Advanced MRI Techniques and Applications

SORDINO for Silent, Sensitive, Specific, and Artifact-Resisting fMRI in awake behaving mice

SORDINO improves fMRI in awake mice by being silent, sensitive, specific, and resistant to motion artifacts, enabling better brain activity mapping.

Multidimensional T1-T2 Relaxation Imaging In Vivo on a Portable 0.064~T MRI Scanner

This paper demonstrates whole-brain multidimensional T1-T2 relaxation imaging on a portable 0.064 T MRI scanner, showing that joint distributions provide additional information beyond single-value relaxation maps.

SiGn: An Open-Source Signal-Generating fMRI Phantom for Dynamic Quality Assurance

The paper introduces SiGn, an open-source fMRI phantom that generates dynamic signals for quality assurance, validated through scanning and analysis.

Feasibility of laminar functional quantitative susceptibility mapping

This study evaluates fQSM's feasibility for whole-brain laminar activation mapping, showing less bias towards superficial layers compared to BOLD fMRI and comparable results to VASO.

Age-related differences in neurometabolite concentrations during early infancy: A cross-sectional analysis of the HBCD Release 1.0

The paper analyzes age-related changes in neurometabolite concentrations in infants using 1H-MRS data from the HBCD study, finding significant increases in some metabolites and decreases in others.

Quality Assurance Strategies for Brain State Characterization by MEMRI

The paper introduces quality assurance strategies and software for MEMRI data analysis to enable scalable and reproducible brain state characterization across cohorts.

Observations of anisotropic paramagnetic and diamagnetic susceptibility in the primate brain

This study uses MRI and computational methods to show that paramagnetic substances contribute to susceptibility anisotropy in primate brain tissue, alongside diamagnetic components.

A geometric anthropomorphic phantom for quantitative susceptibility mapping: accuracy and repeatability

This paper evaluates the accuracy and repeatability of quantitative susceptibility mapping using an anthropomorphic phantom, finding better performance at 3T than 7T.

Quantitative MRI Preprocessing: Effects of Tissue-Specific Smoothing Approaches on Statistical inference

This study compares tissue-specific MRI smoothing methods and their impact on statistical inference, finding that different approaches affect sensitivity and model fit in distinct brain regions.

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans

This study develops a deep learning model to enhance ultra-low-field MRI scans to near high-field resolution without paired high-field data, improving image quality and accessibility.

Open-Source Framework for Measurement of the Gradient Impulse Response Function

The paper presents an open-source framework for measuring the Gradient Impulse Response Function (GIRF) in MRI, enabling reproducible and accessible scanner-specific GIRF characterization.

PINN-ing the Balloon: A Physically Informed Neural Network Modelling the Nonlinear Haemodynamic Response Function in MRI

This paper introduces a physics-informed neural network to model the haemodynamic response function in MRI, achieving high accuracy in estimating neurovascular state variables and BOLD signals.

Quantitative Semisolid Magnetization Transfer and Relayed Nuclear Overhauser Effect Imaging in a Multiple Sclerosis Mouse Model Using Deep Magnetic Resonance Fingerprinting

This paper quantifies semisolid magnetization transfer and relayed nuclear Overhauser effect in a MS mouse model using deep MRI fingerprinting, showing early biomarker changes before conventional methods.

Testing the reliability of novel Voxel Placement approaches for Magnetic Resonance Spectroscopy

This study evaluates three voxel placement methods for MRS, finding that SSVR significantly improves reliability and reduces metabolite variability in challenging regions.

Assessing molecular, cellular and transcriptomic bases of laminar perfusion and cytoarchitecture coupling in the human cortex

The paper introduces CCSI, a metric linking cortical blood flow and cellular architecture, showing its correlation with metabolic and structural features across brain regions.

Single-shot simultaneous BOLD and velocity-encoding MRI for functional and slow-flow imaging

This paper develops a single-shot MRI sequence to simultaneously measure BOLD and slow CSF velocity, showing their spatial coupling in the brain.

Spontaneous cortical vasodynamics form a multiscale propagation architecture across the awake brain

The paper analyzes vasomotor rhythms in awake mice using fMRI to show their multiscale propagation patterns across the cortex.

Single Channel Strongly-Coupled Geometry Surface Coil for Small Mammal Whole Brain fMRI

This paper introduces a single-channel strongly-coupled geometry surface coil for rodent whole-brain fMRI, showing improved depth sensitivity and consistent signal-to-noise ratio across loading conditions.

A dynamically coupled kinetic model for Arterial Spin Labeling: Enhancing the reliability of ventricular cerebrospinal fluid renewal quantification in vivo

Exploring the sensitivity limits of neuronal current imaging with MRI and MEG in the human brain

This paper evaluates the sensitivity of spin-lock fMRI for detecting neuronal magnetic fields in vivo, finding it insufficient compared to MEG and BOLD-fMRI.

Optimising 7T-fMRI for imaging regions of magnetic susceptibility

This study improves 7T-fMRI quality in susceptibility-prone regions using multi-echo and multiband sequences, enhancing BOLD signal and GLM precision.

Peripheral Nerve Stimulation Optimized Pulses for EPI (POPE) allows high-resolution fMRI

POPE optimizes EPI gradient pulses to reduce peripheral nerve stimulation, enabling high-resolution fMRI without exceeding safety limits.

The State of Motion: Demographic and representational consequences of motion-based exclusion in fMRI

The paper examines how motion-based exclusion in fMRI disproportionately affects certain demographic groups and alters study outcomes.

Optimizing Network-Level TMS-fMRI: Benchmarking the TMS-Compatible Sushi MR Setup

The paper benchmarks a TMS-compatible Sushi MR setup for whole-brain fMRI, showing it matches a 64-channel reference in resting-state networks and improves task-fMRI with multi-echo combination.

Multi-modal MRI characterisation of vascular remodelling, muscle fibre integrity, and inflammatory recovery in a hindlimb ischaemia mouse model

This paper uses multimodal MRI to monitor vascular remodelling, muscle fibre integrity, and inflammatory recovery in a hindlimb ischaemia mouse model over time.

Impact of multi-echo ICA modeling decisions on motor-task fMRI analysis

This study compares ME-ICA denoising approaches in motor-task fMRI, finding that a conservative method better preserves task-related signal while reducing noise in high-motion scenarios.

An 80-channel receive array for 10.5T neuroimaging: Key considerations for SNR optimization

This paper develops an 80-channel receive array for 10.5T MRI to optimize SNR and parallel imaging by addressing parasitic losses and design improvements.

Orientation Dependence of R2' in White Matter: Digital Characterization, Modelling and Implications for Studying Brain Physiology

This study characterizes the orientation dependence of R2' in white matter, develops a new Myelin-Blood model, and shows it improves R2' fitting compared to existing models.

Improved 3D Radial Phyllotaxis Trajectories for Uniform Density Distribution of Readout Directions and Sequential Binning

The paper introduces improved 3D radial spiral trajectories for MRI that enhance image quality by reducing ringing artifacts and supporting sequential binning.

Non-invasive measurement of neurotransmitter-specific glucose metabolism in the human brain using proton-observed proton-edited 13C-MRS (POPE13C-MRS)

This paper introduces POPE13C-MRS, a method to non-invasively measure neurotransmitter-specific glucose metabolism in the human brain using standard MRI hardware, demonstrating its feasibility in mice and humans.