Topic · Radiology, Nuclear Medicine and Imaging · Medicine
Advanced MRI Techniques and Applications
OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.
786 papers
Comparison of BOLD and CBV using 3D EPI and 3D GRASE for cortical layer fMRI at 7T.
Alexander J. S. Beckett, Tetiana Dadakova, Jennifer D. Townsend, Laurentius Huber, Suhyung Park, David A. Feinberg
This study compares CBV and BOLD imaging techniques for cortical layer fMRI, finding both offer similar specificity and sensitivity for mesoscopic imaging.
Magnetic Resonance in Medicine · Jun 18, 2020Peer-reviewedNeuroscience
Automated characterization of noise distributions in diffusion MRI data
Samuel St‐Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans
This paper introduces automated methods to estimate noise distributions in diffusion MRI data using Gamma distribution moments and maximum likelihood, showing improved accuracy over Rician assumptions.
Medical Image Analysis · Jun 17, 2020Peer-reviewedNeuroscience
Analysis of task-based functional MRI data preprocessed with fMRIPrep
Oscar Estéban, Rastko Ćirić, Karolina Finc, Ross W. Blair, Christopher Johnson Markiewicz, Craig A. Moodie, James Doliver Kent, Mathias Goncalves, Elizabeth DuPré, Daniel E. P. Gomez, Zhifang Ye, Taylor Salo, Romain Valabrègue, Inge K. Amlien, Franziskus Liem, , Krzysztof J. Gorgolewski
This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.
Nature Protocols · Jun 8, 2020Peer-reviewedBioinformatics
ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies
Henk J. M. M. Mutsaerts, Jan Petr, Paul F. C. Groot, Pieter Vandemaele, Silvia Ingala, Andrew D. Robertson, Lena Václavů, Inge Rasmus Groote, Hugo J. Kuijf, Fernando O. Zelaya, Owen O’Daly, Saima Hilal, Alle Meije Wink, Ilse M.J. Kant, Matthan W.A. Caan, , Frederik Barkhof
ExploreASL provides a standardized image processing pipeline for multi-center ASL MRI studies, improving reproducibility and enabling group-level statistical analysis across diverse clinical populations.
NeuroImage · Jun 8, 2020Peer-reviewedNeuroscience
Head motion during fMRI tasks is reduced in children and adults if participants take breaks
Tobias W. Meissner, Jon Walbrin, Marisa Nordt, Kami Koldewyn, Sarah Weigelt
This study shows that splitting fMRI data acquisition into multiple sessions reduces head motion in children and breaks reduce motion in adults, but motion still increases over time in both groups.
Developmental Cognitive Neuroscience · May 29, 2020Peer-reviewedNeuroscience
Physiological Gaussian Process Priors for the Hemodynamics in fMRI Analysis
Josef Wilzén, Anders Eklund, Mattias Villani
This paper introduces a Bayesian model for fMRI analysis that uses Gaussian process priors to estimate brain activity and hemodynamics without assuming a linear time-invariant system.
Journal of Neuroscience Methods · May 29, 2020Peer-reviewedNeuroscience
Multiband acceleration can provide moderate improvements in single-subject voxel-wise statistics in block-design task-based fMRI
Ritu Bhandari, Valeria Gazzola, Christian Keysers
This study shows that MB4 acceleration improves single-subject voxel-wise statistics in fMRI, with moderate effect sizes in the action observation network, but may over-penalize temporal autocorrelation.
bioRxiv · May 26, 2020 · PreprintNeuroscience
Differential effects of aquaporin-4 channel inhibition on BOLD fMRI and Diffusion fMRI responses in rat visual cortex
Yuji Komaki, Clément Debacker, Boucif Djemaï, Luisa Ciobanu, Tomokazu Tsurugizawa, Denis Le Bihan
This study examines how inhibiting aquaporin-4 channels affects BOLD and diffusion fMRI responses in rat visual cortex, showing increased BOLD amplitude but no change in diffusion responses.
