Article
Psychology, Developmental
Benjamin T. Newman, James T. Patrie, T. Jason Druzgal
Summary: Puberty is a crucial period in adolescent development that affects various aspects of physiology, including the brain. This study analyzes diffusion MRI scans to examine the relationship between pubertal development and brain microstructure. The findings suggest that pubertal changes are associated with complex responses in brain tissue beyond traditional measures focusing on white matter axonal properties.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2023)
Article
Neurosciences
Lorna Bryant, Emilie T. McKinnon, James A. Taylor, Jens H. Jensen, Leonardo Bonilha, Christophe de Bezenac, Barbara A. K. Kreilkamp, Guleed Adan, Udo C. Wieshmann, Shubhabrata Biswas, Anthony G. Marson, Simon S. Keller
Summary: This study utilized FBI and FBWM to evaluate the diffusion properties of white matter tracts in patients with epilepsy. It was found that patients with chronic epilepsy had a widespread distribution of extra-axonal diffusivity, and those with refractory epilepsy exhibited significantly greater markers of extra-axonal diffusivity compared to nonrefractory epilepsy patients. These findings suggest that extra-axonal diffusivity alterations may serve as biomarkers of neuroinflammatory processes or reduced axonal density in epilepsy.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Melanie Spindler, Christiane M. Thiel
Summary: Detailed imaging of the hypothalamus is crucial for characterizing disease-induced tissue damages and abnormalities. Conventional anatomical magnetic resonance imaging lacks morphological detail, making precise segmentation of the hypothalamus challenging. Recent studies suggest that quantitative magnetic resonance imaging (qMRI) could improve segmentation of brain regions, but its application to the hypothalamus has not been tested extensively.
JOURNAL OF NEUROSCIENCE RESEARCH
(2022)
Article
Neurosciences
Matthew Kiely, Curtis Triebswetter, Luis E. Cortina, Zhaoyuan Gong, Maryam H. Alsameen, Richard G. Spencer, Mustapha Bouhrara
Summary: This study evaluated sex and age-related differences in white matter microstructure using diffusion tensor imaging (DTI) and magnetic resonance imaging (MRI). The results showed that myelin content and axonal density in white matter exhibited nonlinear changes with age, and the posterior white matter regions were more preserved from neurodegeneration compared to anterior regions. Additionally, DTI indices were moderately correlated with myelin content, indicating their sensitivity to other constituents of white matter tissue.
Article
Neurosciences
Ahmed M. Radwan, Stefan Sunaert, Kurt Schilling, Maxime Descoteaux, Bennett A. Landman, Mathieu Vandenbulcke, Tom Theys, Patrick Dupont, Louise Emsell
Summary: The virtual dissection of white matter using diffusion MRI tractography has poor reproducibility, but this study provides a comprehensive description of white matter anatomy using a reproducible automated subject-specific parcellation-based approach with probabilistic CSD tractography. The study demonstrates high inter-session similarity and provides a WM atlas that can be useful for mapping white matter fasciculi in healthy adults.
Article
Neurosciences
Hassna Irzan, Erika Molteni, Michael Hutel, Sebastien Ourselin, Neil Marlow, Andrew Melbourne
Summary: The study found significant alterations in white matter connectivity in extremely preterm young adults at both macro-and microstructural levels, with overall diminished connectivity but comparable spatial configuration of WM fibres with fewer WM fibres per voxel. These alterations are widespread throughout the brain, particularly concentrated along pathways between deep grey matter regions, frontal regions, and the cerebellum, indicating that white matter abnormalities persist into early adulthood in individuals exposed to the extrauterine environment prematurely.
Article
Multidisciplinary Sciences
Timothy R. Koscik, Ellen van der Plas, Laurie Gutmann, Sarah A. Cumming, Darren G. Monckton, Vincent Magnotta, Richard K. Shields, Peggy C. Nopoulos
Summary: The study found that white matter integrity in the brain is significantly related to grip strength and fine motor skills in DM1 patients. Fractional anisotropy was the strongest predictor of grip strength, while radial diffusivity predicted fine motor skills. Systemic white matter degradation may mediate the relationship between DM1 progression and genetic burden with motor outcomes.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hediye Pinar Gunbey, Arzu Ceylan Has, Kerim Aslan, Dilek Saglam, Ugur Avci, Asli Tanrivermis Sayit, Lutfi Incesu
Summary: This study investigated the effects of hypothyroidism on white matter integrity using TBSS, finding significant reductions in FA and AD, and an increase in RD in several WM tracts. The results suggest a demyelination process underlying the clinical aspects of hypothyroidism.
