Evidence map›Paper›PMID 26888937›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Cell-Type Specific Phase Precession in Layer II of the Medial Entorhinal Cortex.

Eric T Reifenstein, Christian L Ebbesen, Qiusong Tang, Michael Brecht, Susanne Schreiber, Richard Kempter

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Eric T ReifensteinInstitute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany, Bernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and eric.reifenstein@bccn-berlin.de.
Christian L EbbesenBernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10099 Berlin, Germany.ORCID http://orcid.org/0000-0002-3492-9841
Qiusong TangBernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and.
Michael BrechtBernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and.
Susanne SchreiberInstitute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany, Bernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and.
Richard KempterInstitute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany, Bernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany, and.ORCID http://orcid.org/0000-0002-5344-2983
Humboldt-Universität zu Berlin · DEBernstein Center for Computational Neuroscience Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identity of phase-precessing cells in the entorhinal cortex is unknown. Here, we used a classifier derived from cell-attached recordings to separate putative pyramidal cells and putative stellate cells recorded extracellularly in layer II of the medial entorhinal cortex in rats. Using a novel method to identify single runs as temporal periods of elevated spiking activity, we find that both cell types show phase precession but putative stellate cells show steeper slopes of phase precession and larger phase ranges. As the two classes of cells have different projection patterns, phase precession is differentially passed on to different subregions of the hippocampal formation. SIGNIFICANCE STATEMENT: It is a great challenge for neuroscience to reveal the cellular basis of cognitive functions. One such function is the ability to learn and recollect temporal sequences of events. The representation of sequences in the brain is thought to require temporally structured activity of nerve cells. How different types of neurons generate temporally structured activity is currently unknown. In the present study, we use a computational classification procedure to separate different cell types and find that a subpopulation of cells, so-called stellate neurons, exhibits clear temporal coding. Contrary to the stellate cells, pyramidal cells show weaker temporal coding. This discovery sheds light on the cellular basis of temporal coding in the brain.

Indexed as

AnimalsCA1 Region, HippocampalEntorhinal CortexMaleNeural PathwaysNeuronsPyramidal CellsRatsentorhinal cortexhippocampusphase precessionpyramidal cellstellate celltemporal code

Identifiers

PMID26888937
PMCPMC6602039
OpenAlexW2338208636

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.