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Updated: Jun 24, 2026
11:03
Conditional Genetic Transsynaptic Tracing in the Embryonic Mouse Brain
Published on: December 22, 2014
Neural connectivity as an intermediate phenotype: brain networks under genetic control
1Central Institute of Mental Health, J5, 68159 Mannheim, Germany. a.meyer-lindenberg@zi-mannheim.de
Human Brain Mapping
|March 19, 2009
Summary
Genetic variations influence brain connectivity, impacting behavior and disease risk. Imaging genetics reveals how specific genes control brain networks, offering insights into complex human traits and psychiatric conditions.
Area of Science:
- Neuroscience
- Genetics
- Psychiatry
Background:
- Default mode connectivity represents significant brain activity and energy expenditure.
- This suggests potential genetic influence on large-scale brain network features.
- Imaging genetics integrates genetic data with neuroimaging to explore genetic links to neural systems.
Purpose of the Study:
- To investigate genetic control over systems-level brain connectivity using imaging genetics.
- To examine both structural and functional connectivity in relation to specific genes.
- To determine if connectivity features better explain genetic effects on behavior than regional measures.
Main Methods:
- Applied imaging genetics to structural and functional connectivity data.
- Utilized genetic data for serotonergic (5-HTTLPR, MAO-A) and dopaminergic (DARPP-32) systems.
- Analyzed similarities across different neuroimaging modalities and scales.
Main Results:
- Identified systems-level brain networks influenced by genetic factors.
- Observed consistent genetic effects on connectivity across modalities.
- Found that connectivity features more effectively explained behavioral effects of genetic variation compared to regional brain parameters.
Conclusions:
- Provided evidence for genetic control over human brain connectivity systems.
- Highlighted the potential of characterizing these networks for understanding genetic risk in behavior and psychiatric disorders.
- Demonstrated the utility of imaging genetics in linking genetic variation to brain network organization and function.
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