Advanced MRI Techniques and Applications

Predicting multimodal MRI outcomes in children with neurodevelopmental conditions following MRI simulator training

The paper examines factors predicting successful MRI data acquisition in children with neurodevelopmental conditions after simulator training, finding age and sensorimotor atypicalities as key predictors.

Neuroimaging Measures of Iron and Gliosis Explain Memory Performance in Aging

The paper uses MRI techniques to show that brain iron and gliosis relate to memory performance in aging humans.

MRS-measured Glutamate versus GABA reflects excitatory versus inhibitory neural activities in awake mice

The paper shows that MRS-measured Glutamate and GABA levels in awake mice correlate with excitatory and inhibitory neural activities during stimulation and in a Dravet syndrome model.

Single-vessel cerebral blood flow fMRI to map blood velocity by phase-contrast imaging

This paper introduces CBF-fMRI using phase-contrast imaging to map blood velocity in single vessels, showing comparable velocity changes in arterioles and venules.

Statistical Power or More Precise Insights into Neuro-Temporal Dynamics? Assessing the Benefits of Rapid Temporal Sampling in fMRI

This review evaluates the benefits of rapid temporal sampling in fMRI, showing it can reveal previously undetected neuro-temporal dynamics and improve spatial precision.

Global Mapping of Mouse CSF Flow via HEAP-METRIC Phase-contrast MRI

The paper develops a novel MRI technique, HEAP-METRIC, to map slow CSF flow in mice and shows it is reduced under anesthesia.

Lowering the Thermal Noise Barrier in Functional Brain Mapping with Magnetic Resonance Imaging

This paper introduces a novel fMRI denoising technique that improves temporal-SNR and functional map detection without altering signal amplitudes or spatial precision.

NORDIC Increases the Sensitivity and Preserves the Spatiotemporal Precision of fMRI Responses

The paper evaluates the NORDIC method for reducing thermal noise in fMRI data, showing it improves sensitivity and preserves spatiotemporal precision without significant loss of temporal information.

Achieving High-Resolution Whole-Brain Slab 1H-MRSI with Compressed-Sensing and Low-Rank Reconstruction at 7 Tesla

This paper develops a compressed-sensing and low-rank reconstruction method for high-resolution whole-brain 1H-MRSI at 7 Tesla, achieving detailed metabolite imaging in 2D and 3D with reduced acquisition times.

Physiological noise modeling in fMRI based on the pulsatile component of photoplethysmograph

This study introduces a new cardiac pulsatility model (CPM) for fMRI noise correction, showing it outperforms existing methods in explaining fMRI signal variance.

Sensitivity and resolution improvement for in-vivo magnetic resonance current density imaging (MRCDI) of the human brain

This paper improves the sensitivity and resolution of in-vivo magnetic resonance current density imaging (MRCDI) through methodological advancements and validates it using phantom and human brain experiments.

A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data

This paper introduces a method to assess hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data, identifying hypoperfusion components that correlate with delayed perfusion and reperfusion.

Imaging Multiple Sclerosis Pathology at 160μm Isotropic Resolution by Human Whole-Brain Ex Vivo Magnetic Resonance Imaging at 3T

This paper develops a 3T MRI method for high-resolution human whole-brain imaging and applies it to study multiple sclerosis pathology.

Reducing SAR in 7T brain fMRI by circumventing fat suppression while removing the lipid signal through a parallel acquisition approach

This paper reduces SAR in 7T brain fMRI by removing the fat suppression pulse and separating lipid and water signals using a parallel acquisition approach.

Automated slice-specific z-shimming for fMRI of the human spinal cord

This paper develops automated methods for slice-specific z-shimming in spinal cord fMRI to improve signal quality and reproducibility.

Visualization of subcortical structures in non-human primates in vivo by Quantitative Susceptibility Mapping at 3T MRI

This study uses quantitative susceptibility mapping (QSM) to better visualize subcortical structures in non-human primates, showing improved contrast-to-noise ratios and age-related changes.

An Optimized Registration Workflow and Standard Geometric Space for Small Animal Brain Imaging

This paper introduces an optimized registration workflow and standard geometric space for small animal MRI, improving consistency and data comparability across subjects and sessions.

Investigating the Effect of Flow Compensation and Quantitative Susceptibility Mapping Method on the Accuracy of Venous Susceptibility Measurement

This study evaluates how flow compensation and QSM reconstruction methods affect venous susceptibility measurements, finding that QSM methods have a larger impact than acquisition sequences.

A Simulation Study Investigating Potential Diffusion-based MRI Signatures of Microstrokes

This paper simulates MRI signatures of microstrokes using ASL and DWI, showing significant signal changes with ASL after photothrombosis.

χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain

This paper introduces χ-separation, a method to map iron and myelin in the brain using MRI by modeling their magnetic susceptibility contributions, validated with simulations and experiments.

Single-orientation Quantitative Susceptibility Mapping identifies the Ventral Intermediate Nucleus of the Thalamus

This study uses single-orientation quantitative susceptibility mapping to directly visualize and localize the ventral intermediate nucleus of the thalamus in MRI scans.

Safety and data quality of EEG recorded simultaneously with multi-band fMRI

This study evaluates the safety and EEG data quality of multi-band fMRI compared to single-band fMRI, finding reduced heating and acceptable EEG quality with the multi-band protocol.

A practical modification to a resting state fMRI protocol for improved characterization of cerebrovascular function

This paper modifies a resting-state fMRI protocol by adding breathing tasks to improve cerebrovascular reactivity (CVR) characterization and hemodynamic lag estimation.

Assessing methods for geometric distortion compensation in 7T gradient echo fMRI data

This study compares distortion compensation methods in 7T gradient echo fMRI data using FSL and AFNI, finding that opposite phase encoding scans outperform B0 field maps in whole-brain analyses but SE-to-SE matching improves correction in specific regions.

Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video

This paper trains a convolutional neural network to estimate head pose changes during structural MRI using eye tracker video, showing correlations with cortical thickness and subcortical volume changes.

MESMERISED: Super-accelerating T1 relaxometry and diffusion MRI with STEAM at 7 T for quantitative multi-contrast and diffusion imaging

The paper introduces MESMERISED, a sequence that accelerates T1 relaxometry and diffusion MRI at 7 T, enabling efficient multi-contrast and diffusion imaging with high resolution and speed.

Distinct neurophysiological correlates of the fMRI BOLD signal in the hippocampus and neocortex

This study examines the relationship between fMRI BOLD signals and gamma-band activity in the hippocampus and neocortex, finding region-specific correlations.

The impact of real-time fMRI denoising on online evaluation of brain activity and functional connectivity

This study evaluates the impact of real-time fMRI denoising on brain activity and functional connectivity estimation, finding that certain denoising steps significantly reduce noise.

Toward an early diagnostic marker of Parkinson's: measuring iron in dopaminergic neurons with MR relaxometry

The paper links MRI relaxation rate in substantia nigra to iron concentration in dopaminergic neurons, enabling early Parkinson's disease detection.

The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity

This study compares six multi-echo fMRI combination methods for their impact on BOLD sensitivity in offline and real-time settings, finding T2*FIT-weighted provides the best temporal signal-to-noise ratio.