Literature DB >> 23036446

Optimizing T1-weighted imaging of cortical myelin content at 3.0 T.

Nicholas A Bock1, Eyesha Hashim, Rafal Janik, Norman B Konyer, Marcel Weiss, Greg J Stanisz, Robert Turner, Stefan Geyer.   

Abstract

With increases in the sensitivity and resolution of anatomical MRI for the brain, methods for mapping the organization of the cerebral cortex by imaging its myelin content have emerged. This identifies major sensory and motor regions and could be used in studies of cortical organization, particularly if patterns of myelination can be visualized over the cortical surface robustly in individual subjects. The imaging problem is difficult, however, because of the relative thinness of the cerebral cortex and the low intracortical tissue contrast. In this paper, we optimize the contrast of T(1)-weighted MRI to help better visualize patterns of myelination. We measure a small but statistically significant difference in T(1) of 171 ± 40 ms between cortical regions with low and high myelin contents in the human cortex at 3T, and then perform simulations to choose parameters for an inversion-recovery pulse sequence that utilizes this T(1) difference to increase contrast within the cortex. We show that lengthening the delay between signal acquisition and the next inversion pulse in the sequence increases intracortical contrast more effectively than does image averaging. Using the optimized sequence, we show that major myelinated regions that are relatively thick, such as the primary motor and auditory regions, can be visualized well in individuals at 3T using whole-cortex 3D images made at 1mm isotropic resolution, while thinner regions, such as the primary visual cortex, can be visualized using targeted 3D images made at 0.5mm isotropic resolution. Our findings demonstrate that patterns of myelination can be better visualized in individual subjects when the imaging is optimized to highlight intracortical contrast and can help to pave the way for the creation of matched maps of microanatomy and function in the cortex of living individual humans.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23036446     DOI: 10.1016/j.neuroimage.2012.09.051

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


  26 in total

1.  Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7T.

Authors:  Thomas Tourdias; Manojkumar Saranathan; Ives R Levesque; Jason Su; Brian K Rutt
Journal:  Neuroimage       Date:  2013-09-07       Impact factor: 6.556

2.  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

Review 3.  Inferring brain tissue composition and microstructure via MR relaxometry.

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

4.  Accurate cortical tissue classification on MRI by modeling cortical folding patterns.

Authors:  Hosung Kim; Benoit Caldairou; Ji-Wook Hwang; Tommaso Mansi; Seok-Jun Hong; Neda Bernasconi; Andrea Bernasconi
Journal:  Hum Brain Mapp       Date:  2015-06-03       Impact factor: 5.038

5.  Age-related mapping of intracortical myelin from late adolescence to middle adulthood using T1 -weighted MRI.

Authors:  Christopher D Rowley; Manpreet Sehmbi; Pierre-Louis Bazin; Christine L Tardif; Luciano Minuzzi; Benicio N Frey; Nicholas A Bock
Journal:  Hum Brain Mapp       Date:  2017-04-30       Impact factor: 5.038

6.  High-Resolution Mapping of Myeloarchitecture In Vivo: Localization of Auditory Areas in the Human Brain.

Authors:  Federico De Martino; Michelle Moerel; Junqian Xu; Pierre-Francois van de Moortele; Kamil Ugurbil; Rainer Goebel; Essa Yacoub; Elia Formisano
Journal:  Cereb Cortex       Date:  2014-07-03       Impact factor: 5.357

7.  Gray matter myelination of 1555 human brains using partial volume corrected MRI images.

Authors:  Rebecca Shafee; Randy L Buckner; Bruce Fischl
Journal:  Neuroimage       Date:  2014-11-01       Impact factor: 6.556

8.  Age-related deficits in intracortical myelination in young adults with bipolar disorder type I

Authors:  Manpreet Sehmbi; Christopher D. Rowley; Luciano Minuzzi; Flavio Kapczinski; Jacek M. Kwiecien; Nicholas A. Bock; Benicio N. Frey
Journal:  J Psychiatry Neurosci       Date:  2019-03-01       Impact factor: 6.186

9.  Effect of in-painting on cortical thickness measurements in multiple sclerosis: A large cohort study.

Authors:  Koushik A Govindarajan; Sushmita Datta; Khader M Hasan; Sangbum Choi; Mohammad H Rahbar; Stacey S Cofield; Gary R Cutter; Fred D Lublin; Jerry S Wolinsky; Ponnada A Narayana
Journal:  Hum Brain Mapp       Date:  2015-06-19       Impact factor: 5.038

Review 10.  Trends and properties of human cerebral cortex: correlations with cortical myelin content.

Authors:  Matthew F Glasser; Manu S Goyal; Todd M Preuss; Marcus E Raichle; David C Van Essen
Journal:  Neuroimage       Date:  2013-04-06       Impact factor: 6.556

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