Evidence map›Paper›PMID 30517044›Full record

ArticleJournal of neurophysiology2019

Theta-gamma cascades and running speed.

A Sheremet, J P Kennedy, Y Qin, Y Zhou, S D Lovett, S N Burke, A P Maurer

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Spectral dependence as a framework for neural coordination.Current research in neurobiology · 2026
    Article
  3. Article
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  7. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. A Direct Comparison of Theta Power and Frequency to Speed and Acceleration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Spectrum Degradation of Hippocampal LFP During Euthanasia.Frontiers in systems neuroscience · 2021
    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

7 authors.

A SheremetMcKnight Brain Institute, Department of Neuroscience, University of Florida , Gainesville, Florida.
J P KennedyMcKnight Brain Institute, Department of Neuroscience, University of Florida , Gainesville, Florida.
Y QinEngineering School of Sustainable Infrastructure and Environment, University of Florida , Gainesville, Florida.
Y ZhouEngineering School of Sustainable Infrastructure and Environment, University of Florida , Gainesville, Florida.
S D LovettMcKnight Brain Institute, Department of Neuroscience, University of Florida , Gainesville, Florida.
S N BurkeMcKnight Brain Institute, Department of Neuroscience, University of Florida , Gainesville, Florida.
A P MaurerMcKnight Brain Institute, Department of Neuroscience, University of Florida , Gainesville, Florida.

Funding

Testing and forecasting hippocampal theta wave propagation in learning and memoryR01MH109548 · NIMH · UNIVERSITY OF FLORIDA · PI MAURER, ANDREW PORTER · 2016 to 2020
$2.1M
NIMH NIH HHS R01 MH109548
6 · The paper itself

Abstract

Oscillations in the hippocampal local field potential at theta and gamma frequencies are prominent during awake behavior and have demonstrated several behavioral correlates. Both oscillations have been observed to increase in amplitude and frequency as a function of running speed. Previous investigations, however, have examined the relationship between speed and each of these oscillation bands separately. Based on energy cascade models where "…perturbations of slow frequencies cause a cascade of energy dissipation at all frequency scales" (Buzsaki G. Rhythms of the Brain, 2006), we hypothesized that cross-frequency interactions between theta and gamma should increase as a function of speed. We examined these relationships across multiple layers of the CA1 subregion, which correspond to synaptic zones receiving different afferents. Across layers, we found a reliable correlation between the power of theta and the power of gamma, indicative of an amplitude-amplitude relationship. Moreover, there was an increase in the coherence between the power of gamma and the phase of theta, demonstrating increased phase-amplitude coupling with speed. Finally, at higher velocities, phase entrainment between theta and gamma increases. These results have important implications and provide new insights regarding how theta and gamma are integrated for neuronal circuit dynamics, with coupling strength determined by the excitatory drive within the hippocampus. Specifically, rather than arguing that different frequencies can be attributed to different psychological processes, we contend that cognitive processes occur across multiple frequency bands simultaneously with organization occurring as a function of the amount of energy iteratively propagated through the brain. NEW & NOTEWORTHY Often, the theta and gamma oscillations in the hippocampus have been believed to be a consequence of two marginally overlapping phenomena. This perspective, however, runs counter to an alternative hypothesis in which a slow-frequency, high-amplitude oscillation provides energy that cascades into higher frequency, lower amplitude oscillations. We found that as running speed increases, all measures of cross-frequency theta-gamma coupling intensify, providing evidence in favor of the energy cascade hypothesis.

Indexed as

Gamma RhythmAnimalsEvoked PotentialsFemaleHippocampusMaleModels, NeurologicalRatsTheta Rhythmcognitioncouplingcriticalitymemoryrat

Identifiers

PMID30517044
PMCPMC6397401

What OpenQuestion holds

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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.