Literature DB >> 24607447

Myelin and iron concentration in the human brain: a quantitative study of MRI contrast.

Carsten Stüber1, Markus Morawski2, Andreas Schäfer3, Christian Labadie4, Miriam Wähnert5, Christoph Leuze6, Markus Streicher7, Nirav Barapatre8, Katja Reimann9, Stefan Geyer10, Daniel Spemann11, Robert Turner12.   

Abstract

During the last five years ultra-high-field magnetic resonance imaging (MRI) has enabled an unprecedented view of living human brain. Brain tissue contrast in most MRI sequences is known to reflect mainly the spatial distributions of myelin and iron. These distributions have been shown to overlap significantly in many brain regions, especially in the cortex. It is of increasing interest to distinguish and identify cortical areas by their appearance in MRI, which has been shown to be feasible in vivo. Parcellation can benefit greatly from quantification of the independent contributions of iron and myelin to MRI contrast. Recent studies using susceptibility mapping claim to allow such a separation of the effects of myelin and iron in MRI. We show, using post-mortem human brain tissue, that this goal can be achieved. After MRI scanning of the block with appropriate T1 mapping and T2* weighted sequences, we section the block and apply a novel technique, proton induced X-ray emission (PIXE), to spatially map iron, phosphorus and sulfur elemental concentrations, simultaneously with 1μm spatial resolution. Because most brain phosphorus is located in myelin phospholipids, a calibration step utilizing element maps of sulfur enables semi-quantitative ex vivo mapping of myelin concentration. Combining results for iron and myelin concentration in a linear model, we have accurately modeled MRI tissue contrasts. Conversely, iron and myelin concentrations can now be estimated from appropriate MRI measurements in post-mortem brain samples.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Magnetic susceptibility; PIXE; Phosphorus; Simulations

Mesh:

Substances:

Year:  2014        PMID: 24607447     DOI: 10.1016/j.neuroimage.2014.02.026

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  197 in total

1.  High-resolution imaging of distinct human corpus callosum microstructure and topography of structural connectivity to cortices at high field.

Authors:  Byeong-Yeul Lee; Xiao-Hong Zhu; Xiufeng Li; Wei Chen
Journal:  Brain Struct Funct       Date:  2018-12-03       Impact factor: 3.270

2.  Observation of Reduced Homeostatic Metabolic Activity and/or Coupling in White Matter Aging.

Authors:  Valerie C Anderson; Ian J Tagge; Xin Li; Joseph F Quinn; Jeffrey A Kaye; Dennis N Bourdette; Rebecca I Spain; Louis P Riccelli; Manoj K Sammi; Charles S Springer; William D Rooney
Journal:  J Neuroimaging       Date:  2020-06-17       Impact factor: 2.486

Review 3.  Neurotoxicity Linked to Dysfunctional Metal Ion Homeostasis and Xenobiotic Metal Exposure: Redox Signaling and Oxidative Stress.

Authors:  Carla Garza-Lombó; Yanahi Posadas; Liliana Quintanar; María E Gonsebatt; Rodrigo Franco
Journal:  Antioxid Redox Signal       Date:  2018-03-28       Impact factor: 8.401

4.  Regional growth trajectories of cortical myelination in adolescents and young adults: longitudinal validation and functional correlates.

Authors:  Dongjin Kwon; Adolf Pfefferbaum; Edith V Sullivan; Kilian M Pohl
Journal:  Brain Imaging Behav       Date:  2020-02       Impact factor: 3.978

5.  Longitudinal Development of Brain Iron Is Linked to Cognition in Youth.

Authors:  Bart Larsen; Josiane Bourque; Tyler M Moore; Azeez Adebimpe; Monica E Calkins; Mark A Elliott; Ruben C Gur; Raquel E Gur; Paul J Moberg; David R Roalf; Kosha Ruparel; Bruce I Turetsky; Simon N Vandekar; Daniel H Wolf; Russell T Shinohara; Theodore D Satterthwaite
Journal:  J Neurosci       Date:  2020-01-27       Impact factor: 6.167

6.  The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Authors:  Antonios Makropoulos; Emma C Robinson; Andreas Schuh; Robert Wright; Sean Fitzgibbon; Jelena Bozek; Serena J Counsell; Johannes Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; Tencho Tenev; Eugene P Duff; Matteo Bastiani; Lucilio Cordero-Grande; Emer Hughes; Nora Tusor; Jacques-Donald Tournier; Jana Hutter; Anthony N Price; Rui Pedro A G Teixeira; Maria Murgasova; Suresh Victor; Christopher Kelly; Mary A Rutherford; Stephen M Smith; A David Edwards; Joseph V Hajnal; Mark Jenkinson; Daniel Rueckert
Journal:  Neuroimage       Date:  2018-01-31       Impact factor: 6.556

7.  Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines.

Authors:  Jonathan S Bain; Jason D Yeatman; Roey Schurr; Ariel Rokem; Aviv A Mezer
Journal:  Hum Brain Mapp       Date:  2019-05-20       Impact factor: 5.038

Review 8.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

9.  Evaluating quantitative proton-density-mapping methods.

Authors:  Aviv Mezer; Ariel Rokem; Shai Berman; Trevor Hastie; Brian A Wandell
Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

10.  Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood.

Authors:  Efstathios D Gennatas; Brian B Avants; Daniel H Wolf; Theodore D Satterthwaite; Kosha Ruparel; Rastko Ciric; Hakon Hakonarson; Raquel E Gur; Ruben C Gur
Journal:  J Neurosci       Date:  2017-04-21       Impact factor: 6.167

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