Neural integrator and orchestrator communities shape spontaneous signaling in the human brain
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View abstract on PubMed
Summary
This summary is machine-generated.Brain activity shows a fundamental orchestration-integration organization even at rest, impacting intelligence. This structure involves specific brain regions and networks acting as transmitters or receivers of information, offering insights into cognitive function and disorders.
Area Of Science
- Neuroscience
- Cognitive Science
- Systems Biology
Background
- Human cognition relies on intrinsic brain dynamics.
- Theoretical models propose hierarchical brain organization with orchestrator and integrator systems.
- The presence of this framework in resting-state brain activity remains underexplored.
Purpose Of The Study
- To quantitatively test the orchestration-integration framework in intrinsic brain activity.
- To investigate the relationship between this brain organization and human intelligence.
- To apply a novel financial mathematics-derived modeling framework to neuroscience.
Main Methods
- Utilized 7T resting-state functional magnetic resonance imaging (fMRI) data from 173 healthy adults.
- Applied a multivariate fractional Ornstein-Uhlenbeck process to model spontaneous brain fluctuations.
- Derived directional influence indices to identify orchestrating and integrating brain systems.
Main Results
- Identified a stable bipartite organization of brain activity into orchestrators and integrators.
- Subcortical orchestrators included the anterior thalamus, putamen, and caudate.
- Cortical orchestrators comprised attentional and sensory networks, while higher-order cognitive networks acted as integrators.
- This integration-orchestration axis correlated with intelligence scores.
Conclusions
- Intrinsic brain activity exhibits an integration-orchestration organization even without cognitive tasks.
- This framework is relevant for understanding individual differences in intelligence.
- The fractional modeling approach provides a tool for studying brain disorders characterized by altered network dynamics.
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