Literature DB >> 8159014

The intrinsic geometry of the cerebral cortex.

L D Griffin1.   

Abstract

The mammalian cerebral cortex is a profoundly convoluted six-layered surface. The expansion of the cortex during evolution appears to be due to an increase in the number of functional units as opposed to an increase in the complexity of the units. Geometric similarity predicts that cortical area should increase in proportion to the 2/3 power of cortical volume. Allometric analysis has shown that in fact cortical area increases as a nearly linear function of cortical volume. This can be understood by appreciating that smaller brains tend to be smooth (lissencephalic) and larger brains fissured (gyrencephalic). This process of fissuration has reached its modern terrestrial limit in the human brain where the majority of the cortical surface is hidden within folds. The thickness of the cortex (2-3 mm) is small compared to its area (2000-2500 cm2) so the application of the techniques of differential geometry (the mathematics of idealized surfaces) is justified. Geometric properties of surfaces fall into two categories: intrinsic properties (which are invariant under folding of the surface, e.g. distances measured on the surface) and extrinsic properties (pure folding). The extrinsic geometry of the cortex determines the anatomical appearance of the cortex and the shape of the white matter. The intrinsic curvature of the cortex affects the relative position of functional areas and the spread of activity within the surface itself. A cortical surface has been reconstructed from cross-sections. Analysis of this surface has shown that the cortex has significant intrinsic curvature and hence it is wrong to regard it as merely a crumpled bag. The particular geometry observed is such that the surface is peculiarly "close together". Theoretical considerations and simulations suggest that the intrinsic geometry may have a significant effect on: the necessity of non-uniform growth in models of cortical development; the location of integrative areas; and the synchronization of neuronal firing. It is suggested that intrinsic descriptions of the cortex may prove more natural than extrinsic ones.

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Year:  1994        PMID: 8159014     DOI: 10.1006/jtbi.1994.1024

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  27 in total

1.  Structural and functional analyses of human cerebral cortex using a surface-based atlas.

Authors:  D C Van Essen; H A Drury
Journal:  J Neurosci       Date:  1997-09-15       Impact factor: 6.167

2.  Flat tori in three-dimensional space and convex integration.

Authors:  Vincent Borrelli; Saïd Jabrane; Francis Lazarus; Boris Thibert
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-20       Impact factor: 11.205

Review 3.  Cortical surface segmentation and mapping.

Authors:  Duygu Tosun; Maryam E Rettmann; Xiao Han; Xiaodong Tao; Chenyang Xu; Susan M Resnick; Dzung L Pham; Jerry L Prince
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  Intraoperative laser speckle contrast imaging with retrospective motion correction for quantitative assessment of cerebral blood flow.

Authors:  Lisa M Richards; Erica L Towle; Douglas J Fox; Andrew K Dunn
Journal:  Neurophotonics       Date:  2014-08-18       Impact factor: 3.593

5.  Brain Shape Characterization from Deformation.

Authors:  Lawrence H Staib; Marcel Jackowski; Xenophon Papademetris
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2006

6.  Associations of cortical thickness and cognition in patients with schizophrenia and healthy controls.

Authors:  Stefan Ehrlich; Stefan Brauns; Anastasia Yendiki; Beng-Choon Ho; Vince Calhoun; S Charles Schulz; Randy L Gollub; Scott R Sponheim
Journal:  Schizophr Bull       Date:  2011-03-24       Impact factor: 9.306

7.  Three-dimensional statistical analysis of sulcal variability in the human brain.

Authors:  P M Thompson; C Schwartz; R T Lin; A A Khan; A W Toga
Journal:  J Neurosci       Date:  1996-07-01       Impact factor: 6.167

Review 8.  Mapping fetal brain development in utero using magnetic resonance imaging: the Big Bang of brain mapping.

Authors:  Colin Studholme
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

Review 9.  A population MRI brain template and analysis tools for the macaque.

Authors:  Jakob Seidlitz; Caleb Sponheim; Daniel Glen; Frank Q Ye; Kadharbatcha S Saleem; David A Leopold; Leslie Ungerleider; Adam Messinger
Journal:  Neuroimage       Date:  2017-04-28       Impact factor: 6.556

10.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

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