ArticleHuman brain mapping2020
Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Dynamic reconfiguration of brain coactivation states associated with active and lecture-based learning of university physics.NPJ science of learning · 2025Article
- Development of brain metastable dynamics during the equivalent of the third gestational trimester.Developmental cognitive neuroscience · 2025Review
- Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest.GeroScience · 2025Article
- Beyond neurons and spikes:Cognitive neurodynamics · 2024Review
- The Constrained Disorder Principle May Account for Consciousness.Brain sciences · 2024Review
- Metastability indexes global changes in the dynamic working point of the brain following brain stimulation.Frontiers in neurorobotics · 2024Article
- Constructing representative group networks from tractography: lessons from a dynamical approach.Frontiers in network physiology · 2024Article
- Electroencephalographic Biomarkers, Cerebral Oximetry, and Postoperative Cognitive Function in Adult Noncardiac Surgical Patients: A Prospective Cohort Study.Anesthesiology · 2023Observational
- Disrupted resting-sate brain network dynamics in children born extremely preterm.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.Frontiers in computational neuroscience · 2023Article
- Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher's Choice Paths.Neuroinformatics · 2023Article
- Dopamine depletion and subcortical dysfunction disrupt cortical synchronization and metastability affecting cognitive function in Parkinson's disease.Human brain mapping · 2022Article
- The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony.Frontiers in computational neuroscience · 2022Article
- Test-Retest Reliability of Synchrony and Metastability in Resting State fMRI.Brain sciences · 2021Article
- Unifying Large- and Small-Scale Theories of Coordination.Entropy (Basel, Switzerland) · 2021Article
- Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks.Frontiers in computational neuroscience · 2021Article
- Delirium, Caffeine, and Perioperative Cortical Dynamics.Frontiers in human neuroscience · 2021Article
- Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms.Human brain mapping · 2020Article
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5 authors.
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Abstract
Despite resting state networks being associated with a variety of cognitive abilities, it remains unclear how these local areas act in concert to express particular cognitive operations. Theoretical and empirical accounts indicate that large-scale resting state networks reconcile dual tendencies towards integration and segregation by operating in a metastable regime of their coordination dynamics. Metastability may confer important behavioural qualities by binding distributed local areas into large-scale neurocognitive networks. We tested this hypothesis by analysing fMRI data in a large cohort of healthy individuals (N = 566) and comparing the metastability of the brain's large-scale resting network architecture at rest and during the performance of several tasks. Metastability was estimated using a well-defined collective variable capturing the level of 'phase-locking' between large-scale networks over time. Task-based reasoning was principally characterised by high metastability in cognitive control networks and low metastability in sensory processing areas. Although metastability between resting state networks increased during task performance, cognitive ability was more closely linked to spontaneous activity. High metastability in the intrinsic connectivity of cognitive control networks was linked to novel problem solving or fluid intelligence, but was less important in tasks relying on previous experience or crystallised intelligence. Crucially, subjects with resting architectures similar or 'pre-configured' to a task-general arrangement demonstrated superior cognitive performance. Taken together, our findings support a key linkage between the spontaneous metastability of large-scale networks in the cerebral cortex and cognition.
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