ArticleProceedings of the National Academy of Sciences of the United States of America2025
Critical dynamics predicts cognitive performance and provides a common framework for heterogeneous mechanisms impacting cognition.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Between Patterns and Predictions: Interpretable Latent EEG Representations for Clinical Insights.medRxiv : the preprint server for health sciences · 2026Article
- Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026Article
- Views on the distribution of consciousness influence ethical judgements toward brain organoids as biological computers: an exploratory study.Neuroscience of consciousness · 2026Article
- From visibility graphs to cognition.Frontiers in network physiology · 2026Article
- Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025Review
- Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025Article
- The Criticality of Consciousness: Excitatory-Inhibitory Balance and Dual Memory Systems in Active Inference.Entropy (Basel, Switzerland) · 2025Article
- Linking local and large-scale salient events with oscillatory and broadband arrhythmic activities in the resting human brain.Imaging neuroscience (Cambridge, Mass.)Article
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4 authors.
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Abstract
The brain criticality hypothesis postulates that brain dynamics are set at a phase transition where information processing is optimized. Long-range temporal correlations (TCs) characterizing the dissipation of information within a signal have been shown to be a hallmark of brain criticality. However, the experimental link between cognitive performance, criticality, and thus TCs has remained elusive due to limitations in recording length and spatial and temporal resolution. In this study, we investigate multiday invasive EEG recordings of 104 persons with epilepsy (PwE) together with an extensive cognitive test battery. We show that short TCs predict cognitive impairment. Further, we show that heterogeneous factors, including interictal epileptiform discharges (IEDs), antiseizure medications (ASMs), and intermittent periods with slow-wave activity (SWSs), all act directly to perturb critical dynamics and thus cognition. Our work suggests critical dynamics to be the setpoint to measure optimal network function, thereby providing a unifying framework for the heterogeneous mechanisms impacting cognition in conditions like epilepsy.
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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.