Evidence map›Paper›PMID 30083600›Full record

ArticleScience advances2018

Multiplexed oscillations and phase rate coding in the basal forebrain.

David Tingley, Andrew S Alexander, Laleh K Quinn, Andrea A Chiba, Douglas Nitz

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Spontaneous Spiking Is Governed by Broadband Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Neurobiologically Inspired Self-Monitoring Systems.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020
    Article
  18. Review
  19. Specific Basal Forebrain-Cortical Cholinergic Circuits Coordinate Cognitive Operations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Review
  20. Review
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

5 authors.

David TingleyNew York University (NYU) Neuroscience Institute, School of Medicine, NYU, New York, NY 10016, USA.ORCID 0000-0003-4263-0476
Andrew S AlexanderDepartment of Cognitive Science, University of California, San Diego, San Diego, CA 92093-0515, USA.
Laleh K QuinnDepartment of Cognitive Science, University of California, San Diego, San Diego, CA 92093-0515, USA.ORCID 0000-0003-2369-6533
Andrea A ChibaDepartment of Cognitive Science, University of California, San Diego, San Diego, CA 92093-0515, USA.ORCID 0000-0002-3319-8274
Douglas NitzDepartment of Cognitive Science, University of California, San Diego, San Diego, CA 92093-0515, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex behaviors demand temporal coordination among functionally distinct brain regions. The basal forebrain's afferent and efferent structure suggests a capacity for mediating this coordination at a large scale. During performance of a spatial orientation task, synaptic activity in this region was dominated by four amplitude-independent oscillations temporally organized by the phase of the slowest, a theta-frequency rhythm. Oscillation amplitudes were also organized by task epoch and positively correlated to the task-related modulation of individual neuron firing rates. For many neurons, spiking was temporally organized through phase precession against theta band field potential oscillations. Theta phase precession advanced in parallel to task progression, rather than absolute spatial location or time. Together, the findings reveal a process by which associative brain regions can integrate independent oscillatory inputs and transform them into sequence-specific, rate-coded outputs that are adaptive to the pace with which organisms interact with their environment.

Indexed as

Models, NeurologicalSpace PerceptionAnimalsBasal ForebrainMaleNeuronsRatsRats, Long-EvansTheta Rhythm

Identifiers

PMID30083600
PMCPMC6070333

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.