The abstract is read at the publisher; the summary is JClub's.
In resting-state Human Connectome Project data (N = 994), brain state organization shows a state–trait continuum, with more stable trait-like dynamics and stronger network coupling at lower frequencies.
- Why it matters: Linking brain function to stable individual differences requires methods that capture both spatial organization and temporal dynamics, not just static connectivity.
- What they did: The study analyzed resting-state fMRI from the Human Connectome project using an adaptive frequency approach across timescales and complex-systems methods to relate spatial and temporal network features.
- The result: Networks tied to higher-order cognition show greater coupling across timescales, supporting a spatiotemporal hierarchy view and enabling future brain–behavior investigations from a complex-systems perspective.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.