PofoliaShared via Pofolia

Science· 2012Q1

Hierarchical Genetic Organization of Human Cortical Surface Area

Chi‐Hua Chen, E. D. Gutiérrez, Wes Thompson, Matthew S. Panizzon et al.

Short summary

A novel brain atlas, derived from genetic data of 406 twins, reveals that human cortical surface area is organized hierarchically and modularly, with genetically defined regions largely aligning with, yet differing from, conventional structural and functional areas.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A novel brain atlas was constructed using a fuzzy clustering technique on MRI data from 406 twins to map genetically influenced cortical surface area.
  • The genetic organization of cortical area is hierarchical, modular, and predominantly bilaterally symmetric.
  • Genetically defined cortical subdivisions largely correspond to structural and functional regions but represent distinct phenotypes compared to conventional parcellations.
  • Human-specific regions appear as subdivisions within broader, genetically defined lobar patterns.

AI-generated from the title and abstract; the full text is not read.

Abstract

Surface area of the cerebral cortex is a highly heritable trait, yet little is known about genetic influences on regional cortical differentiation in humans. Using a data-driven, fuzzy clustering technique with magnetic resonance imaging data from 406 twins, we parceled cortical surface area into genetic subdivisions, creating a human brain atlas based solely on genetically informative data. Boundaries of the genetic divisions corresponded largely to meaningful structural and functional regions; however, the divisions represented previously undescribed phenotypes different from conventional (non-genetically based) parcellation systems. The genetic organization of cortical area was hierarchical, modular, and predominantly bilaterally symmetric across hemispheres. We also found that the results were consistent with human-specific regions being subdivisions of previously described, genetically based lobar regionalization patterns.

The authors' abstract, as published at the source. Science, 2012 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Geometry and Topology

Geometry and TopologyMathematics