Article
Anesthesiology
Jeffrey T. Young, Roza M. Vlasova, Brittany R. Howell, Rebecca C. Knickmeyer, Elyse Morin, Kaela Kuitchoua, Gabriele R. Lubach, Jean Noel, Xiaoping Hu, Yundi Shi, Gibson Caudill, Andrew L. Alexander, Marc Niethammer, Merle G. Paule, Christopher L. Coe, Mar Sanchez, Martin Styner
Summary: The study showed that multiple exposures to anesthetics like ketamine, Telazol, and isoflurane can lead to significant changes in white matter microstructure of the developing primate brain, including reduced fractional anisotropy and increased diffusivity. These effects were dose-dependent and persisted even after accounting for age and sex factors.
BRITISH JOURNAL OF ANAESTHESIA
(2021)
Article
Immunology
Kalen J. Petersen, Jeremy Strain, Sarah Cooley, Florin Vaida, Beau M. Ances
Summary: Older persons with HIV may experience changes in brain white matter similar to accelerated aging, with viral load and comorbidities playing a role in this process. These changes in white matter can contribute to cognitive impairment.
JOURNAL OF INFECTIOUS DISEASES
(2022)
Article
Ophthalmology
Shumpei Ogawa, Hiromasa Takemura, Hiroshi Horiguchi, Atsushi Miyazaki, Kenji Matsumoto, Yoichiro Masuda, Keiji Yoshikawa, Tadashi Nakano
Summary: This study used a multi-contrast MRI approach to investigate the type of microstructural damage that occurs in patients with glaucoma, with significant differences found in both the OR and OT. The significant correlation between ICVF and qT1 suggests the possibility of myelin damage in severe cases.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2022)
Article
Neurosciences
Arash Nazeri, Zeljka Krsnik, Ivica Kostovi, Sung Min Ha, Janja Kopic, Dimitrios Alexopoulos, Sydney Kaplan, Dominique Meyer, Joan L. Luby, Barbara B. Warner, Cynthia E. Rogers, Deanna M. Barch, Joshua S. Shimony, Robert C. McKinstr, Jeffrey J. Neil, Christopher D. Smyser, Aristeidis Sotiras
Summary: This study used unsupervised multivariate pattern analysis to analyze a large sample of magnetic resonance imaging data, revealing coordinated patterns of white matter maturation during the early postnatal period and the contributions of microstructural indices. By comparing the findings with histological features, it provides a concise and effective representation of early postnatal white matter reorganization.
Article
Neurosciences
Elizabeth Huber, Aviv Mezer, Jason D. Yeatman
Summary: Diffusion MRI and quantitative MRI measurements were used to study changes in white matter during an 8-week intensive reading intervention, revealing that mean 'extra-axonal' diffusivity in white matter was inversely related to intervention time, while model estimated axonal water fraction, overall diffusion kurtosis, and T1 relaxation time showed no significant change. These results suggest that rapid changes in diffusion properties may reflect phenomena other than widespread changes in myelin density.
Article
Anatomy & Morphology
Victor Nozais, Guillaume Theaud, Maxime Descoteaux, Michel Thiebaut de Schotten, Laurent Petit
Summary: This article introduces a structural-functional approach, Functionnectome, which combines fMRI acquisition with tractography-derived white matter connectivity data to map cognitive processes onto the white matter. However, this approach faces three challenges, and the authors propose solutions and improve the characterization of white matter involvement.
BRAIN STRUCTURE & FUNCTION
(2023)
Article
Behavioral Sciences
Justine Daoust, Joelle Schaffer, Yashar Zeighami, Alain Dagher, Isabel Garcia-Garcia, Andreanne Michaud
Summary: Research has shown that individuals with obesity tend to have lower white matter integrity, particularly in the genu of the corpus callosum, a tract linking areas involved in executive function. Further studies are needed to explore the mechanisms linking obesity with loss of white matter integrity.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Neurosciences
Bibek Dhital, Marco Reisert, Elias Kellner, Valerij G. Kiselev
Review
Biophysics
Dmitry S. Novikov, Els Fieremans, Sune N. Jespersen, Valerij G. Kiselev
NMR IN BIOMEDICINE
(2019)
Article
Biochemical Research Methods
Valerij G. Kiselev
JOURNAL OF MAGNETIC RESONANCE
(2019)
Article
Clinical Neurology
E. Kellner, M. Reisert, V. G. Kiselev, C. J. Maurer, H. Urbach, K. Egger
JOURNAL OF NEURORADIOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marco Reisert, Valerij G. Kiselev, Bibek Dhital
MAGNETIC RESONANCE IN MEDICINE
(2019)
Editorial Material
Biochemical Research Methods
Valerij G. Kiselev
JOURNAL OF MAGNETIC RESONANCE
(2019)
Article
Biochemical Research Methods
Alexander Ruh, Valerij G. Kiselev
JOURNAL OF MAGNETIC RESONANCE
(2019)
Review
Radiology, Nuclear Medicine & Medical Imaging
Valerij G. Kiselev, Gregor Korzdorfer, Peter Gall
Summary: The challenge of quantitative MRI lies in the simplification applied in commonly used models of the MRI signal relation to biological tissues. Microstructure MRI and Magnetic Resonance Fingerprinting are two research fields experiencing exponential growth as ways to respond to this challenge. The synergy of these approaches promises truly quantitative MRI with specific target-oriented diagnostic tools.
