Title
A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.
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.
Year
DOI
Venue
2016
10.1016/j.neuroimage.2015.10.001
NeuroImage
Keywords
Field
DocType
Intracortical structure,High resolution MRI,Cortical profile,Cortical surface,Brain mapping,Myeloarchitecture
Brain mapping,Cortex (botany),Brodmann area,Neuroscience,Visual cortex,Segmentation,Image processing,Psychology,Cerebral cortex,Central sulcus
Journal
Volume
ISSN
Citations 
125
1053-8119
22
PageRank 
References 
Authors
0.77
32
7
Name
Order
Citations
PageRank
Miriam Wähnert11173.84
Juliane Dinse21668.21
Andreas Schäfer31869.64
Stefan Geyer41577.31
Pierre-Louis Bazin561142.52
R. Turner61181351.80
Christine L. Tardif7654.83