Literature DB >> 23961829

Surface area of human cerebral cortex and its gross morphological subdivisions: in vivo measurements in monozygotic twins suggest differential hemisphere effects of genetic factors.

M J Tramo1, W C Loftus, C E Thomas, R L Green, L A Mott, M S Gazzaniga.   

Abstract

Abstract We measured the surEdce area of the cerebral cortex and its gross morphological subdivisions in 10 pairs of monozygotic twins. Cortical surface area was estimated in vivo using magnetic resonance imaging and threedimensional computer models of the intra- and extrasulcal pial surface. The means and standard deviations of regional (e.g., gyral), lobar, hemisphere, and total cortical surface area were tabulated for the entire population of 20 young, right-handed adults (10 females, 10 males). To determine whether genotypic differences were associated with morphometric differences, analyses of variance were carried out on each measure across unrelated twin pairs (genotype factor) and within co-twins (birth order factor). Across unrelated pairs, there was wide variation in regional cortical surface area for the left hemisphere (normalized by total cortical surface area, p ≤ 0.0001) but not for the right hemisphere (normalized, p = 0.12). More variation in lobar surface area was also observed for the left hemisphere (normalized, p = 0.05) than for the right (normalized, p = 0.48). Within co-twins, no signifcant variation in regional surface area or lobar surface area was found for the left or right hemisphere. Although normalized regional and lobar surface area in the left hemisphere differed across unrelated pairs, overall left hemisphere surface area normalized by total cortical surface area did not (p = 0.73). Total cortical surface area normallzed by body weight varied across unrelated pairs (p = 0.001) but not within co-twins (p = 0.39). The effects observed across unrelated pairs were not attributable to sex differences. These results suggest: 1) both the total area and folding of the cortical surface are heavily influenced by genetic factors in humans; and 2) the cerebral hemispheres may be differentially affected by genetic influences on cortical morphogenesis, with the languagedominant left cerebral cortex under stronger genetic control than the right.

Entities:  

Year:  1995        PMID: 23961829     DOI: 10.1162/jocn.1995.7.2.292

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  14 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.  Improvement in variability of the horizontal meridian of the primary visual area following high-resolution spatial normalization.

Authors:  P Kochunov; M Hasnain; J Lancaster; T Grabowski; P Fox
Journal:  Hum Brain Mapp       Date:  2003-02       Impact factor: 5.038

3.  Genetic influence on quantitative features of neocortical architecture.

Authors:  Matthias Kaschube; Fred Wolf; Theo Geisel; Siegrid Löwel
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

4.  Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases.

Authors:  David C Van Essen; Matthew F Glasser; Donna L Dierker; John Harwell; Timothy Coalson
Journal:  Cereb Cortex       Date:  2011-11-02       Impact factor: 5.357

5.  Cortical cell and neuron density estimates in one chimpanzee hemisphere.

Authors:  Christine E Collins; Emily C Turner; Eva Kille Sawyer; Jamie L Reed; Nicole A Young; David K Flaherty; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-04       Impact factor: 11.205

6.  Hemispheric asymmetry of sulcus-function correspondence: quantization and developmental implications.

Authors:  Mohammed K Hasnain; Peter T Fox; Marty G Woldorff
Journal:  Hum Brain Mapp       Date:  2006-04       Impact factor: 5.038

7.  Variability of the paracingulate sulcus and morphometry of the medial frontal cortex: associations with cortical thickness, surface area, volume, and sulcal depth.

Authors:  Alex Fornito; Stephen J Wood; Sarah Whittle; Jack Fuller; Chris Adamson; Michael M Saling; Dennis Velakoulis; Christos Pantelis; Murat Yücel
Journal:  Hum Brain Mapp       Date:  2008-02       Impact factor: 5.038

Review 8.  Cholinergic circuitry of the human nucleus basalis and its fate in Alzheimer's disease.

Authors:  M-Marsel Mesulam
Journal:  J Comp Neurol       Date:  2013-12-15       Impact factor: 3.215

9.  Genetic and environmental influences on cortical thickness among 14-year-old twins.

Authors:  Yaling Yang; Anand A Joshi; Shantanu H Joshi; Laura A Baker; Katherine L Narr; Adrian Raine; Paul M Thompson; Hanna Damasio
Journal:  Neuroreport       Date:  2012-08-22       Impact factor: 1.837

10.  Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.

Authors:  Brian Sweetman; Michalis Xenos; Laura Zitella; Andreas A Linninger
Journal:  Comput Biol Med       Date:  2011-01-07       Impact factor: 4.589

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