Genetic Contributions to Regional Variability in Human Brain Structure: Methods and Preliminary Results

• Published in: NeuroImage (Orlando, Fla.) Vol. 17; no. 1; pp. 256 - 271
• Main Authors: Wright, I.C., Sham, P., Murray, R.M., Weinberger, D.R., Bullmore, E.T.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2002; Elsevier Limited
• Subjects: Algorithms; Analysis of Variance; asymmetry; Brain - anatomy & histology; Brain - growth & development; brain anatomy; Cerebral Ventricles - anatomy & histology; Female; Functional Laterality - physiology; genetic correlation matrix; Genetics; Gestational Age; heritability; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; MRI; path analysis; Phenotype; Pregnancy; Principal Component Analysis; structural equation modeling; twins; Twins, Dizygotic; Twins, Monozygotic; path analysis; twins; MRI; structural equation modeling; brain anatomy; asymmetry; genetic correlation matrix; heritability

Twin studies provide one approach for investigating and partitioning genetic and environmental contributions to phenotypic variability in human brain structure. Previous twin studies have found that cerebral volume, hemispheric volume, ventricular volume, and cortical gyral pattern variability were...