Literature DB >> 23756203

Using high-resolution quantitative mapping of R1 as an index of cortical myelination.

Antoine Lutti1, Frederic Dick2, Martin I Sereno3, Nikolaus Weiskopf4.   

Abstract

A fundamental tenet of neuroscience is that cortical functional differentiation is related to the cross-areal differences in cyto-, receptor-, and myeloarchitectonics that are observed in ex-vivo preparations. An ongoing challenge is to create noninvasive magnetic resonance (MR) imaging techniques that offer sufficient resolution, tissue contrast, accuracy and precision to allow for characterization of cortical architecture over an entire living human brain. One exciting development is the advent of fast, high-resolution quantitative mapping of basic MR parameters that reflect cortical myeloarchitecture. Here, we outline some of the theoretical and technical advances underlying this technique, particularly in terms of measuring and correcting for transmit and receive radio frequency field inhomogeneities. We also discuss new directions in analytic techniques, including higher resolution reconstructions of the cortical surface. We then discuss two recent applications of this technique. The first compares individual and group myelin maps to functional retinotopic maps in the same individuals, demonstrating a close relationship between functionally and myeloarchitectonically defined areal boundaries (as well as revealing an interesting disparity in a highly studied visual area). The second combines tonotopic and myeloarchitectonic mapping to localize primary auditory areas in individual healthy adults, using a similar strategy as combined electrophysiological and post-mortem myeloarchitectonic studies in non-human primates.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anatomy; Auditory; MRI; Myelin; Myeloarchitecture; Quantitative; R1; T1; Visual

Mesh:

Year:  2013        PMID: 23756203     DOI: 10.1016/j.neuroimage.2013.06.005

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


  133 in total

1.  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

2.  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 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.  Comparing functional MRI protocols for small, iron-rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T.

Authors:  Gilles de Hollander; Max C Keuken; Wietske van der Zwaag; Birte U Forstmann; Robert Trampel
Journal:  Hum Brain Mapp       Date:  2017-03-27       Impact factor: 5.038

Review 5.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

6.  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

7.  Evolution of white matter tract microstructure across the life span.

Authors:  David A Slater; Lester Melie-Garcia; Martin Preisig; Ferath Kherif; Antoine Lutti; Bogdan Draganski
Journal:  Hum Brain Mapp       Date:  2019-01-23       Impact factor: 5.038

8.  Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease.

Authors:  Maya A Jastrzębowska; Renaud Marquis; Lester Melie-García; Antoine Lutti; Ferath Kherif; Michael H Herzog; Bogdan Draganski
Journal:  Hum Brain Mapp       Date:  2019-07-10       Impact factor: 5.038

9.  Cortical fibers orientation mapping using in-vivo whole brain 7 T diffusion MRI.

Authors:  Omer F Gulban; Federico De Martino; An T Vu; Essa Yacoub; Kamil Uğurbil; Christophe Lenglet
Journal:  Neuroimage       Date:  2018-05-10       Impact factor: 6.556

10.  Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke.

Authors:  Iris Yuwen Zhou; Yingkun Guo; Takahiro Igarashi; Yu Wang; Emiri Mandeville; Suk-Tak Chan; Lingyi Wen; Mark Vangel; Eng H Lo; Xunming Ji; Phillip Zhe Sun
Journal:  NMR Biomed       Date:  2016-10-03       Impact factor: 4.044

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