Advanced MRI Techniques and Applications

The paper develops a 3D vascular model to simulate hemodynamic changes and compute the BOLD fMRI signal response by incorporating biophysical interactions and vascular topology.

This paper develops a tailored haemodynamic response function for dogs, improving fMRI detection power by accounting for species-specific differences in BOLD signal timing.

This study uses 7T 1H-MRS to show that glia-related metabolites increase with age in multiple brain regions and correlate with visuo-spatial working memory performance in healthy adults.

This paper investigates how MP2RAGE sequence parameters affect T1 reproducibility and morphometry across sites, showing that B1+ inhomogeneities significantly impact results and that corrections improve comparability.

The paper introduces a new EPI sampling strategy called skipped-CAIPI that improves flexibility and efficiency in high spatiotemporal resolution imaging.

The paper introduces a motion correction method for multi-contrast 3D imaging and shows it outperforms existing methods in reducing image misalignment.

This study evaluates the reproducibility of 7T quantitative susceptibility mapping (QSM) and R2* at multiple sites using a harmonized protocol, finding improved consistency compared to 3T.

This paper introduces TDM, a method to remove venous effects from task-based fMRI by decomposing responses into microvascular and macrovascular components, improving spatial accuracy.

This study quantifies how sleep affects physiological brain pulsations and shows that spectral entropy of these pulsations can distinguish sleep from awake states.

The paper investigates functional MRI responses in sheep under anesthesia, finding weak BOLD responses in the lateral geniculate nucleus and differences in cerebral blood flow between lambs and adult sheep.

This study optimizes and compares pseudo-continuous arterial spin labeling protocols for cerebral blood flow measurement, finding that a hybrid protocol provides more accurate and repeatable results.

This paper develops a method to reduce technical variation in multisite MRI data by aligning intensity distributions across scanners.

This study evaluates the effectiveness of custom-molded headcases in reducing head motion during naturalistic fMRI tasks and finds they offer limited benefit compared to foam pillows and medical tape.

This study demonstrates line-scanning fMRI as a high-resolution non-invasive method to map functional properties of human cortical layers during visual stimulation.

The paper introduces SILVER, a radial sampling method for MRI that improves SNR and uniformity compared to golden ratio sampling in dynamic imaging.

The paper uses MRS data to analyze temporal dynamics of GABA+ and Glx in visual cortex, finding opposite drifts and predictive relationships between the two neurometabolites.

This study compares CBV and BOLD imaging techniques for cortical layer fMRI, finding both offer similar specificity and sensitivity for mesoscopic imaging.

This paper introduces automated methods to estimate noise distributions in diffusion MRI data using Gamma distribution moments and maximum likelihood, showing improved accuracy over Rician assumptions.

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.

This study shows that splitting fMRI data acquisition into multiple sessions reduces head motion in children and breaks reduce motion in adults, but motion still increases over time in both groups.

This paper introduces a Bayesian model for fMRI analysis that uses Gaussian process priors to estimate brain activity and hemodynamics without assuming a linear time-invariant system.

This study shows that MB4 acceleration improves single-subject voxel-wise statistics in fMRI, with moderate effect sizes in the action observation network, but may over-penalize temporal autocorrelation.

This study examines how inhibiting aquaporin-4 channels affects BOLD and diffusion fMRI responses in rat visual cortex, showing increased BOLD amplitude but no change in diffusion responses.

This study evaluates motion correction methods for spinal cord fMRI, finding that 3D FLIRT with slice-wise regularization improves tSNR and reduces motion artifacts.

This paper introduces arterial blood contrast (ABC) as a novel MRI technique that enhances brain activation measurement by combining magnetization transfer with BOLD contrast, offering improved efficiency and spatial specificity.

This study develops a high-resolution MRSI technique for the cerebellum, enabling detailed metabolic mapping with improved spatial resolution and reduced artifacts.

This study demonstrates a multicenter preclinical MRI study using rat brains to create relaxometry reference maps by analyzing T1 and T2 maps across different imaging centers and processing pipelines.

This study compares 7 T and 3 T fMRI responses in human brain regions during a decision-making task, finding greater 7 T benefits in subcortical areas like the brainstem.

This study uses calibrated fMRI to examine metabolic and blood flow changes during visuomotor adaptation in healthy humans, finding that CMRO2 decreases faster than BOLD or CBF but the flow-metabolism coupling ratio remains stable.