ArticleiScience2022
Slow waves form expanding, memory-rich mesostates steered by local excitability in fading anesthesia.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Circuit-level dynamics and propagation of slow wave activity modulate their interplay during the awakening process.iScience · 2025Article
- Global and local nature of cortical slow waves.iScience · 2025Article
- Topography of putative bidirectional interaction between hippocampal sharp wave ripples and neocortical slow oscillations.bioRxiv : the preprint server for biology · 2024Article
- Article
- A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.Cell reports methods · 2024Article
- Microstimulation reveals anesthetic state-dependent effective connectivity of neurons in cerebral cortex.Frontiers in neuroscience · 2024Article
- A dietary polyphenol metabolite alters CA1 excitability ex vivo and mildly affects cortico-hippocampal field potential generators in anesthetized animals.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Article
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.Communications biology · 2023Article
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Authors and funding
5 authors.
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Abstract
In the arousal process, the brain restores its integrative activity from the synchronized state of slow wave activity (SWA). The mechanisms underpinning this state transition remain, however, to be elucidated. Here we simultaneously probed neuronal assemblies throughout the whole cortex with micro-electrocorticographic recordings in mice. We investigated the progressive shaping of propagating SWA at different levels of isoflurane. We found a form of memory of the wavefront shapes at deep anesthesia, tightly alternating posterior-anterior-posterior patterns. At low isoflurane, metastable patterns propagated in more directions, reflecting an increased complexity. The wandering across these mesostates progressively increased its randomness, as predicted by simulations of a network of spiking neurons, and confirmed in our experimental data. The complexity increase is explained by the elevated excitability of local assemblies with no modifications of the network connectivity. These results shed new light on the functional reorganization of the cortical network as anesthesia fades out.
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