ArticleCerebral cortex (New York, N.Y. : 1991)2022
From temporal to spatial topography: hierarchy of neural dynamics in higher- and lower-order networks shapes their complexity.
Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Comprehensive profiling of brain dynamics during anesthesia across phylogeny.Nature neuroscience · 2026Article
- Characteristic spatiotemporal features of large-scale functional network architecture in posttraumatic stress disorder.Translational psychiatry · 2026Article
- Machine learning algorithm reveals neurodevelopmental signatures of combined family income and neighborhood disadvantage in adolescents.Scientific reports · 2026Article
- Temporal signatures of thought-neurodynamics distinguish on- and off-task thoughts.Communications biology · 2026Article
- The role of high-amplitude bursts of high-gamma activity in naturalistic speech and music listening.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Two-Dimensional Image Lempel-Ziv Complexity Calculation Method and Its Application in Defect Detection.Entropy (Basel, Switzerland) · 2025Article
- Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention.Communications biology · 2025Article
- From the brain's encoding of input dynamics to its behavior: neural dynamics shape bias in decision making.Communications biology · 2024Article
- Article
- Altered brain dynamics index levels of arousal in complete locked-in syndrome.Communications biology · 2023Article
- As without, so within: how the brain's temporo-spatial alignment to the environment shapes consciousness.Interface focus · 2023Article
- Scale-free dynamics in the core-periphery topography and task alignment decline from conscious to unconscious states.Communications biology · 2023Article
- Reduced emergent character of neural dynamics in patients with a disrupted connectome.NeuroImage · 2023Article
- Scale-free dynamics of core-periphery topography.Human brain mapping · 2023Article
- Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task.Science advances · 2023Article
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7 authors.
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Abstract
The brain shows a topographical hierarchy along the lines of lower- and higher-order networks. The exact temporal dynamics characterization of this lower-higher-order topography at rest and its impact on task states remains unclear, though. Using 2 functional magnetic resonance imaging data sets, we investigate lower- and higher-order networks in terms of the signal compressibility, operationalized by Lempel-Ziv complexity (LZC). As we assume that this degree of complexity is related to the slow-fast frequency balance, we also compute the median frequency (MF), an estimation of frequency distribution. We demonstrate (i) topographical differences at rest between higher- and lower-order networks, showing lower LZC and MF in the former; (ii) task-related and task-specific changes in LZC and MF in both lower- and higher-order networks; (iii) hierarchical relationship between LZC and MF, as MF at rest correlates with LZC rest-task change along the lines of lower- and higher-order networks; and (iv) causal and nonlinear relation between LZC at rest and LZC during task, with MF at rest acting as mediator. Together, results show that the topographical hierarchy of lower- and higher-order networks converges with their temporal hierarchy, with these neural dynamics at rest shaping their range of complexity during task states in a nonlinear way.
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