Genetic influences on resting-state functional networks: A twin study

Area of Science:

• Neuroscience
• Behavioral Genetics
• Psychiatric Genetics

Background:

• Resting-state networks (RSNs) are implicated in psychiatric and neurologic disorders.
• RSNs are proposed as potential endophenotypes for brain diseases.
• Heritability of RSNs is a key factor in validating their role as endophenotypes.

Purpose of the Study:

• To investigate the genetic and environmental influences on eight well-characterized RSNs.
• To determine the heritability of RSNs beyond the default-mode network.
• To assess the contribution of genetic factors to the functional connectome.

Main Methods:

• Utilized a twin design with resting-state functional magnetic resonance imaging (fMRI) data from 56 twin pairs.
• Applied the classic ACE twin model to estimate genetic and environmental effects on RSN functional connectivity.
• Analyzed covariance of functional connectivity at the voxel level within each RSN.

Main Results:

• Environmental effects explained the majority of variance in widespread brain areas.
• Specific brain sites demonstrated significant genetic control over individual RSNs.
• Evidence suggests genomic constraints shape parts of the human brain's functional connectome.

Conclusions:

• A portion of the brain's functional connectome is influenced by genetic factors.
• Findings support the potential of RSNs as heritable endophenotypes for brain disorders.
• This research bridges genetic analysis with network-level assessments for understanding brain diseases.