The heritability and structural correlates of resting-state fMRI complexity
Yi Zhen1, Yaqian Yang1, Yi Zheng1
1School of Mathematical Sciences, Beihang University, Beijing 100191, China; Key laboratory of Mathematics, Informatics and Behavioral Semantics, Beihang University, Beijing 100191, China.
Neuroimage
|May 29, 2024
Summary
Resting-state fMRI complexity is heritable and linked to brain structure. This finding supports its use as a potential biomarker for psychiatric disorders.
Area of Science:
- Neuroscience
- Genetics
- Brain Imaging
Background:
- Resting-state functional magnetic resonance imaging (fMRI) complexity reveals neural activity dynamics.
- Heritability and structural links of fMRI complexity are poorly understood.
- Understanding these factors is crucial for cognitive and psychiatric research.
Purpose of the Study:
- To investigate the heritability of fMRI complexity.
- To explore the relationship between fMRI complexity and brain structural features.
- To assess the potential of fMRI complexity as an endophenotype for psychiatric disorders.
Main Methods:
- Utilized multi-scale sample entropy to quantify resting-state fMRI complexity.
- Analyzed data from a large healthy adult sample (Human Connectome Project).
- Correlated fMRI complexity with brain structural measures (surface area, myelination, thickness, volumes).
Main Results:
- fMRI complexity is heritable across broad brain regions with modest, variable estimates.
- Cortical surface area correlates inversely with fine-scale and directly with coarse-scale complexity.
- Cortical myelination shows complex correlations with fMRI complexity at different scales.
- Significant associations found with subcortical volumes, but not total brain volume or cortical thickness.
Conclusions:
- Established the genetic basis of resting-state fMRI complexity.
- Identified key structural correlates of fMRI complexity across multiple scales.
- Supports the utility of fMRI complexity as a potential endophenotype for psychiatric conditions.
