Title |
Genetic Effects on Fine-Grained Human Cortical Regionalization
|
---|---|
Published in |
Cerebral Cortex, August 2015
|
DOI | 10.1093/cercor/bhv176 |
Pubmed ID | |
Authors |
Yue Cui, Bing Liu, Yuan Zhou, Lingzhong Fan, Jin Li, Yun Zhang, Huawang Wu, Bing Hou, Chao Wang, Fanfan Zheng, Chengxiang Qiu, Li-Lin Rao, Yuping Ning, Shu Li, Tianzi Jiang |
Abstract |
Various brain structural and functional features such as cytoarchitecture, topographic mapping, gyral/sulcal anatomy, and anatomical and functional connectivity have been used in human brain parcellation. However, the fine-grained intrinsic genetic architecture of the cortex remains unknown. In the present study, we parcellated specific regions of the cortex into subregions based on genetic correlations (i.e., shared genetic influences) between the surface area of each pair of cortical locations within the seed region. The genetic correlations were estimated by comparing the correlations of the surface area between monozygotic and dizygotic twins using bivariate twin models. Our genetic subdivisions of diverse brain regions were reproducible across 2 independent datasets and corresponded closely to fine-grained functional specializations. Furthermore, subregional genetic correlation profiles were generally consistent with functional connectivity patterns. Our findings indicate that the magnitude of the genetic covariance in brain anatomy could be used to delineate the boundaries of functional subregions of the brain and may be of value in the next generation human brain atlas. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 13% |
Canada | 1 | 13% |
United States | 1 | 13% |
China | 1 | 13% |
Australia | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 7% |
Hong Kong | 1 | 2% |
Unknown | 40 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 27% |
Researcher | 9 | 20% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Other | 6 | 14% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 8 | 18% |
Neuroscience | 8 | 18% |
Agricultural and Biological Sciences | 4 | 9% |
Medicine and Dentistry | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Other | 3 | 7% |
Unknown | 16 | 36% |