PLoS ONE · May 21, 2020Peer-reviewedNeuroscience
Evaluation and Optimization of Motion Correction in Spinal Cord fMRI Preprocessing
Hamed Dehghani, Kenneth Arnold Weber II, Seyed Amir Hossein Batouli, Mohammad Ali Oghabian, Ali Khatibi
This study evaluates motion correction methods for spinal cord fMRI, finding that 3D FLIRT with slice-wise regularization improves tSNR and reduces motion artifacts.
bioRxiv · May 20, 2020 · PreprintNeuroscience
Arterial blood contrast (ABC) enabled by magnetization transfer (MT): a novel MRI technique for enhancing the measurement of brain activation changes
Jenni Schulz, Zahra A. Fazal, Riccardo Metere, José P. Marques, David Gordon Norris
This paper introduces arterial blood contrast (ABC) as a novel MRI technique that enhances brain activation measurement by combining magnetization transfer with BOLD contrast, offering improved efficiency and spatial specificity.
bioRxiv · May 20, 2020 · PreprintNeuroscience
High-Resolution Metabolic Mapping of the Cerebellum Using a Reduced Field of View (Zoomed) Magnetic Resonance Spectroscopic Imaging
Uzay E. Emir, Jaiyta Sood, Mark Chiew, Albert Thomas, Sean P. Lane
This study develops a high-resolution MRSI technique for the cerebellum, enabling detailed metabolic mapping with improved spatial resolution and reduced artifacts.
bioRxiv · May 20, 2020 · PreprintNeuroscience
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps
Tristan Deruelle, Frank Kober, Teodora‐Adriana Perles‐Barbacaru, Thierry Delzescaux, Vincent Noblet, Emmanuel Barbier, Michel Dojat
This study demonstrates a multicenter preclinical MRI study using rat brains to create relaxometry reference maps by analyzing T1 and T2 maps across different imaging centers and processing pipelines.
Frontiers in Neuroinformatics · May 19, 2020Peer-reviewedNeuroscience
Comparing fMRI responses measured at 3 versus 7 Tesla across human cortex, striatum, and brainstem
Olympia Colizoli, Jan Willem de Gee, Wietske van der Zwaag, Tobias H. Donner
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.
bioRxiv · May 12, 2020 · PreprintNeuroscience
Cerebral Metabolic Changes during Visuomotor Adaptation Assessed using Quantitative FMRI
Catherine Foster, Jessica J. Steventon, Daniel Helme, Valentina Tomassini, Richard G. Wise
This study uses calibrated fMRI to examine metabolic and blood flow changes during visuomotor adaptation in healthy humans, finding that CMRO2 decreases faster than BOLD or CBF but the flow-metabolism coupling ratio remains stable.
Frontiers in Physiology · May 8, 2020Peer-reviewedNeuroscience
Methods for quantitative susceptibility and R2* mapping in whole post-mortem brains at 7T
Chaoyue Wang, Sean Foxley, Olaf Ansorge, Sarah Bangerter-Christensen, Mark Chiew, Anna Leonte, Ricarda Menke, Jeroen Mollink, Menuka M. Pallebage‐Gamarallage, Martin R. Turner, Karla L. Miller, Benjamin C. Tendler
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.
bioRxiv · May 7, 2020 · PreprintNeuroscience
Most small cerebral cortical veins demonstrate significant flow pulsatility: a human phase contrast MRI study at 7T
Ian D. Driver, Maarika Traat, Fabrizio Fasano, Richard G. Wise
The paper uses phase contrast MRI at 7T to show that most small cerebral cortical veins have significant flow pulsatility, introducing an automated method to detect this.
Frontiers in Neuroscience · May 5, 2020Peer-reviewedNeuroscience
Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses
Luca Vizioli, Federico De Martino, Lucy S. Petro, Daniel Kersten, Kǎmil Uǧurbil, Essa S. Yacoub, Lars F. Muckli
The paper evaluates the spatial precision of stimulus-specific BOLD responses using MVPA across cortical depths in V1, finding that multivoxel patterns can achieve sub-millimeter resolution.
Scientific Reports · May 5, 2020Peer-reviewedNeuroscience
Rapid event-related, BOLD, NHP: choose two out of three
Vassilis Pelekanos, Robert M. Mok, Olivier Joly, Matthew Ainsworth, Diana A. Kyriazis, Maria G. Kelly, Andrew H. Bell, Nikolaus Kriegeskorte
The paper investigates rER BOLD fMRI in NHP, finding that while individual elements work well, their combination is challenging due to noise and motion artifacts.
Scientific Reports · May 4, 2020Peer-reviewedNeuroscience
Multi-parametric quantitative spinal cord MRI with unified signal readout and image denoising
Francesco Grussu, Marco Battiston, Jelle Veraart, Torben Schneider, Julien Cohen‐Adad, Timothy M. Shepherd, Daniel C. Alexander, Els Fieremans, Dmitry S. Novikov, Claudia A. M. Gandini Wheeler‐Kingshott
This paper introduces a unified signal readout approach for multi-parametric spinal cord MRI, combined with MP-PCA denoising, improving the quality and consistency of microstructural metrics.
