Advanced MRI Techniques and Applications

LAB-QA2GO: A free, easy-to-use toolbox for the quality assessment of magnetic resonance imaging data

LAB-QA2GO is a virtual machine that automates MRI data quality assessment with minimal setup and technical knowledge.

Active head motion reduction in Magnetic Resonance Imaging using tactile feedback

This study shows that tactile feedback via medical tape reduces head motion during MRI, improving image quality, with greater reduction for subjects with more motion without feedback.

Formalin Tissue Fixation Biases Myelin-Sensitive MRI

This paper evaluates how formalin fixation affects myelin-sensitive MRI metrics like qMT, MWI, and D2O-exchanged ZTE, finding significant increases in qMT and MWI metrics and minimal changes in D2O-exchanged ZTE intensity.

Density-Weighted Concentric Ring Trajectory using simultaneous multi-band acceleration: 3D Metabolite-cycled Magnetic Resonance Spectroscopy Imaging at 3 T

This study introduces a multi-band magnetic resonance spectroscopy imaging technique that accelerates data acquisition while maintaining spectral quality for metabolite mapping.

Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo

This study uses diffusion-weighted magnetic resonance spectroscopy to detect astrocyte reactivity in mice by analyzing changes in myo-inositol diffusion linked to morphological alterations.

DeepQSM - Using Deep Learning to Solve the Dipole Inversion for MRI Susceptibility Mapping

DeepQSM uses deep learning to solve the dipole inversion in MRI for susceptibility mapping, improving the identification of brain substructures and their magnetic properties in diseases like multiple sclerosis.

Laminar signal extraction over extended cortical areas by means of a spatial GLM

This paper introduces a spatial GLM method to extract laminar signals from cortical data, showing improved signal localization and reduced partial volume effects.

Relative Concentration of Brain Iron (rcFe) Derived from Standard Functional MRI.

The paper introduces a method to estimate relative brain iron concentrations using functional MRI, showing good correspondence with formal iron imaging and providing insights into brain iron and cognition across the lifespan.

Neurochemical correlates of scene processing in the precuneus/posterior cingulate cortex: a multimodal fMRI and 1H-MRS study

The paper investigates the relationship between scene processing in the precuneus/posterior cingulate cortex (PCu/PCC) and local neurochemical levels using fMRI and 1H-MRS, finding a positive correlation between scene-related BOLD activity and tNAA levels.

Serial quantification of brain oxygenation in acute stroke using streamlined-qBOLD

This paper applies streamlined-qBOLD to acute stroke patients to quantify brain oxygenation parameters and their relation to tissue outcomes.

Analytic Model of fMRI BOLD Signals for Separable Metrics of Neural and Metabolic Activity

This paper develops a model to separate neural and metabolic components of fMRI BOLD signals, showing high data fit and explaining signal dynamics.

Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER)

This paper introduces a novel MRI reconstruction method that achieves higher acceleration factors than conventional techniques without loss of resolution.

Defining region-specific masks for reliable depth-dependent analysis of fMRI data

The paper introduces a method to assess and mask registration quality in fMRI data to improve depth-dependent analysis reliability.

A Framework for Cortical Layer Composition Analysis using Low Resolution T1 MRI Images

This paper introduces a method to analyze cortical layer composition using low-resolution T1 MRI images, resolving partial volume effects and enabling subvoxel composition estimation.

Ultra-high field MRI reveals mood-related circuit disturbances in depression: A comparison between 3-Tesla and 7-Tesla

This study compares 7-Tesla and 3-Tesla MRI in detecting mood-related neural circuit disturbances in depression, showing significant improvements in signal quality and detectability at 7T.

SHARQnet - Sophisticated Harmonic Artifact Reduction in Quantitative Susceptibility Mapping using a Deep Convolutional Neural Network

SHARQnet improves background field removal in QSM by using a deep convolutional neural network, outperforming current methods without parameter tuning.

State or trait? MRS-measured GABA and Glutamate concentrations are not modulated by task demand and do not robustly predict task performance

A critical assessment of data quality and venous effects in ultra-high-resolution fMRI

This study evaluates ultra-high-resolution fMRI's ability to capture fine-scale BOLD activity, identifies venous effects as a confounding factor, and provides practical recommendations for data interpretation.

Assessment of the effects of aerobic fitness on cerebrovascular function in young adults using multiple inversion time arterial spin labelling MRI

This study examines the relationship between aerobic fitness and cerebrovascular function in young adults, finding lower cerebral blood flow and higher cerebrovascular reactivity with higher fitness levels.

Precision Brain Morphometry: Feasibility and Opportunities of Extreme Rapid Scans

This paper explores using rapid structural scans and averaging to achieve accurate brain morphometry with less total acquisition time than traditional long scans.

Individualised MRI training for paediatric neuroimaging in autism spectrum disorders: A child-focused approach

This paper describes an individualised MRI training approach for children with ASD to improve image quality by reducing motion artefacts through a child-focused familiarisation strategy.

Coupling between cerebral blood flow and cerebral blood volume: Contributions of different vascular compartments

This study measures CBF-CBV coupling in different vascular compartments during neural activation and reports coupling constants for total and arterial CBV.

Two-dimensional local Fourier image reconstruction via domain decomposition Fourier continuation method

This paper introduces a 2D local Fourier image reconstruction method using domain decomposition and Fourier continuation to improve image quality and reduce computational cost.

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data

Qoala-T is a supervised-learning tool that predicts the quality of FreeSurfer segmented MRI data with high accuracy, reducing manual quality control time and variability.

Simultaneous task-based BOLD-fMRI and FDG functional PET for measurement of neuronal metabolism in the human visual cortex

This study combines simultaneous BOLD-fMRI and FDG-PET to measure task-evoked neuronal metabolism in the human visual cortex with high temporal resolution.

The Trouble Interpreting fMRI Studies in Populations with Cerebrovascular Risk: The Use of a Subject-Specific Hemodynamic Response Function in a Study of Age, Vascular Risk, and Memory

This study shows that using a subject-specific hemodynamic response function improves the interpretation of fMRI data by reducing variability and enhancing consistency in brain activity patterns related to age and vascular risk.

MRI-related anxiety in healthy individuals, intrinsic BOLD oscillations at 0.1 Hz and heart rate variability in low frequency bands

The paper examines the relationship between MRI-related anxiety, 0.1-Hz BOLD oscillations, and heart rate variability in healthy individuals during resting state scans.

Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO2 fluctuations in the human brain using BOLD-fMRI

This paper models dynamic cerebrovascular reactivity to CO2 fluctuations using BOLD-fMRI, revealing regional variability and distinct dCVR patterns under different conditions.

Challenges and perspectives of quantitative functional sodium imaging (fNaI)

This paper investigates quantitative functional sodium imaging (fNaI) to measure 23Na concentration changes during motor tasks, showing sensitivity to distributed functional alterations in brain regions.

Feasibility of Functional MRI at Ultralow Magnetic Field via Changes in Cerebral Blood Volume

The paper investigates the feasibility of functional MRI at ultralow magnetic field using changes in cerebral blood volume and predicts signal-to-noise ratios for different experimental conditions.