Evidence map›Paper›PMID 28826485›Full record

ArticleeLife2017

UP-DOWN cortical dynamics reflect state transitions in a bistable network.

Daniel Jercog, Alex Roxin, Peter Barthó, Artur Luczak, Albert Compte, Jaime de la Rocha

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. A claustro-cortical loop times state transitions for flexible behavior.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Nonlinear Dendritic Integration Supports Up-Down States in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Review
  15. A Distinct Down-to-Up Transition Assembly in the Retrosplenial Cortex during Slow-Wave Sleep.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Network state transitions during cortical development.Nature reviews. Neuroscience · 2024
    Review
  20. Article

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daniel JercogInstitut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.ORCID http://orcid.org/0000-0003-3849-9196
Alex RoxinCentre de Recerca Matemàtica, Bellaterra, Spain.
Peter BarthóMTA TTK NAP B Research Group of Sleep Oscillations, Budapest, Hungary.
Artur LuczakCanadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, Canada.
Albert Compte *Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Jaime de la Rocha *Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3314-9384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the idling brain, neuronal circuits transition between periods of sustained firing (UP state) and quiescence (DOWN state), a pattern the mechanisms of which remain unclear. Here we analyzed spontaneous cortical population activity from anesthetized rats and found that UP and DOWN durations were highly variable and that population rates showed no significant decay during UP periods. We built a network rate model with excitatory (E) and inhibitory (I) populations exhibiting a novel bistable regime between a quiescent and an inhibition-stabilized state of arbitrarily low rate. Fluctuations triggered state transitions, while adaptation in E cells paradoxically caused a marginal decay of E-rate but a marked decay of I-rate in UP periods, a prediction that we validated experimentally. A spiking network implementation further predicted that DOWN-to-UP transitions must be caused by synchronous high-amplitude events. Our findings provide evidence of bistable cortical networks that exhibit non-rhythmic state transitions when the brain rests.

Indexed as

Models, NeurologicalAction PotentialsAdaptation, PhysiologicalAnesthesiaAnimalsBrain MappingMaleNeuronsRats, Sprague-DawleySomatosensory CortexUrethaneUrethanebistabilitycomputational network modelcortical circuitneuroscienceratup down states

Identifiers

PMID28826485
PMCPMC5582872

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.