paper shows that internal magnetic gradients affect diffusion MRI signals in myelinated axons, revealing morphology-dependent anisotropy previously unseen in 2D models.

This study quantifies how axonal beading and undulation affect axon diameter estimation in diffusion MRI, showing potential biases up to 100% in pathological conditions.

This work evaluates how white matter registration methods affect tractogram alignment using homologous fiber structures as a benchmark.

The paper evaluates the reliability and variability of diffusion- and myelin-based MRI measurements across multiple sessions and fiber populations, finding moderate to high reliability for diffusion measures and bundle-dependent variability.

The paper introduces RTP2, a reproducible and automated method for white-matter tractography and tractometry using diffusion MRI data.

CATO reconstructs structural and functional brain connectivity from MRI data using diffusion weighted imaging and resting-state fMRI, offering customizable analysis pipelines and open-source tools.

This paper develops a deep learning method to enhance the spatial resolution of diffusion MRI data, achieving better results than spline interpolation on Human Connectome Project data.

This study uses diffusion MRI to track thalamocortical pathway maturation in human fetal brains, identifying key neurobiological changes in the second to third trimester.

The paper investigates the relationship between white matter microstructure and visual working memory precision using diffusion MRI and mixture distribution modeling.

The paper uses tract-based spatial statistics to examine sex differences, lateralization, and age-related white matter development in infants and 5-year-olds using diffusion tensor imaging.