ArticleFrontiers in systems neuroscience2021
Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia.
Article in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed.
- Highly attenuated dendritic propagation of isolated synaptic potentials in vivo.Science advances · 2026Article
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- Photopharmacological Cholinergic Modulation of Cortical Activity in Human Brain Slices.Brain sciences · 2026Article
- Do auditory deviants evoke cortical state changes under anaesthesia? A proof-of-concept study.Experimental physiology · 2026Article
- Neurophysiological differences between dexmedetomidine sedation and natural sleep across the rodent lifespan: implications for aging and perioperative brain health.Anesthesiology and perioperative science · 2026Article
- Clinical Electroencephalography for Anesthesiologists and Intensivists: Part 2-Physiologic Signatures and Active Management.Anesthesiology · 2025Review
- Global and local nature of cortical slow waves.iScience · 2025Article
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- Network Desynchronization with Sine Waves: from Synchrony to Asynchrony by Periodic Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Preoptic area influences sleep-related seizures in a genetic epilepsy mouse model.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Neural models for detection and classification of brain states and transitions.Communications biology · 2025Article
- Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP.PLoS computational biology · 2025Article
- Control of cortical slow oscillations and epileptiform discharges with photoswitchable type 1 muscarinic ligands.PNAS nexus · 2025Article
- On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions.Frontiers in network physiology · 2025Article
- Estimating and detecting slow wave events in EEG.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Intracortical mechanisms of single pulse electrical stimulation (SPES) evoked excitations and inhibitions in humans.Scientific reports · 2024Article
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- Enhanced Release Probability without Changes in Synaptic Delay during Analogue-Digital Facilitation.Cells · 2024Article
- Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy.Journal of cognitive neuroscience · 2024Article
- Brain state identification and neuromodulation to promote recovery of consciousness.Brain communications · 2024Review
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Slow oscillations are a pattern of synchronized network activity generated by the cerebral cortex. They consist of Up and Down states, which are periods of activity interspersed with periods of silence, respectively. However, even when this is a unique dynamic regime of transitions between Up and Down states, this pattern is not constant: there is a range of oscillatory frequencies (0.1-4 Hz), and the duration of Up vs. Down states during the cycles is variable. This opens many questions. Is there a constant relationship between the duration of Up and Down states? How much do they vary across conditions and oscillatory frequencies? Are there different sub regimes within the slow oscillations? To answer these questions, we aimed to explore a concrete aspect of slow oscillations, Up and Down state durations, across three conditions: deep anesthesia, light anesthesia, and slow-wave sleep (SWS), in the same chronically implanted rats. We found that light anesthesia and SWS have rather similar properties, occupying a small area of the Up and Down state duration space. Deeper levels of anesthesia occupy a larger region of this space, revealing that a large variety of Up and Down state durations can emerge within the slow oscillatory regime. In a network model, we investigated the network parameters that can explain the different points within our bifurcation diagram in which slow oscillations are expressed.
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