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Study design
The study introduced integrated effective connectivity, a neuroimaging framework paired with signal-flow mapping to infer directed interactions and functional hierarchies. The team tested the method in simulations and against macaque tract-tracing and human imaging data, then examined differences across brain states.
What the findings show
The inferred hierarchy ordered sensorimotor, association and paralimbic regions in a pattern consistent with known structural organization. It changed with state: the hierarchy was flatter during externally oriented processing and steeper during internally focused conditions, with greater engagement of interoceptive regions.
Limits
The framework infers directed functional relationships from imaging and validation datasets; it does not directly record signals traveling along each pathway. One raw imaging dataset was restricted, and the state-related pattern does not by itself establish a causal neural mechanism.
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Sources
- State-dependent signal flow hierarchy in the human cerebral cortex — Nature Neuroscience ·
Research news is not medical advice or a recommendation to use a substance. Read findings in the context of the study design, participants and limitations. Editorial standards.
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