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A GENETIC ANALYSIS OF CORTICAL THICKNESS IN 372 TWINS
Anand A Joshi1, Natasha Leporé1,2, Shantanu Joshi1
1Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA.
Proceedings. IEEE International Symposium on Biomedical Imaging
|December 15, 2018
Summary
This study used brain MRI scans from twins to find genetic influences on brain structure. Key areas like language cortex and poles show genetic effects on gray matter volume.
Area of Science:
- Neuroscience
- Computational Anatomy
- Quantitative Genetics
Background:
- Imaging genetics integrates computational anatomy and quantitative genetics.
- Understanding genetic influences on brain structure is crucial.
Purpose of the Study:
- To identify specific cortical regions influenced by genetic differences in gray matter volume.
- To explore the genetic basis of brain structure variation in young adults.
Main Methods:
- Analysis of brain MRI data from 372 young adult twins.
- Reconstruction and smoothing of cortical thickness maps.
- Structural equation modeling to assess genetic (A), shared environmental (C), and unique environmental (E) variance components.
Main Results:
- Significant additive genetic variance identified in cortical regions near the perisylvian language cortex.
- Genetic influences on gray matter volume also observed at the frontal and temporal poles.
- Volume measures in these regions can serve as quantitative phenotypes.
Conclusions:
- Genetic factors significantly influence gray matter volume in specific cortical regions.
- Findings support the use of these brain regions in quantitative trait loci mapping.
- This research advances the field of imaging genetics by linking genes to brain structure.
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