Evidence map›Paper›PMID 31355744›Full record

ArticleeLife2019

Sub-second dynamics of theta-gamma coupling in hippocampal CA1.

Lu Zhang, John Lee, Christopher Rozell, Annabelle C Singer

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. When dreams feel real: the MÖBIUS model.Communications biology · 2026
    Review
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  8. Article
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  13. Article
  14. Article
  15. Review
  16. Article
  17. HectoSTAR μLED Optoelectrodes for Large-Scale, High-Precision In Vivo Opto-Electrophysiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  18. A Variable Clock Underlies Internally Generated Hippocampal Sequences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  19. Goal discrimination in hippocampal nonplace cells when place information is ambiguous.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Golden rhythms as a theoretical framework for cross-frequency organization.Neurons, behavior, data analysis, and theory · 2022
    Article
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

4 authors.

Lu ZhangCoulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States.ORCID 0000-0001-7300-1037
John LeeSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United States.
Christopher RozellCoulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States.
Annabelle C SingerCoulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States.ORCID 0000-0001-6003-0488

Funding

Non-Invasive Methods to Drive Neural Activity with Millisecond Precision and to Recruit the Brain’s Immune CellsR01NS109226 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Annabelle Catherine Singer · 2018 to 2026
$2.7M
National Science Foundation CCF-1409422NIH HHS R01 NS109226NINDS NIH HHS R01 NS109226
6 · The paper itself

Abstract

Oscillatory brain activity reflects different internal brain states including neurons' excitatory state and synchrony among neurons. However, characterizing these states is complicated by the fact that different oscillations are often coupled, such as gamma oscillations nested in theta in the hippocampus, and changes in coupling are thought to reflect distinct states. Here, we describe a new method to separate single oscillatory cycles into distinct states based on frequency and phase coupling. Using this method, we identified four theta-gamma coupling states in rat hippocampal CA1. These states differed in abundance across behaviors, phase synchrony with other hippocampal subregions, and neural coding properties suggesting that these states are functionally distinct. We captured cycle-to-cycle changes in oscillatory coupling states and found frequent switching between theta-gamma states showing that the hippocampus rapidly shifts between different functional states. This method provides a new approach to investigate oscillatory brain dynamics broadly.

Indexed as

Gamma RhythmTheta RhythmAnimalsCA1 Region, HippocampalElectroencephalographyRatscommunity clusteringgamma oscillationhippocampusk-meansneurosciencerattheta-gamma couplingwavelet

Identifiers

PMID31355744
PMCPMC6684317

What OpenQuestion holds

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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.