학술논문

Genetic patterns of correlation among subcortical volumes in humans: Results from a magnetic resonance imaging twin study
Document Type
article
Source
Human Brain Mapping. 32(4)
Subject
Biological Psychology
Psychology
Acquired Cognitive Impairment
Basic Behavioral and Social Science
Neurosciences
Brain Disorders
Behavioral and Social Science
Dementia
Mental Health
Genetics
Aging
Underpinning research
1.1 Normal biological development and functioning
Neurological
Cerebral Cortex
Gene Expression Regulation
Developmental
Genetic Variation
Humans
Individuality
Male
Middle Aged
Models
Genetic
Twins
behavioral genetics
hippocampus
amygdala
striatum
pallidum
caudate
putamen
thalamus
ventricles
Cognitive Sciences
Experimental Psychology
Biological psychology
Cognitive and computational psychology
Language
Abstract
Little is known about genetic influences on the volume of subcortical brain structures in adult humans, particularly whether there is regional specificity of genetic effects. Understanding patterns of genetic covariation among volumes of subcortical structures may provide insight into the development of individual differences that have consequences for cognitive and emotional behavior and neuropsychiatric disease liability. We measured the volume of 19 subcortical structures (including brain and ventricular regions) in 404 twins (110 monozygotic and 92 dizygotic pairs) from the Vietnam Era Twin Study of Aging and calculated the degree of genetic correlation among these volumes. We then examined the patterns of genetic correlation through hierarchical cluster analysis and by principal components analysis. We found that a model with four genetic factors best fit the data: a Basal Ganglia/Thalamus factor; a Ventricular factor; a Limbic factor; and a Nucleus Accumbens factor. Homologous regions from each hemisphere loaded on the same factors. The observed patterns of genetic correlation suggest the influence of multiple genetic influences. There is a genetic organization among structures which distinguishes between brain and cerebrospinal fluid spaces and between different subcortical regions. Further study is needed to understand this genetic patterning and whether it reflects influences on early development, functionally dependent patterns of growth or pruning, or regionally specific losses due to genes involved in aging, stress response, or disease.