Advanced MRI Techniques and Applications

A 7T interleaved fMRS and fMRI study on visual contrast dependency in the human brain.

This study uses interleaved fMRS and fMRI to examine how visual contrast affects neurometabolite levels and BOLD responses in the human brain, finding non-linear relationships and consistent glutamate increases.

GABA, glutamatergic dynamics and BOLD contrast concurrently assessed using functional MR spectroscopy during a cognitive task

This paper demonstrates a method to concurrently measure BOLD and metabolite changes during a cognitive task using fMRS, showing significant Glx increases and moderate BOLD correlation.

Noninvasive detection of Phenylalanine in the human brain with MRS at 7T

This study attempts to noninvasively measure phenylalanine in the human brain using 7T MRS but fails to detect it in vivo, concluding that natural concentrations are below the detection threshold.

Application of a 1H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel Artifacts

This paper introduces AGNOSTIC, a synthetic 1H MRS dataset for training deep learning models to detect and predict out-of-voxel echoes in brain MRS data.

The developmental trajectory of 1H-MRS brain metabolites from childhood to adulthood.

This study characterizes the developmental trajectories of brain metabolites measured by 1H-MRS from childhood to early adulthood, identifying non-linear changes in several metabolites and their associations with cognitive development.

Reducing individual differences in task fMRI with OGRE (One-step General Registration and Extraction) preprocessing

The paper compares preprocessing methods for task fMRI data, finding that OGRE reduces inter-individual variability and increases activation detection in primary motor cortex compared to FSL and fMRIPrep.

Microvascular Specificity of Spin Echo BOLD fMRI: Impact of EPI Echo Train Length

This study investigates how echo train length (ETL) affects microvascular specificity in SE-EPI BOLD fMRI, showing increased macrovascular contamination with longer ETL durations.

Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset.

The paper develops acquisition protocols and processing pipelines for whole-brain layer-fMRI and introduces the Kenshu dataset for benchmarking and analysis.

SACNet: A Multiscale Diffeomorphic Convolutional Registration Network with Prior Neuroanatomical Constraints for Flexible Susceptibility Artifact Correction in Echo Planar Imaging

SACNet corrects susceptibility artifacts in dMRI scans using a registration network with neuroanatomical constraints, showing improved performance across diverse datasets.

A characterization of cardiac-induced noise in R2* maps of the brain

This paper characterizes cardiac-induced noise in brain R2* maps and proposes a sampling strategy to mitigate its effects.

Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images

This paper develops a deep learning method with uncertainty estimation to detect MRI artifacts in large imbalanced datasets, achieving high accuracy and outperforming previous approaches.

Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T

This study compares denoising methods for multi-echo 7T fMRI data, finding that ME-ICA combined with aCompCor and ICA-AROMA is highly effective for noise reduction and signal preservation.

Preliminary cross-sectional investigations into the human glymphatic system using multiple novel non-contrast MRI methods.

The paper uses two non-contrast MRI methods to investigate the glymphatic system's response to sleep and aging in humans.

An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI

The paper introduces an open-access dataset combining EEG and fMRI data from naturalistic viewing tasks to study brain function and preprocessing methods.

Considerations on brain age predictions from repeatedly sampled data across time

This paper evaluates brain age predictions across repeated time points and finds small within-subject correlations, field strength influence, and model biases.

Reduced brain glutathione levels during normal aging are associated with visuospatial memory

This study examines how brain glutathione levels change with age and their link to cognitive function in healthy adults, finding age-related declines in specific brain regions and sex differences in GSH dynamics.

Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing

The paper shows resting-state fMRI signals contain spectral signatures reflecting local hemodynamic response timing variations across brain regions.

MISPEL: A supervised deep learning harmonizationmethod for multi-scanner neuroimaging data

MISPEL is a supervised deep learning method for harmonizing multi-scanner neuroimaging data, outperforming existing methods in reducing scanner-related variability.

Evaluating the capabilities and challenges of layer-fMRI VASO at 3T

This paper evaluates 3T layer-fMRI VASO for cortical layer-specific functional imaging, finding it feasible for motor tasks despite thermal noise limitations.

Fast layer-fMRI VASO with short stimuli and event-related designs at 7T

This paper develops a fast VASO fMRI method with short stimuli and event-related designs to capture layer-specific hemodynamic responses with high spatio-temporal resolution.

Retrieving fMRI data in real-time: difficulties and pitfalls

The paper addresses real-time fMRI data export challenges, showing delays in data transfer and proposing a solution for Siemens MRI devices that reduces delays and improves quality measures.

Harmonisation of multi-site MRS data with ComBat

This paper applies ComBat to harmonize multi-site MRS data, revealing biological effects obscured by site and vendor differences.

GABA and Glutamate response to social processing; a functional MRS study

The paper uses fMRS to assess GABA and glutamate responses during social processing in V1 and STS, finding a small V1 GABA decrease with social stimuli and no change in STS.

Neptune: a toolbox for spinal cord functional MRI data processing and quality assurance

Neptune is a MATLAB-based toolbox for spinal cord fMRI data processing and quality assurance, offering a 19-step preprocessing pipeline and 4-step post-processing pipeline with enhanced quality control features.

Data-driven signal analysis of sensory cortical processing using high-resolution fMRI across different studies

This paper develops a data-driven method for analyzing fMRI data across studies, revealing consistent patterns in BOLD time series and demonstrating its generalizability and robustness.

Validating time-resolved fMRI with sub-second event durations

This study validates time-resolved fMRI for detecting sub-second timing differences in neural responses by testing how stimulus duration and intensity affect hemodynamic signals.

Gestational and postnatal age associations for striatal tissue iron deposition in early infancy

The paper measures striatal iron deposition in neonates using MRI and finds age-related changes in specific subregions but not others.

Style Transfer Generative Adversarial Networks to Harmonize Multi-Site MRI to a Single Reference Image to Avoid Over-Correction

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without site labels, effectively removing cross-site variation while preserving clinical patterns.

Novel insights into hippocampal perfusion using high-resolution, multi-modal 7T MRI

This study measures hippocampal perfusion using 7T MRI and finds significant subfield differences, with CA1 having the lowest perfusion, influenced by vascular proximity and cytoarchitecture.

Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In Silico Optimized Peptides

The paper develops a synthetic biosensor for CEST MRI using in-silico optimized peptides, showing comparable contrast to existing agents.