SummaryAnimal data demonstrate that the development of distinct cortical areas is influenced by genes that exhibit highly regionalized expression patterns. In this paper, we show genetic patterning of cortical surface area derived from MRI data from 406 adult human twins. We mapped genetic correlations of areal expansion between selected seed regions and all other cortical locations, with the selection of seed points based on results from animal studies. “Marching seeds” and a data-driven, hypothesis-free, fuzzy-clustering approach provided convergent validation. The results reveal strong anterior-to-posterior graded, bilaterally symmetric patterns of regionalization, largely consistent with patterns previously reported in nonhuman mammalia...
Little is known about how genetic variation contributes to neuroanatomical variability, and whether ...
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease a...
Cortical surface area measures appear to be functionally relevant and distinct in etiology, developm...
SummaryAnimal data demonstrate that the development of distinct cortical areas is influenced by gene...
Animal data demonstrate that the development of distinct cortical areas is influenced by genes that ...
In this issue of Neuron, Chen and colleagues combine structural MRI and a twin-study design to inves...
Various brain structural and functional features such as cytoarchitecture, topographic mapping, gyra...
Animal data show that cortical development is initially patterned by genetic gradients largely along...
Here we describe mechanisms regulating area patterning of developing mammalian neocortex, referred t...
The many subcomponents of the human cortex are known to follow an anatomical pattern and functional ...
Surface area of the cerebral cortex is a highly heritable trait, yet little is known about genetic i...
Recent progress in deciphering mechanisms of human brain cortical folding leave unexplained whether ...
The cerebral cortex may be organized into anatomical genetic modules, communities of brain regions w...
INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human c...
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease a...
Little is known about how genetic variation contributes to neuroanatomical variability, and whether ...
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease a...
Cortical surface area measures appear to be functionally relevant and distinct in etiology, developm...
SummaryAnimal data demonstrate that the development of distinct cortical areas is influenced by gene...
Animal data demonstrate that the development of distinct cortical areas is influenced by genes that ...
In this issue of Neuron, Chen and colleagues combine structural MRI and a twin-study design to inves...
Various brain structural and functional features such as cytoarchitecture, topographic mapping, gyra...
Animal data show that cortical development is initially patterned by genetic gradients largely along...
Here we describe mechanisms regulating area patterning of developing mammalian neocortex, referred t...
The many subcomponents of the human cortex are known to follow an anatomical pattern and functional ...
Surface area of the cerebral cortex is a highly heritable trait, yet little is known about genetic i...
Recent progress in deciphering mechanisms of human brain cortical folding leave unexplained whether ...
The cerebral cortex may be organized into anatomical genetic modules, communities of brain regions w...
INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human c...
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease a...
Little is known about how genetic variation contributes to neuroanatomical variability, and whether ...
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease a...
Cortical surface area measures appear to be functionally relevant and distinct in etiology, developm...