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Clinical Trial
. 2013 Oct 15;110(42):17089-94.
doi: 10.1073/pnas.1308091110. Epub 2013 Sep 30.

Genetic topography of brain morphology

Affiliations
Clinical Trial

Genetic topography of brain morphology

Chi-Hua Chen et al. Proc Natl Acad Sci U S A. .

Abstract

Animal data show that cortical development is initially patterned by genetic gradients largely along three orthogonal axes. We previously reported differences in genetic influences on cortical surface area along an anterior-posterior axis using neuroimaging data of adult human twins. Here, we demonstrate differences in genetic influences on cortical thickness along a dorsal-ventral axis in the same cohort. The phenomenon of orthogonal gradations in cortical organization evident in different structural and functional properties may originate from genetic gradients. Another emerging theme of cortical patterning is that patterns of genetic influences recapitulate the spatial topography of the cortex within hemispheres. The genetic patterning of both cortical thickness and surface area corresponds to cortical functional specializations. Intriguingly, in contrast to broad similarities in genetic patterning, two sets of analyses distinguish cortical thickness and surface area genetically. First, genetic contributions to cortical thickness and surface area are largely distinct; there is very little genetic correlation (i.e., shared genetic influences) between them. Second, organizing principles among genetically defined regions differ between thickness and surface area. Examining the structure of the genetic similarity matrix among clusters revealed that, whereas surface area clusters showed great genetic proximity with clusters from the same lobe, thickness clusters appear to have close genetic relatedness with clusters that have similar maturational timing. The discrepancies are in line with evidence that the two traits follow different mechanisms in neurodevelopment. Our findings highlight the complexity of genetic influences on cortical morphology and provide a glimpse into emerging principles of genetic organization of the cortex.

Keywords: MRI; genetics; regionalization.

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Conflict of interest statement

Conflict of interest statement: A.M.D. is a founder of and holds equity in CorTechs Laboratories, Inc., and also serves on its Scientific Advisory Board. The terms of this arrangement have been reviewed and approved by the University of California, San Diego, in accordance with its conflict of interest policies. All other authors report no biomedical financial interests or potential conflicts of interest.

Figures

Fig. 1.
Fig. 1.
Two-cluster solution maps. When the number of clusters was constrained to be two, the solution identified a D-V division as the most distinct partition in the genetic patterning of cortical thickness, and an A-P division in the genetic patterning of surface area. D, dorsal; V, ventral; A, anterior; P, posterior.
Fig. 2.
Fig. 2.
Genetic clustering maps. Cortical thickness: 1, motor-premotor-supplementary motor area; 2, superior parietal cortex; 3, inferior parietal cortex; 4, perisylvian region; 5, occipital cortex; 6, ventromedial occipital cortex; 7, ventral frontal cortex; 8, temporal pole; 9, medial temporal cortex; 10 middle temporal cortex; 11, dorsolateral prefrontal cortex; 12, medial prefrontal cortex. Surface area: 1, motor-premotor cortex; 2, dorsolateral prefrontal cortex; 3, dorsomedial frontal cortex; 4, orbitofrontal cortex; 5, pars opercularis and subcentral region; 6, superior temporal cortex; 7, posterolateral temporal cortex; 8, anteromedial temporal cortex; 9, inferior parietal cortex; 10, superior parietal cortex; 11, precuneus; and 12: occipital cortex (26).
Fig. 3.
Fig. 3.
Organization among genetic clusters. (Upper) The dendrograms derived from hierarchical clustering based on genetic correlations among clusters. (Lower) The genetic clustering maps show anatomical locations of the clusters, and the heatmaps represent the weighted mean genetic correlations within and between clusters.

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