ArticleNature communications2025
Low frequency oscillations - neural correlates of stability and flexibility in cognition.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Inhibitory tone in the dentate gyrus dynamically prioritizes memory flexibility or stability by tuning a sensitivity-consistency continuum.PLoS biology · 2026Article
- Distinct neural oscillations predict individual differences in feedback-guided cognitive flexibility.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Human neuronal firing varies with the frequency of local field potential oscillations.PLoS biology · 2026Article
- A multichannel MEG time-frequency analysis framework for detecting stage -specific effects of spatial distraction in visual-spatial working memory.Frontiers in neuroscience · 2026Article
- Human neuronal firing is modulated by the frequency of local field potential oscillations.bioRxiv : the preprint server for biology · 2025Article
- Neural and behavioral signatures of policy compression in cognitive control.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Cognitive processing relies on the brain's ability to balance flexibility for encoding new information with stability for maintaining it. We examined these dynamics in three magnetoencephalography (MEG) datasets of visuospatial working memory (vsWM) tasks. Across all tasks, we identified four distinct networks in the theta and alpha bands, which were used to define functional states. Optimal transitioning rate between states was associated with better cognitive performance. Further, two of the states were linked to flexibility and stability, respectively: an encoding state dominated by a posterior theta and a maintenance state dominated by a dorsal alpha. We simulated the states in an in-silico model with biologically realistic cortical connectivity. The model, featuring spiking and oscillatory cortical layers interacting via phase-amplitude coupling, demonstrated how frequency and spatial region could modulate information flow. Our findings suggest a cognitive control mechanism, where selective transitions between large-scale networks optimize information flow, enabling both stable and flexible visual representations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.