Evidence map›Paper›PMID 39212203›Full record

ArticleeLife2024

Quantitative modeling of the emergence of macroscopic grid-like representations.

Ikhwan Bin Khalid, Eric T Reifenstein, Naomi Auer, Lukas Kunz, Richard Kempter

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ikhwan Bin Khalid *Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-1783-2834
Eric T Reifenstein *Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-6898-0178
Naomi AuerInstitute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-3978-8531
Lukas Kunz *Department of Epileptology, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-0665-7703
Richard Kempter *Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-5344-2983

Funding

Using Direct Brain Stimulation to Study Cognitive ElectrophysiologyU01NS113198 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2019 to 2023
$6.9M
Bundesministerium für Bildung und Forschung 01GQ1705Bundesministerium für Bildung und Forschung 01GQ1705ADeutsche Forschungsgemeinschaft 327654276 - SFB 1315German Research Foundation 447634521German Research Foundation 527084865NIH HHS U01 NS113198-01
6 · The paper itself

Abstract

When subjects navigate through spatial environments, grid cells exhibit firing fields that are arranged in a triangular grid pattern. Direct recordings of grid cells from the human brain are rare. Hence, functional magnetic resonance imaging (fMRI) studies proposed an indirect measure of entorhinal grid-cell activity, quantified as hexadirectional modulation of fMRI activity as a function of the subject's movement direction. However, it remains unclear how the activity of a population of grid cells may exhibit hexadirectional modulation. Here, we use numerical simulations and analytical calculations to suggest that this hexadirectional modulation is best explained by head-direction tuning aligned to the grid axes, whereas it is not clearly supported by a bias of grid cells toward a particular phase offset. Firing-rate adaptation can result in hexadirectional modulation, but the available cellular data is insufficient to clearly support or refute this option. The magnitude of hexadirectional modulation furthermore depends considerably on the subject's navigation pattern, indicating that future fMRI studies could be designed to test which hypothesis most likely accounts for the fMRI measure of grid cells. Our findings also underline the importance of quantifying the properties of human grid cells to further elucidate how hexadirectional modulations of fMRI activity may emerge.

Indexed as

Entorhinal CortexGrid CellsMagnetic Resonance ImagingModels, NeurologicalHumansSpace Perceptionentorhinal cortexfunctional magnetic resonance imaginggrid cellshumannavigationneurosciencerodents

Identifiers

PMID39212203
PMCPMC11364436

What OpenQuestion holds

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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.