Evidence map›Paper›PMID 28362398›Full record

ArticleJournal of visualized experiments : JoVE2017

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG.

Ralf Müller, Anna Papazoglou, Julien Soos, Andreas Lundt, Carola Wormuth, Christina Henseler, Dan Ehninger, Karl Broich, Marco Weiergräber

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Breeding of CaScientific reports · 2021
    Article
  4. Article
  5. 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

9 authors.

Ralf MüllerDepartment of Psychiatry and Psychotherapy, University of Cologne.
Anna PapazoglouDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
Julien SoosDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
Andreas LundtDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
Carola WormuthDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
Christina HenselerDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
Dan EhningerMolecular and Cellular Cognition Lab, German Center for Neurodegenerative Diseases.
Karl BroichFederal Institute for Drugs and Medical Devices.
Marco WeiergräberDepartment of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices; Marco.Weiergraeber@bfarm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theta activity is generated in the septohippocampal system and can be recorded using deep intrahippocampal electrodes and implantable electroencephalography (EEG) radiotelemetry or tether system approaches. Pharmacologically, hippocampal theta is heterogeneous (see dualistic theory) and can be differentiated into type I and type II theta. These individual EEG subtypes are related to specific cognitive and behavioral states, such as arousal, exploration, learning and memory, higher integrative functions, etc. In neurodegenerative diseases such as Alzheimer's, structural and functional alterations of the septohippocampal system can result in impaired theta activity/oscillations. A standard quantitative analysis of the hippocampal EEG includes a Fast-Fourier-Transformation (FFT)-based frequency analysis. However, this procedure does not provide details about theta activity in general and highly-organized theta oscillations in particular. In order to obtain detailed information on highly-organized theta oscillations in the hippocampus, we have developed a new analytical approach. This approach allows for time- and cost-effective quantification of the duration of highly-organized theta oscillations and their frequency characteristics.

Indexed as

AnimalsArecolineElectrodes, ImplantedElectroencephalographyHippocampusMice, Inbred C57BLPilocarpineSignal Processing, Computer-AssistedTelemetryTheta RhythmUrethaneArecolinePilocarpineUrethane

Identifiers

PMID28362398
PMCPMC5408731

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.