Evidence map›Paper›PMID 29887797›Full record

ReviewFrontiers in systems neuroscience2018

Multiple Approaches to the Investigation of Cell Assembly in Memory Research-Present and Future.

Yoshio Sakurai, Yuma Osako, Yuta Tanisumi, Eriko Ishihara, Junya Hirokawa, Hiroyuki Manabe

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in systems neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Emotional Memory Processing during REM Sleep with Implications for Post-Traumatic Stress Disorder.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  5. Article
  6. Review
  7. Review
  8. 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 1 institution in 1 country.

Yoshio SakuraiLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Yuma OsakoLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Yuta TanisumiLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Eriko IshiharaLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Junya HirokawaLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Hiroyuki ManabeLaboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyoto, Japan.
Doshisha University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review article we focus on research methodologies for detecting the actual activity of cell assemblies, which are populations of functionally connected neurons that encode information in the brain. We introduce and discuss traditional and novel experimental methods and those currently in development and briefly discuss their advantages and disadvantages for the detection of cell-assembly activity. First, we introduce the electrophysiological method, i.e., multineuronal recording, and review former and recent examples of studies showing models of dynamic coding by cell assemblies in behaving rodents and monkeys. We also discuss how the firing correlation of two neurons reflects the firing synchrony among the numerous surrounding neurons that constitute cell assemblies. Second, we review the recent outstanding studies that used the novel method of optogenetics to show causal relationships between cell-assembly activity and behavioral change. Third, we review the most recently developed method of live-cell imaging, which facilitates the simultaneous observation of firings of a large number of neurons in behaving rodents. Currently, all these available methods have both advantages and disadvantages, and no single measurement method can directly and precisely detect the actual activity of cell assemblies. The best strategy is to combine the available methods and utilize each of their advantages with the technique of operant conditioning of multiple-task behaviors in animals and, if necessary, with brain-machine interface technology to verify the accuracy of neural information detected as cell-assembly activity.

Indexed as

brain-machine interfacecell assemblylive cell imagingmultineuronal recordingoptogenetics

Identifiers

PMID29887797
PMCPMC5980992
OpenAlexW2799609698

What OpenQuestion holds

Textmetadata
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.