Advanced MRI Techniques and Applications

The paper investigates non-neural factors affecting BOLD response magnitudes in human participants and proposes a correction method to improve fMRI data interpretation.

The paper introduces a method to estimate local errors in multi-parameter mapping (MPM) neuroimaging data, improving group-level sensitivity by accounting for noise and artefacts.

This paper quantifies cerebral blood arrival times using hypoxia-mediated arterial BOLD contrast and applies it to assess collateral flow in patients.

This paper demonstrates that 2x zero-filling improves modeling accuracy in in vivo MRS data compared to no zero-filling, with no additional benefit from higher zero-filling.

This study compares EPImix and conventional T1-weighted MRI scans for tissue volume estimation and brain-age prediction, finding similar results but a systematic age offset that can be corrected.

The paper shows visual stimulation induces fast, functionally specific cortical thickness changes in V1, comparable to BOLD signals but weaker in V3, suggesting non-hemodynamic mechanisms.

This study compares multi-echo combination methods for MRI quantitative susceptibility mapping (QSM) and finds that nonlinear phase fitting before Laplacian-based methods provides the highest accuracy and lowest noise.

This study evaluates frame censoring for motion correction in task-based fMRI across multiple datasets, finding modest improvements but no single method consistently outperforms others.

This paper provides a geometric analysis of tSNR and dCNR in multi-echo fMRI, identifying three regimes of weight dependence and their impact on metric performance.

This paper compares five intracranial volume estimation methods and finds high correlations between them, with age-related reductions in ICV observed across all methods in longitudinal analyses.

The paper investigates how data acquisition and modelling choices affect the relationship between baseline cerebral blood flow and BOLD cerebrovascular reactivity, finding that breathing task data and lag-optimization improve correlations.

This paper introduces two empirical methods to correct B1+ transmit field biases in T1w/T2w myelin maps, improving their accuracy for neuroanatomical and statistical analyses.

The paper demonstrates a method to estimate 31P transversal relaxation times and metabolite concentrations in the human brain at 9.4T, finding T2 values and pH levels consistent with literature.

The paper develops a QSM pipeline to analyze brain magnetic susceptibility in UK Biobank data, finding associations with iron, disease, and genetic variants.

This study shows that real-time motion monitoring with FIRMM software improves the quality and usability of fMRI data in infants by reducing motion artifacts.

This paper introduces a deep learning framework to harmonize multisite neuroimaging data by removing site effects while preserving biological features, showing improved performance over traditional methods.

This study uses MRI to detect early cerebrovascular pathology and track antiviral T cells in a murine model of CNS infection.

This paper models the hemodynamic response function using EEG-fMRI data during resting-state and motor tasks, finding frequency-specific and region-specific contributions to BOLD signal variance.

This study demonstrates that high-resolution 7T time-of-flight MRI can image pial arteries in vivo, showing that resolution, not blood flow speed, limits visualization of these vessels.

This paper introduces a Julia-based toolkit for rapid and accurate parameter estimation in SIR MRI, achieving a 20-fold speedup over MATLAB.

The paper investigates neurovascular coupling in the cerebellar cortex and finds non-linear frequency dependence due to competition between vasodilation and vasoconstriction pathways.

This study shows video-evoked fMRI BOLD responses are consistent across different data acquisition sites, both for matched and unmatched datasets.

The paper shows that perceived and unperceived visual stimuli with similar BOLD-fMRI responses have distinct neurometabolic profiles in V1, with lactate and glutamate accumulation only during perception.

This study evaluates the test-retest reproducibility of MTR and MTsat in mouse brains at 9.4 T, finding high reproducibility and sample size requirements for detecting effect sizes.

The paper maps glutamate distribution in adult and old primate brains using high-field gluCEST imaging, identifying age-related changes in specific brain regions and networks.

The paper introduces a data-driven method to restore statistical validity in MRI group analyses by assigning image weights based on quality indices, improving performance across brain regions despite motion effects.

This paper introduces a model-based method to correct dynamic off-resonance in accelerated fMRI of awake non-human primates, reducing artifacts and improving image quality.

The paper compares seven algorithms for modelling GABA-edited 1H-MRS data from 222 subjects across 20 sites, finding moderate agreement and highlighting the need for standardized parameters.

This paper introduces MB-SWIFT fMRI to study whole-brain activity in head-fixed rats during spontaneous behavior, showing functional parcellation and behavior-related brain activity.