Advanced MRI Techniques and Applications

This paper evaluates 3T layer-fMRI VASO for cortical layer-specific functional imaging, finding it feasible for motor tasks despite thermal noise limitations.

This paper develops a fast VASO fMRI method with short stimuli and event-related designs to capture layer-specific hemodynamic responses with high spatio-temporal resolution.

The paper addresses real-time fMRI data export challenges, showing delays in data transfer and proposing a solution for Siemens MRI devices that reduces delays and improves quality measures.

This paper applies ComBat to harmonize multi-site MRS data, revealing biological effects obscured by site and vendor differences.

The paper uses fMRS to assess GABA and glutamate responses during social processing in V1 and STS, finding a small V1 GABA decrease with social stimuli and no change in STS.

Neptune is a MATLAB-based toolbox for spinal cord fMRI data processing and quality assurance, offering a 19-step preprocessing pipeline and 4-step post-processing pipeline with enhanced quality control features.

The paper measures striatal iron deposition in neonates using MRI and finds age-related changes in specific subregions but not others.

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without site labels, effectively removing cross-site variation while preserving clinical patterns.

The paper develops a synthetic biosensor for CEST MRI using in-silico optimized peptides, showing comparable contrast to existing agents.

This paper introduces an automated MRS analysis workflow that reduces manual steps and integrates with neuroimaging standards, improving efficiency and scalability.

The paper conducts a meta-analysis of brain MRS studies to establish metabolite concentration ranges and relaxation rates for use in simulations and as references.

This paper introduces a deep learning approach for spectral registration in MRS data, showing improved accuracy in frequency and phase correction compared to existing methods.

SLIPMAT extracts high-quality, tissue-specific spectral profiles from 1H MRSI data, revealing metabolite differences between healthy individuals.

This paper improves fMRI analysis by capturing hemodynamic profiles instead of relying on a canonical HRF, showing better sensitivity and cross-study reproducibility.

This paper introduces a method to reduce distortion and boundary slice aliasing in 3D diffusion MRI without increasing scan time, achieving high-resolution imaging with improved anatomical fidelity.

This study evaluates Kernel Low-Rank Compressed Sensing for preclinical diffusion MRI, showing improved performance over conventional methods at higher acceleration factors.

This study uses CBV-sensitive fMRI to quantify columnar organization in human hMT+ for axis-of-motion stimuli, showing higher specificity with VASO over BOLD.

This study quantifies in vivo brain iron concentration using a 3D rosette-based ultra-short echo time MRI sequence and demonstrates its ability to highlight deep brain structures with potential iron accumulations.

This paper introduces APART-QSM, an improved quantitative susceptibility mapping method that separates paramagnetic and diamagnetic susceptibility sources with higher accuracy than previous methods.

The paper presents a large-scale MRI database of marmosets across a wide age range to study brain aging and its factors.

The paper examines age-related changes in brain metabolite levels in children aged 2-11 years using MRS, finding age-related increases and decreases in several key metabolites in specific brain regions.

This study compares hemodynamic delay estimates between resting-state and breathing-task fMRI data in healthy adults, finding poor overall agreement but improved agreement in specific brain regions.

The paper characterizes age-related changes in microstructure of topographic maps in the primary motor cortex using MRI data from younger and older adults.

This paper introduces a self-supervised deep learning method for quantifying metabolite concentrations in MR spectroscopy data, showing comparable accuracy to traditional methods with faster processing.

This paper introduces Synth, a field map-less distortion correction method for fMRI data, showing comparable or better performance than field map-based approaches in pediatric and adult datasets.

This paper compares alternative reference signals for mapping cerebrovascular reactivity using breath-hold task BOLD fMRI, showing that RVT and GM-BOLD can produce comparable CVR maps when PETCO2 quality is insufficient.

This study demonstrates the feasibility of layer-dependent fMRI at 3T using NORDIC denoising and phase regression, achieving reliable layer profiles in the primary motor cortex.

This paper optimizes the FLAWS MRI sequence with compressed sensing to reduce acquisition time while maintaining image quality and enables T1-weighted imaging and mapping at 3T.

The paper measures glutamate metabolism in the human brain using 1H FID-MRSI after oral administration of [1-13C]Glc, revealing labeling changes in multiple metabolites with high spatial and temporal resolution.

This paper develops and applies a VASO protocol to study laminar responses and tonotopy in the human auditory cortex at 7 Tesla.