NeuroImage · Apr 29, 2020Peer-reviewedNeuroscience
High-resolution MEMRI characterizes laminar specific ascending and descending spinal cord pathways in rats
Vijai Krishnan, Jiadi Xu, Albert German Mendoza, Alan P. Koretsky, Stasia A. Anderson, Galit Pelled
This study uses MEMRI to visualize laminar-specific spinal cord pathways in rats, showing T1 signal enhancement in specific laminae after MnCl2 administration.
Journal of Neuroscience Methods · Apr 23, 2020Peer-reviewedNeuroscience
Weight Sensitivity of Temporal SNR Metrics in multi-echo fMRI
Thomas T. Liu, Bochao Li, Conan Chen, Brice Fernandez, Baolian Yang, Suchandrima Banerjee
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.
bioRxiv · Apr 20, 2020 · PreprintNeuroscience
Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity
Caterina Gratton, Ally Dworetsky, Rebecca S. Coalson, Babatunde Adeyemo, Timothy O. Laumann, Gagan S. Wig, Tania S. Kong, Gabriele Gratton, Monica Fabiani, Deanna M. Barch, Daniel Tranel, Óscar Miranda-Domínguez, Damien A. Fair, Nico U.F. Dosenbach, Abraham Z. Snyder, , Meghan C. Campbell
This paper identifies and removes high-frequency motion artifacts in single-band fMRI data, improving motion estimates and reducing data loss without biasing functional connectivity.
NeuroImage · Apr 20, 2020Peer-reviewedNeuroscience
Functional MRI of large scale activity in behaving mice
Madalena S. Fonseca, Mattia G. Bergomi, Zachary F. Mainen, Noam Shemesh
This paper develops an fMRI approach for whole-brain activity recording in behaving mice, demonstrating its use in complex tasks and reducing movement artefacts.
bioRxiv · Apr 16, 2020 · PreprintNeuroscience
Proof of concept of a novel ex vivo, in situ method for MRI and histological brain assessment
Josefina Maranzano, Mahsa Dadar, Antony Bertrand‐Grenier, Éve‐Marie Frigon, Johanne Pellerin, Sophie Plante, Simon Duchesne, Christine Lucas Tardif, Denis Boire, Gilles Bronchti
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.
bioRxiv · Apr 8, 2020 · PreprintNeuroscience
Weight loss reduces head motion: re-visiting a major confound in neuroimaging
Frauke Beyer, Kristin Prehn, Katharina Annick Wüsten, Arno Villringer, Jürgen Ordemann, Agnes Flöel, A. Veronica Witte
This study shows weight loss reduces head motion during MRI, suggesting potential biases in neuroimaging outcomes related to obesity.
Human Brain Mapping · Apr 2, 2020Peer-reviewedNeuroscience
A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2)
Michael A. Germuska, Hannah Louise Chandler, Thomas W. Okell, Fabrizio Fasano, Valentina Tomassini, Kevin Murphy, Richard G. Wise
This paper introduces a machine learning method for dual-calibrated fMRI to estimate OEF and CMRO2, showing reduced computation time, error, and bias compared to existing methods.
Frontiers in Artificial Intelligence · Mar 31, 2020Peer-reviewedNeuroscience
Temporal signal-to-noise changes in combined multiband- and slice-accelerated echo-planar imaging with a 20- and 64-channel coil
Philipp Seidel, Seth M. Levine, Marlene Tahedl, Jens Volkmar Schwarzbach
The paper evaluates how temporal signal-to-noise ratio (tSNR) changes with different acceleration techniques in EPI, showing that multiband acceleration has less impact on tSNR than slice acceleration.
Scientific Reports · Mar 26, 2020Peer-reviewedNeuroscience
Cerebrovascular reactivity assessment with O2-CO2 exchange ratio under brief breath hold challenge
Suk‐Tak Chan, Karleyton C. Evans, Tian-yue Song, Juliette J. Selb, Andre J. W. van der Kouwe, Bruce Robert Rosen, Yong‐Ping Zheng, Andrew C. Ahn, Kenneth K. Kwong
The paper assesses cerebrovascular reactivity using the O2-CO2 exchange ratio during breath hold challenges and finds it better correlates with CBF changes than individual PCO2 or PO2 changes.
PLoS ONE · Mar 24, 2020Peer-reviewedNeuroscience
Inter-slice leakage and intra-slice aliasing in simultaneous multi-slice echo-planar images
Carolyn Beth McNabb, Michael Lindner, Shan Shen, Laura Grace Burgess, Kou Murayama, Tom Johnstone
This study investigates eye movement artefacts in simultaneous multi-slice fMRI data and shows that artefact severity depends on the phase-encoding direction.
Brain Structure and Function · Mar 5, 2020Peer-reviewedNeuroscience