Cortical Thickness Genetic Variance in Childhood and Adolescence

Featuring 81,924 measures of cortical thickness derived from 1,748 anatomic MRI scans of 792 healthy twins and siblings. It was used to map dynamic genetic contributions to brain development across childhood and adolescence, with up to eight longitudinal time points per subject.

Use Cases

• Apply latent growth curve modeling to 81,924 cortical thickness measures to visualize genetic variance changes over time.
• Analyze heritability patterns across the cerebral cortex to identify regions of highest genetic influence, such as the temporal poles.
• Model the sequential emergence of high heritability regions in the inferior parietal and dorsolateral frontal cortices throughout adolescence.

Strengths

• Includes 81,924 specific measures of cortical thickness for analysis.
• Longitudinal design with up to eight time points per subject across 792 individuals.
• Focus on genetically informative twin and sibling pairs allows for heritability estimation.

Limitations

• Sample consists of healthy twins and siblings, which may limit generalizability to other populations.
• The specific data structure, columns, and file formats are not described in the input.

Provenance

Source

J. Eric Schmitt via Dryad.

Collection Method

Combined longitudinal anatomic MRI scans and quantitative genetic analysis of twin and sibling cohorts.

Time Range

Covers childhood and adolescence; specific years not provided.

Freshness

Last updated in June 2020.