INVESTIGATIVE RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiang Gao, Valerij G. Kiselev, Thomas Lange, Juergen Hennig, Maxim Zaitsev
Summary: An open-source spatially resolved phase graph framework is proposed for simulating arbitrary pulse sequences efficiently in three dimensions and estimating signal modulation. The framework's effectiveness is validated through several application examples showing its ability to analyze signal evolution in both frequency and spatial domain.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Biophysics
Mohammad Khateri, Marco Reisert, Alejandra Sierra, Jussi Tohka, Valerij G. Kiselev
Summary: Filter-exchange imaging (FEXI) is a method used for evaluating the permeability of cell membranes, relying on suppressing extracellular signals and monitoring diffusivity recovery. Monte Carlo simulations show that FEXI is sensitive to both transcytolemmal exchange and compartment geometry.
NMR IN BIOMEDICINE
(2022)
Article
Biophysics
Anders Dyhr Sandgaard, Noam Shemesh, Valerij G. Kiselev, Sune Norhoj Jespersen
Summary: The magnetic susceptibility of tissue provides information about its chemical composition and microstructural organization, but the relationship between magnetic microstructure and the measurable Larmor frequency shift is only understood for a few idealized cases. In this study, we analyzed the microstructure formed by magnetized, NMR-invisible infinite cylinders in an NMR-reporting fluid. We examined various geometries of mesoscopic Lorentz cavities and inclusions through simulations, and found that the cavity size should be approximately one order of magnitude larger than the width of the inclusions. We also derived the Larmor frequency shift for a population of cylinders with arbitrary orientation dispersion and found that it depends on the Laplace expansion coefficients p2m of the cylinders' orientation distribution function. Our work emphasizes the importance of considering microstructural organization when estimating magnetic tissue properties.
NMR IN BIOMEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Christopher Nelson, Andreas B. Schmidt, Isaiah Adelabu, Shiraz Nantogma, Valerij G. Kiselev, Abubakar Abdurraheem, Henri de Maissin, Soeren Lehmkuhl, Stephan Appelt, Thomas Theis, Eduard Y. Chekmenev
Summary: The feasibility of Carbon-13 Radiofrequency (RF) Amplification by Stimulated Emission of Radiation (C-13 RASER) is demonstrated on a bolus of liquid hyperpolarized ethyl [1-C-13]acetate. The study successfully observed C-13 RASER signals and demonstrated its potential application on biomolecular carriers.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anders Dyhr Sandgaard, Noam Shemesh, Sune Norhoj Jespersen, Valerij G. Kiselev
Summary: Estimating magnetic susceptibility using MRI relies on inverting the relationship between susceptibility and measured Larmor frequency. This study tests the impact of accounting for the constraint that Larmor frequency is only measured inside the sample and susceptibility sources should only reside inside the same sample.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Clinical Neurology
Urs Wuertemberger, Daniel Erny, Alexander Rau, Jonas A. Hosp, Veysel Akguen, Marco Reisert, Valerij G. Kiselev, Jurgen Beck, Sonja Jankovic, Peter C. Reinacher, Marc Hohenhaus, Horst Urbach, Martin Diebold, Theo Demerath
Summary: The study successfully differentiated glioblastomas and brain metastases using advanced diffusion techniques and structural histopathology. Analysis of microstructural features in the contrast-enhancing tumor components served as imaging biomarkers for distinguishing these tumor entities.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Neuroimaging
Alexander Rau, Elias Kellner, Niels A. Foit, Niklas Luetzen, Dieter H. Heiland, Andreas Schulze-Bonhage, Marco Reisert, Valerij G. Kiselev, Marco Prinz, Horst Urbach, Irina Mader
NEURORADIOLOGY JOURNAL
(2019)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.