Advanced MRI Techniques and Applications

The paper describes a pipeline for quantitative susceptibility and R2* mapping in post-mortem brains and compares results between ALS patients and controls using histology validation.

The paper uses phase contrast MRI at 7T to show that most small cerebral cortical veins have significant flow pulsatility, introducing an automated method to detect this.

The paper evaluates the spatial precision of stimulus-specific BOLD responses using MVPA across cortical depths in V1, finding that multivoxel patterns can achieve sub-millimeter resolution.

The paper investigates rER BOLD fMRI in NHP, finding that while individual elements work well, their combination is challenging due to noise and motion artifacts.

This paper introduces a unified signal readout approach for multi-parametric spinal cord MRI, combined with MP-PCA denoising, improving the quality and consistency of microstructural metrics.

This study uses MEMRI to visualize laminar-specific spinal cord pathways in rats, showing T1 signal enhancement in specific laminae after MnCl2 administration.

The paper analyzes weight sensitivity of temporal SNR metrics in multi-echo fMRI using a generalized Rayleigh quotient framework, showing high similarity in certain brain regions.

This paper identifies and removes high-frequency motion artifacts in single-band fMRI data, improving motion estimates and reducing data loss without biasing functional connectivity.

This paper develops an fMRI approach for whole-brain activity recording in behaving mice, demonstrating its use in complex tasks and reducing movement artefacts.

This paper demonstrates that perfusion-based in situ fixation of ex vivo brains preserves structural integrity and antigenicity, enabling accurate MRI and histological analysis up to 10 months post-mortem.

This study shows weight loss reduces head motion during MRI, suggesting potential biases in neuroimaging outcomes related to obesity.

This paper introduces a machine learning method for dual-calibrated fMRI to estimate OEF and CMRO2, showing reduced computation time, error, and bias compared to existing methods.

The paper evaluates how temporal signal-to-noise ratio (tSNR) changes with different acceleration techniques in EPI, showing that multiband acceleration has less impact on tSNR than slice acceleration.

The paper assesses cerebrovascular reactivity using the O2-CO2 exchange ratio during breath hold challenges and finds it better correlates with CBF changes than individual PCO2 or PO2 changes.

This study investigates eye movement artefacts in simultaneous multi-slice fMRI data and shows that artefact severity depends on the phase-encoding direction.

The paper describes a pre- and in-scan system to reduce head motion in pediatric fMRI scans, showing improved motion control with formal mock scans.

This study examines how changes in end-tidal O2 and CO2 during anaesthesia affect cerebral blood flow in awake adults using BOLD MRI.

The paper develops methods for fMRI in awake infants, shares datasets and software, and provides recommendations for data collection and analysis.

This study compares alfaxalone and ketamine-isoflurane anesthesia protocols in cats, finding alfaxalone provides more stable physiology and consistent BOLD signals during visual or acoustic stimulation.

The paper describes the quality assurance and quality control pipeline for multi-site MRI data in the ONDRI study, ensuring standardized data collection and high image quality.

This paper introduces a phantom system to assess how membrane lipids affect qMRI parameters, showing that lipid composition can be controlled to reliably estimate these parameters.

This paper demonstrates that predicting movement in freely moving C. elegans enables high-quality MRI reconstruction by compensating for motion artifacts.

This paper evaluates NM-MRI protocols for region-of-interest and voxelwise analyses, finding optimized acquisition and preprocessing parameters that improve signal strength and test-retest reliability.

The paper demonstrates how additional noninvasive MRI measurements can resolve ambiguities in the BOLD fMRI signal by distinguishing effects of caffeine on blood flow and oxygen metabolism.

This paper introduces a deep neural network for denoising task-based fMRI data, showing improved activation detection and noise reduction in both simulated and real-world memory task data.

This paper develops a band-stop filter to correct respiratory artifacts in MRI motion estimates, improving data quality and demonstrating real-time implementation.

This paper introduces RBR, a method to correct geometric distortions in fMRI scans, improving spatial specificity for laminar analysis.

This paper tests noninvasive methods to measure absolute cerebral oxygen metabolism (CMRO2) without gas mixtures, finding agreement between new techniques and traditional methods.

The paper presents an ultra-high resolution MRI dataset of an ex vivo human brain and provides it in both native and stereotactic spaces for research and educational use.

The paper derives a ventral striatum-specific hemodynamic response function (VS-HRF) to improve statistical power in fMRI analysis of reward prediction error signals.