Evidence map›Paper›PMID 19562084›Full record

ArticleFrontiers in integrative neuroscience2009

Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus.

David P Nguyen, Fabian Kloosterman, Riccardo Barbieri, Emery N Brown, Matthew A Wilson

Open access · greenAbstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
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

10 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Mechanisms of neural organization and rhythmogenesis during hippocampal and cortical ripples.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  3. Impairment of Sharp-Wave Ripples in a Murine Model of Dravet Syndrome.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  4. Feedback and Feedforward Inhibition May Resonate Distinctly in the Ripple Symphony.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  5. Hippocampal Ripple Oscillations and Inhibition-First Network Models: Frequency Dynamics and Response to GABA Modulators.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

David P NguyenPicower Institute for Learning and Memory, Massachusetts Institute of Technology Cambridge, MA, USA.
Fabian Kloosterman
Riccardo Barbieri
Emery N Brown
Matthew A Wilson
Massachusetts Institute of Technology · USBoston University · US

Funding

STATISTICAL ANALYSIS OF HIPPOCAMPAL INFORMATION ENCODINGR01MH059733 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BROWN, EMERY N · 2000 to 2008
$3.0M
Point Process Models of Human Heart Beat Interval DynamicsR01HL084502 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BARBIERI, RICCARDO · 2007 to 2011
$2.0M
NHLBI NIH HHS R01 HL084502NIMH NIH HHS R01 MH059733
6 · The paper itself

Abstract

Fast oscillations or "ripples" are found in the local field potential (LFP) of the rodent hippocampus during awake and sleep states. Ripples have been found to correlate with memory related neural processing, however, the functional role of the ripple has yet to be fully established. We applied a Kalman smoother based estimator of instantaneous frequency (iFreq) and frequency modulation (FM) to ripple oscillations recorded in-vivo from region CA1 of the rat and mouse hippocampus during slow wave sleep. We found that (1) ripples exhibit stereotypical frequency dynamics that are consistent in the rat and mouse, (2) instantaneous frequency information may be used as an additional dimension in the classification of ripple events, and (3) the instantaneous frequency structure of ripples may be used to improve the detection of ripple events by reducing Type I and Type II errors. Based on our results, we propose that high temporal and spectral resolution estimates of frequency dynamics may be used to help elucidate the mechanisms of ripple generation and memory related processing.

Indexed as

frequency modulationhippocampusinstantaneous frequencyKalman filterripple

Identifiers

PMID19562084
PMCPMC2701674
OpenAlexW1515107767

What OpenQuestion holds

Textmetadata
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.