Evidence map›Paper›PMID 34731677›Full record

ArticleCurrent biology : CB2022

Ripple band phase precession of place cell firing during replay.

Daniel Bush, H Freyja Ólafsdóttir, Caswell Barry, Neil Burgess

Abstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023
    Article
  6. 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

4 authors.

Daniel BushUCL Institute of Cognitive Neuroscience, Queen Square, London, UK; UCL Institute of Neurology, Queen Square, London, UK. Electronic address: drdanielbush@gmail.com.
H Freyja ÓlafsdóttirDonders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.
Caswell BarryUCL Department of Cell and Developmental Biology, Gower Street, London, UK. Electronic address: caswell.barry@ucl.ac.uk.
Neil BurgessUCL Institute of Cognitive Neuroscience, Queen Square, London, UK; UCL Institute of Neurology, Queen Square, London, UK.

Funding

Wellcome TrustWellcome Trust 202805/Z/16/ZWellcome Trust 212281/Z/18/Z
6 · The paper itself

Abstract

Neuronal "replay," in which place cell firing during rest recapitulates recently experienced trajectories, is thought to mediate the transmission of information from hippocampus to neocortex, but the mechanism for this transmission is unknown. Here, we show that replay uses a phase code to represent spatial trajectories by the phase of firing relative to the 150- to 250-Hz "ripple" oscillations that accompany replay events. This phase code is analogous to the theta phase precession of place cell firing during navigation, in which place cells fire at progressively earlier phases of the 6- to 12-Hz theta oscillation as their place field is traversed, providing information about self-location that is additional to the rate code and a necessary precursor of replay. Thus, during replay, each ripple cycle contains a "forward sweep" of decoded locations along the recapitulated trajectory. Our results indicate a novel encoding of trajectory information during replay and implicates phase coding as a general mechanism by which the hippocampus transmits experienced and replayed sequential information to downstream targets.

Indexed as

Place CellsAction PotentialsHippocampusNeuronsTheta Rhythmhippocampusphase codingplace cellsreplaysharp-wave ripplestheta oscillations

Identifiers

PMID34731677
PMCPMC8751637

What OpenQuestion holds

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LicenceCC BY
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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.