Quantitative modeling of the emergence of macroscopic grid-like representations.
entorhinal cortex
functional magnetic resonance imaging
grid cells
human
navigation
neuroscience
rodents
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
30 Aug 2024
30 Aug 2024
Historique:
received:
21
12
2022
accepted:
11
07
2024
medline:
31
8
2024
pubmed:
31
8
2024
entrez:
30
8
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 39212203
doi: 10.7554/eLife.85742
pii: 85742
pmc: PMC11364436
doi:
pii:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : 327654276 - SFB 1315
Organisme : Bundesministerium für Bildung und Forschung
ID : 01GQ1705
Organisme : Bundesministerium für Bildung und Forschung
ID : 01GQ1705A
Organisme : NIH HHS
ID : U01 NS113198-01
Pays : United States
Organisme : German Research Foundation
ID : 447634521
Organisme : German Research Foundation
ID : 527084865
Informations de copyright
© 2024, Bin Khalid, Reifenstein et al.
Déclaration de conflit d'intérêts
IB, ER, NA, LK, RK No competing interests declared
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