Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 25 von 153

Details

Autor(en) / Beteiligte
Titel
Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity
Ist Teil von
  • Cell, 2022-03, Vol.185 (6), p.1082-1100.e24
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2022
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis. [Display omitted] •A cortical reconstruction describes neuron connectivity, function, and cell biology•Pyramidal areal synapse density appears invariant with distance from the soma•Analysis of connectivity motifs reexamines "non-randomness" in cortical networks•Pyramidal cells with more local connections give stronger and more reliable responses Reconstruction of mouse visual cortex provides capacity for quantitative characterization of organelles, compartments, cells, circuits, and activity and their interrelations.
Sprache
Englisch
Identifikatoren
ISSN: 0092-8674, 1097-4172
eISSN: 1097-4172
DOI: 10.1016/j.cell.2022.01.023
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9337909

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX