Literature DB >> 14642460

Geometric atlas: modeling the cortex as an organized surface.

Roberto Toro1, Yves Burnod.   

Abstract

Recent atlases of the cortical surface are based on a modelization of the cerebral cortex as a topological sphere. This captures effectively its organization as a regular bidimensional sheet of layers parallel to the surface and with perpendicular cortical columns. Yet, while in the vertical direction cortices are almost the same throughout phylia, in the sense of its surface the cerebral cortex is one of the most variable and distinctive parts of the nervous system. Indeed, gyri and sulci appear to have a crucial organizing role in an architectonic, connectional, and functional sense. This organization is not explicitly captured by the surface model of the cortex. We propose a geometric model of the cortical anatomy based on flat representations of principal sulci obtained from surface reconstructions of MRI data, and on neuroanatomical and theoretical considerations concerning the folding patterns of the cortex. The cortex is modeled by a sphere where primary sulci are included as axes. The arrangement of the axes is a simplification of the arrangement of principal sulci observed in flat stereographic representations of the whole cortical surface. The position of secondary and tertiary sulci is then defined by a field of orientations parallel and orthogonal to the axes. We consider the use of the geometric model as a synthetic reference cortex for addressing reconstructions of cortical surfaces. We present a method which establishes a bijection between the geometric model and a cortical surface reconstruction by using the axes of the model as boundary conditions for a set of partial differential equations solved over both surfaces. Using the geometric model as atlas provides a natural parameterization of the cortical surface that, unlike angular coordinates, allows for a localization based on the surface distance to its main organizing landmarks and folding patterns.

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Year:  2003        PMID: 14642460     DOI: 10.1016/j.neuroimage.2003.07.008

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


  12 in total

1.  Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.

Authors:  Kiho Im; Jong-Min Lee; Uicheul Yoon; Yong-Wook Shin; Soon Beom Hong; In Young Kim; Jun Soo Kwon; Sun I Kim
Journal:  Hum Brain Mapp       Date:  2006-12       Impact factor: 5.038

2.  Whole brain diffeomorphic metric mapping via integration of sulcal and gyral curves, cortical surfaces, and images.

Authors:  Jia Du; Laurent Younes; Anqi Qiu
Journal:  Neuroimage       Date:  2011-01-31       Impact factor: 6.556

3.  A framework for in vivo quantification of regional brain folding in premature neonates.

Authors:  C E Rodriguez-Carranza; P Mukherjee; D Vigneron; J Barkovich; C Studholme
Journal:  Neuroimage       Date:  2008-01-19       Impact factor: 6.556

4.  Automatic segmentation of whole breast using atlas approach and deformable image registration.

Authors:  Valerie K Reed; Wendy A Woodward; Lifei Zhang; Eric A Strom; George H Perkins; Welela Tereffe; Julia L Oh; T Kuan Yu; Isabelle Bedrosian; Gary J Whitman; Thomas A Buchholz; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-17       Impact factor: 7.038

5.  Development of the sensorimotor cortex in the human fetus: a morphological description.

Authors:  Afif Afif; Jacqueline Trouillas; Patrick Mertens
Journal:  Surg Radiol Anat       Date:  2014-06-28       Impact factor: 1.246

6.  Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch-based group-wise sparse representation.

Authors:  Zhengwang Wu; Li Wang; Weili Lin; John H Gilmore; Gang Li; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2019-05-21       Impact factor: 5.038

7.  MarsAtlas: A cortical parcellation atlas for functional mapping.

Authors:  Guillaume Auzias; Olivier Coulon; Andrea Brovelli
Journal:  Hum Brain Mapp       Date:  2016-01-27       Impact factor: 5.038

8.  Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space.

Authors:  Xi-Nian Zuo; Ting Xu; Lili Jiang; Zhi Yang; Xiao-Yan Cao; Yong He; Yu-Feng Zang; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2012-10-17       Impact factor: 6.556

9.  Dynamic causal modelling of distributed electromagnetic responses.

Authors:  Jean Daunizeau; Stefan J Kiebel; Karl J Friston
Journal:  Neuroimage       Date:  2009-05-03       Impact factor: 6.556

10.  Contribution of exploratory methods to the investigation of extended large-scale brain networks in functional MRI: methodologies, results, and challenges.

Authors:  V Perlbarg; G Marrelec
Journal:  Int J Biomed Imaging       Date:  2008
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