Literature DB >> 26455795

A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.

Miriam D Waehnert1, Juliane Dinse2, Andreas Schäfer1, Stefan Geyer1, Pierre-Louis Bazin3, Robert Turner1, Christine Lucas Tardif4.   

Abstract

Structural magnetic resonance imaging can now resolve laminar features within the cerebral cortex in vivo. A variety of intracortical contrasts have been used to study the cortical myeloarchitecture with the purpose of mapping cortical areas in individual subjects. In this article, we first briefly review recent advances in MRI analysis of cortical microstructure to portray the potential and limitations of the current state-of-the-art. We then present an integrated framework for the analysis of intracortical structure, composed of novel image processing tools designed for high resolution cortical images. The main features of our framework are the segmentation of quantitative T1 maps to delineate the cortical boundaries (Bazin et al., 2014), and the use of an equivolume layering model to define an intracortical coordinate system that follows the anatomical layers of the cortex (Waehnert et al., 2014). We evaluate the framework with 150μm isotropic post mortem T2(∗)-weighted images and 0.5mm isotropic in vivo T1 maps, a quantitative index of myelin content. We study the laminar structure of the primary visual cortex (Brodmann area 17) in the post mortem and in vivo data, as well as the central sulcus region in vivo, in particular Brodmann areas 1, 3b and 4. We also investigate the impact of the layering models on the relationship between T1 and cortical curvature. Our experiments demonstrate that the equivolume intracortical surfaces and transcortical profiles best reflect the laminar structure of the cortex in areas of curvature in comparison to the state-of-the-art equidistant and Laplace implementations. This framework generates a subject specific intracortical coordinate system, the basis for subsequent architectonic analyses of the cortex. Any structural or functional contrast co-registered to the T1 maps, used to segment the cortex, can be sampled on the curved grid for analysis. This work represents an important step towards in vivo structural brain mapping of individual subjects.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Brain mapping; Cortical profile; Cortical surface; High resolution MRI; Intracortical structure; Myeloarchitecture

Mesh:

Year:  2015        PMID: 26455795     DOI: 10.1016/j.neuroimage.2015.10.001

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


  31 in total

1.  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

2.  Dynamic endophenotypes and longitudinal trajectories: capturing changing aspects of development in early psychosis.

Authors:  Jai L Shah; M Mallar Chakravarty; Ridha Joober; Martin Lepage
Journal:  J Psychiatry Neurosci       Date:  2016-04       Impact factor: 6.186

Review 3.  Microstructural parcellation of the human brain.

Authors:  Bruce Fischl; Martin I Sereno
Journal:  Neuroimage       Date:  2018-02-26       Impact factor: 6.556

4.  Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging.

Authors:  Emma Sprooten; Rafael O'Halloran; Juliane Dinse; Won Hee Lee; Dominik Andreas Moser; Gaelle Eve Doucet; Morgan Goodman; Hannah Krinsky; Alejandro Paulino; Alexander Rasgon; Evan Leibu; Priti Balchandani; Matilde Inglese; Sophia Frangou
Journal:  Neuroimage       Date:  2018-10-09       Impact factor: 6.556

5.  Inter-subject Registration of Functional Images: Do We Need Anatomical Images?

Authors:  Elvis Dohmatob; Gael Varoquaux; Bertrand Thirion
Journal:  Front Neurosci       Date:  2018-02-14       Impact factor: 4.677

Review 6.  Analysis strategies for high-resolution UHF-fMRI data.

Authors:  Jonathan R Polimeni; Ville Renvall; Natalia Zaretskaya; Bruce Fischl
Journal:  Neuroimage       Date:  2017-04-29       Impact factor: 6.556

7.  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

8.  Point-spread function of the BOLD response across columns and cortical depth in human extra-striate cortex.

Authors:  Alessio Fracasso; Serge O Dumoulin; Natalia Petridou
Journal:  Prog Neurobiol       Date:  2021-03-16       Impact factor: 10.885

9.  Neurobiological origin of spurious brain morphological changes: A quantitative MRI study.

Authors:  Sara Lorio; Ferath Kherif; Anne Ruef; Lester Melie-Garcia; Richard Frackowiak; John Ashburner; Gunther Helms; Antoine Lutti; Bodgan Draganski
Journal:  Hum Brain Mapp       Date:  2016-02-15       Impact factor: 5.038

10.  Examining the Boundary Sharpness Coefficient as an Index of Cortical Microstructure in Autism Spectrum Disorder.

Authors:  Emily Olafson; Saashi A Bedford; Gabriel A Devenyi; Raihaan Patel; Stephanie Tullo; Min Tae M Park; Olivier Parent; Evdokia Anagnostou; Simon Baron-Cohen; Edward T Bullmore; Lindsay R Chura; Michael C Craig; Christine Ecker; Dorothea L Floris; Rosemary J Holt; Rhoshel Lenroot; Jason P Lerch; Michael V Lombardo; Declan G M Murphy; Armin Raznahan; Amber N V Ruigrok; Michael D Spencer; John Suckling; Margot J Taylor; Meng-Chuan Lai; M Mallar Chakravarty
Journal:  Cereb Cortex       Date:  2021-06-10       Impact factor: 5.357

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