Advanced MRI Techniques and Applications

This study compares 7 T and 3 T fMRI responses in human brain regions during a decision-making task, finding greater 7 T benefits in subcortical areas like the brainstem.

The paper describes a pipeline for quantitative susceptibility and R2* mapping in post-mortem brains and compares results between ALS patients and controls using histology validation.

The paper analyzes weight sensitivity of temporal SNR metrics in multi-echo fMRI using a generalized Rayleigh quotient framework, showing high similarity in certain brain regions.

This paper develops an fMRI approach for whole-brain activity recording in behaving mice, demonstrating its use in complex tasks and reducing movement artefacts.

This paper demonstrates that perfusion-based in situ fixation of ex vivo brains preserves structural integrity and antigenicity, enabling accurate MRI and histological analysis up to 10 months post-mortem.

The paper describes a pre- and in-scan system to reduce head motion in pediatric fMRI scans, showing improved motion control with formal mock scans.

The paper develops methods for fMRI in awake infants, shares datasets and software, and provides recommendations for data collection and analysis.

The paper describes the quality assurance and quality control pipeline for multi-site MRI data in the ONDRI study, ensuring standardized data collection and high image quality.

The paper demonstrates how additional noninvasive MRI measurements can resolve ambiguities in the BOLD fMRI signal by distinguishing effects of caffeine on blood flow and oxygen metabolism.

The paper derives a ventral striatum-specific hemodynamic response function (VS-HRF) to improve statistical power in fMRI analysis of reward prediction error signals.

The paper introduces an anatomy-guided inverse-phase-encoding registration method to correct susceptibility artifacts in sub-millimeter fMRI, showing improved robustness and speed compared to existing methods.

This study evaluates if higher multiband (MB) acceleration improves BOLD signal detection in cognitive tasks, finding MB4 provides better group-level results than lower acceleration.

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

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.

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

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

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.

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

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.

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.

This study uses arterial spin labelling to investigate perfusion changes in patients with musculoskeletal pain during arm repositioning, finding increased perfusion in brain regions associated with pain processing.

The paper identifies five mechanisms of negative BOLD responses and develops a windkessel model to detect, classify, and estimate these mechanisms from fMRI data.

The paper quantifies how head movement affects GABA measurements in magnetic resonance spectroscopy and finds that movement parameters explain significant variance in GABA estimates.

This study investigates how motion and physiological noise affect amygdala real-time fMRI neurofeedback learning and finds that these factors do not drive self-regulation learning.

The paper compares BOLD responses in human and monkey visual cortex to single and spaced checkerboard stimuli, finding similar magnitude and shape, and linear summation at 4.5 sec ISI.

This paper introduces a denoising method for multi-site multimodal MRI data to remove scanner and site variability, improving statistical analysis and data integration.

Scanner manufacturer, model and even the individual machine leave detectable signatures in ABCD resting-state and task fMRI results; ComBat harmonization is reported to remove them.

This study compares decoding performance of visual orientation from 3T and 7T fMRI data, finding that 3T decoding is impaired but can be improved with additional voxel selection at 3mm resolution.

MRI2MRI transforms between brain MRI contrasts using a deep convolutional network, improving spatial registration across different imaging modalities.