Computational modeling of the relationship between morphological heterogeneity and functional responses in mouse hippocampal astrocytes.
astrocyte
biophysical modeling
calcium dynamics
computational neuroscience
intracellular signaling
morphology
Journal
Frontiers in cellular neuroscience
ISSN: 1662-5102
Titre abrégé: Front Cell Neurosci
Pays: Switzerland
ID NLM: 101477935
Informations de publication
Date de publication:
2024
2024
Historique:
received:
02
08
2024
accepted:
23
09
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
epublish
Résumé
Recent studies indicate that astrocytes show heterogeneity in morphology and physiological function. They integrate synaptic signals and release calcium in reaction to active neurons. These calcium signals are not yet fully understood as they are highly dependent on the cell's morphology, which can vary across and within brain regions. We found structural heterogeneity among mouse hippocampal CA1 astrocytes based on geometric features, clustering 741 cells into six classes. Of those, we selected 84 cells and reconstructed their morphology based on confocal microscope images and converted them into multi-compartment models with a high detailedness. We applied a computational biophysical model simulating the intracellular ion and IP
Identifiants
pubmed: 39484184
doi: 10.3389/fncel.2024.1474948
pmc: PMC11524972
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1474948Informations de copyright
Copyright © 2024 Freund, Mayr, Winkler, Weber, Tervonen, Refaeli and Lenk.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.