Sequential structure of neocortical spontaneous activity in vivo
Open accessAbstract
Even in the absence of sensory stimulation, the neocortex shows complex spontaneous activity patterns, often consisting of alternating “DOWN” states of generalized neural silence and “UP” states of massive, persistent network activity. To investigate how this spontaneous activity propagates through neuronal assemblies in vivo , we simultaneously recorded populations of 50–200 cortical neurons in layer V of anesthetized and awake rats. Each neuron displayed a virtually unique spike pattern during UP states, with diversity seen amongst both putative pyramidal cells and interneurons, reflecting a complex but stereotypically organized sequential spread of activation through local cortical networks. Spike timing was most precise during the first ≈100 ms after UP state onset, and decayed as UP states progressed. A subset of UP states propagated as traveling waves, but waves passing a given point in either direction initiated similar local sequences, suggesting local networks as the substrate of sequential firing patterns. A search for repeating motifs indicated that their occurrence and structure was predictable from neurons' individual latencies to UP state onset. We suggest that these stereotyped patterns arise from the interplay of intrinsic cellular conductances and local circuit properties.
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High-density EEG recordings in humans as well as depth recordings in epileptic patients and cats indicate that the slow oscillation behaves like a travelling wave, which originates most frequently in the frontal regions and propagates towards posterior regions, although other origins and directions of propagation occur.
“High-density EEG recordings in humans as well as depth recordings in epileptic patients and cats indicate that the slow oscillation behaves like a travelling wave, which originates most frequently in the frontal regions and propagates towards posterior regions, although other origins and directions of propagation occur (188, 748, 791, 841, 859, 1261, 1314).”
From About Sleep's Role in Memory (2013) · cites this paper as [748]
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- Authors
- Luczak, A., Barthó, P., Marguet, S. L., Buzsáki, G., & Harris, K. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Center for Molecular and Behavioral Science, Rutgers University, Newark, NJ 07102
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-01-02
- Volume
- 104
- Issue
- 1
- Pages
- 347-352
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1765463
- OpenAlex
- W2054465718
- Cited by
- 515
- References
- 7
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 22 · 2023: 10 · 2022: 26 · 2021: 19 · 2020: 34 · 2019: 36 · 2018: 29 · 2017: 33 · 2016: 38 · 2015: 29 · 2014: 32 · 2013: 34 · 2012: 15
- FWCI
- 9.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH073245)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- up-down states, cortical oscillations, traveling waves, spike timing, layer V neurons, pyramidal neurons, interneurons, cell assemblies, rats
- MeSH terms
- Animals, Reaction Time, Rats, Sprague-Dawley, Neocortex, Rats
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