dc.contributor.author
Bin Khalid, Ikhwan
dc.contributor.author
Reifenstein, Eric T.
dc.contributor.author
Auer, Naomi
dc.contributor.author
Kunz, Lukas
dc.contributor.author
Kempter, Richard
dc.date.accessioned
2024-10-22T11:46:49Z
dc.date.available
2024-10-22T11:46:49Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/45354
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-45066
dc.description.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.
en
dc.format.extent
34 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
entorhinal cortex
en
dc.subject
functional magnetic resonance imaging
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Quantitative modeling of the emergence of macroscopic grid-like representations
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e85742
dcterms.bibliographicCitation.doi
10.7554/eLife.85742
dcterms.bibliographicCitation.journaltitle
eLife
dcterms.bibliographicCitation.volume
13
dcterms.bibliographicCitation.url
https://doi.org/10.7554/eLife.85742
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2050-084X
refubium.resourceType.provider
WoS-Alert