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Updated: Sep 11, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Heritability and genetic contribution analysis of structural-functional coupling in human brain
Wei Dai1, Zhengwu Zhang2, Peihan Song1
1Department of Biostatistics, Yale University School of Public Health, New Haven, CT, United States.
This study reveals the genetic basis of brain connectivity, identifying genetic loci linked to structural and functional connectivity coupling. These findings offer insights into neurological and psychiatric conditions.
Area of Science:
- Neuroscience
- Genetics
- Brain Imaging
Background:
- Functional connectivity (FC) is supported by white matter structural connectivity (SC).
- The genetic underpinnings of SC-FC coupling remain largely unexplored.
- Previous studies often relied on predefined brain atlases.
Purpose of the Study:
- To investigate the genetic architecture of SC-FC coupling using an atlas-free approach.
- To identify genetic variations influencing the relationship between brain structure and function.
- To explore genetic correlations of SC-FC coupling with complex traits.
Main Methods:
- Utilized an atlas-free SC-FC coupling method based on the white-gray matter interface.
- Analyzed data from the Human Connectome Project and the Adolescent Brain Cognitive Development study.
- Performed genome-wide association studies and genetic correlation analyses.
Main Results:
- Identified significant heritability in visual cortex and functional networks (dorsal-attention, language, somatomotor).
- Detected 334 genetic loci associated with SC-FC coupling across multiple brain networks.
- Confirmed 187 cytogenetic bands linked to SC-FC coupling in a separate cohort.
- Found high genetic interrelatedness between neighboring regions and correlations with complex traits.
Conclusions:
- This study provides novel insights into the genetic basis of brain connectivity.
- The findings highlight the genetic interplay between structural and functional brain networks.
- This research may inform our understanding of neurological and psychiatric disorders.
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