Advanced MRI Techniques and Applications

The paper proposes a method to quantify cerebral blood volume and intravascular water residence time using non-contrast MR fingerprinting, showing feasibility in vivo.

The paper examines individual variability in the relationship between resting-state fMRI metrics and cerebrovascular reactivity (CVR) using longitudinal data from 7 subjects with 10 sessions each.

This paper introduces radial encoding MRI to achieve high spatiotemporal resolution single-vessel fMRI in rat somatosensory cortex, enabling detailed hemodynamic mapping of microvessels.

This study evaluates prospective motion correction's effect on perivascular space visibility using motion artifact simulation in MRI data.

This study uses MRI to observe decompression gas bubble formation in live rats' spinal cords in real time during controlled pressure changes.

This study compares 1D and 2D linear-combination modeling of MRS data, finding similar accuracy and uncertainty estimation between the two approaches, with 2D showing stability under correlated noise.

This paper demonstrates a new MRI technique, LoBa-bSSFP, achieving 77-micron isotropic resolution for ex vivo cerebellar imaging using standard 3T equipment.

This paper quantifies metabolite concentrations in the human cerebrum using 9.4T 1H MRSI data and derives region-specific concentrations through group averaging.

This study uses MRI to measure responses of cultured cells and in vivo rat cortex to ionic solutions that modulate membrane potential, finding changes in T2 relaxation time and bound-to-free water proton ratio.

The paper attempts to replicate DIANA fMRI findings in anesthetized mice but fails to observe direct neuronal activity-like peaks, suggesting potential artifacts or data pre-selection issues.

This paper introduces a model-based frequency-and-phase correction method for 1H MRS data using 2D linear-combination modeling, showing improved performance over traditional approaches at low SNR.

This paper applies dynamic parallel transmit (pTx) to improve whole-brain 7T diffusion MRI by reducing signal dropout and increasing SNR and diffusion fitting accuracy.

This paper evaluates how T1-weighted MRI preprocessing affects deep learning brain age prediction models, finding that extensive preprocessing can reduce prediction error and improve generalizability.

The paper demonstrates a model-free method to calculate cerebral perfusion metrics using a step change in deoxyhemoglobin during reoxygenation, comparing results to conventional methods.

This study identifies neurochemical influences on fMRI response polarity in the striatum, showing opioidergic transmission contributes to negative signals while dopaminergic transmission is associated with positive signals.

This study investigates how linewidth and SNR affect GABA+ concentration estimates from MRS data using six modelling algorithms, finding significant associations with Lorentzian linewidth.

InSpectro-Gadget estimates neurotransmitter and neuromodulator receptor distributions in MRS voxels using receptor mRNA data from the Allen Human Brain Atlas.

This paper improves BOLD signal detection in fMRI by using Sliced Inverse Regression to reduce noise and identify relevant regressors, showing better results than traditional GLM approaches.

The paper evaluates the ISTHMUS MRS sequence for reproducibility and data quality in the HBCD study, finding improved T2 correction and reduced operator workload.

This study examines how insulin resistance and age affect cerebral blood flow and glucose metabolism coupling in adults, finding altered coupling patterns in insulin-resistant individuals.

This paper develops a novel UTE 31P 3D MRSI acquisition and processing pipeline, demonstrating high repeatability across different clinical setups.

This paper introduces a variational Bayesian approach for cerebrovascular reactivity mapping using fMRI data and compares it to a standard GLM method, showing improved computational efficiency and handling of noisy voxels.

The paper introduces an open-source 3D-printable animal conditioning platform for preclinical brain imaging in awake and anesthetized mice and rats, demonstrating its use across multiple imaging modalities.

The paper introduces a universal dynamic MRS toolbox that simultaneously fits dynamic spectra, reducing parameter uncertainty and replicating prior studies.

The paper tests lactate shuttling in the human brain using hyperpolarized 13C-MRI and finds that reducing lactate saturation increases bicarbonate signal, indicating lactate conversion to pyruvate and oxidation.

This paper assesses how scanner motion affects brain age gap estimates using MRI data from two datasets, finding significant differences in predicted age with varying motion levels.

This study evaluates high-resolution arterial spin labelling MRI at 3 Tesla, showing improved SNR and reduced partial voluming compared to standard protocols.

This paper investigates how anatomical and vascular features of the human brain affect the temporal specificity of fMRI signals in the primary visual cortex.

This study develops a ME-EPI protocol for olfactory task-based fMRI, showing improved BOLD sensitivity over 1E-EPI through signal combination and artifact reduction.

This study evaluates the reliability of task-based fMRI in the human spinal cord, finding poor reliability of BOLD responses across days but good reliability of autonomic responses.