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Full-Text Articles in Medicine and Health Sciences
Genetic Network Properties Of The Human Cortex Based On Regional Thickness And Surface Area Measures, Anna R. Docherty, Chelsea K. Sawyers, Matthew S. Panizzon, Michael C. Neale, Lisa T. Eyler, Christine Fennema-Notestine, Carol E. Franz, Chi-Hua Chen, Linda K. Mcevoy, Brad Verhulst, Ming T. Tsuang, William S. Kremen
Genetic Network Properties Of The Human Cortex Based On Regional Thickness And Surface Area Measures, Anna R. Docherty, Chelsea K. Sawyers, Matthew S. Panizzon, Michael C. Neale, Lisa T. Eyler, Christine Fennema-Notestine, Carol E. Franz, Chi-Hua Chen, Linda K. Mcevoy, Brad Verhulst, Ming T. Tsuang, William S. Kremen
Psychiatry Publications
We examined network properties of genetic covariance between average cortical thickness (CT) and surface area (SA) within genetically-identified cortical parcellations that we previously derived from human cortical genetic maps using vertex-wise fuzzy clustering analysis with high spatial resolution. There were 24 hierarchical parcellations based on vertex-wise CT and 24 based on vertex-wise SA expansion/contraction; in both cases the 12 parcellations per hemisphere were largely symmetrical. We utilized three techniques—biometrical genetic modeling, cluster analysis, and graph theory—to examine genetic relationships and network properties within and between the 48 parcellation measures. Biometrical modeling indicated significant shared genetic covariance between size of several …
Genetic Network Properties Of The Human Cortex Based On Regional Thickness And Surface Area Measures, Anna R. Docherty, Chelsea K. Sawyers, Matthew S. Panizzon, Michael C. Neale, Lisa T. Eyler, Christine Fennema-Notestine, Carol E. Franz, Chi-Hua Chen, Linda K. Mcevoy, Brad Verhulst, Ming T. Tsuang, William S. Kremen
Genetic Network Properties Of The Human Cortex Based On Regional Thickness And Surface Area Measures, Anna R. Docherty, Chelsea K. Sawyers, Matthew S. Panizzon, Michael C. Neale, Lisa T. Eyler, Christine Fennema-Notestine, Carol E. Franz, Chi-Hua Chen, Linda K. Mcevoy, Brad Verhulst, Ming T. Tsuang, William S. Kremen
Psychiatry Publications
We examined network properties of genetic covariance between average cortical thickness (CT) and surface area (SA) within genetically-identified cortical parcellations that we previously derived from human cortical genetic maps using vertex-wise fuzzy clustering analysis with high spatial resolution. There were 24 hierarchical parcellations based on vertex-wise CT and 24 based on vertex-wise SA expansion/contraction; in both cases the 12 parcellations per hemisphere were largely symmetrical. We utilized three techniques—biometrical genetic modeling, cluster analysis, and graph theory—to examine genetic relationships and network properties within and between the 48 parcellation measures. Biometrical modeling indicated significant shared genetic covariance between size of several …