Academic Journal

Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth

التفاصيل البيبلوغرافية
العنوان: Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth
المؤلفون: Samora Okujeni, Ulrich Egert
المصدر: eLife, Vol 8 (2019)
بيانات النشر: eLife Sciences Publications Ltd, 2019.
سنة النشر: 2019
المجموعة: LCC:Medicine
LCC:Science
LCC:Biology (General)
مصطلحات موضوعية: neurite outgrowth, neuronal migration, network structure, activity-dependent development, homeostatic regulation, protein kinase C, Medicine, Science, Biology (General), QH301-705.5
الوصف: The spatial distribution of neurons and activity-dependent neurite outgrowth shape long-range interaction, recurrent local connectivity and the modularity in neuronal networks. We investigated how this mesoscale architecture develops by interaction of neurite outgrowth, cell migration and activity in cultured networks of rat cortical neurons and show that simple rules can explain variations of network modularity. In contrast to theoretical studies on activity-dependent outgrowth but consistent with predictions for modular networks, spontaneous activity and the rate of synchronized bursts increased with clustering, whereas peak firing rates in bursts increased in highly interconnected homogeneous networks. As Ca2+ influx increased exponentially with increasing network recruitment during bursts, its modulation was highly correlated to peak firing rates. During network maturation, long-term estimates of Ca2+ influx showed convergence, even for highly different mesoscale architectures, neurite extent, connectivity, modularity and average activity levels, indicating homeostatic regulation towards a common set-point of Ca2+ influx.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2050-084X
Relation: https://elifesciences.org/articles/47996; https://doaj.org/toc/2050-084X
DOI: 10.7554/eLife.47996
URL الوصول: https://doaj.org/article/9fde87c6dfaa4c54a0b04fde1ffc1abb
رقم الانضمام: edsdoj.9fde87c6dfaa4c54a0b04fde1ffc1abb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2050084X
DOI:10.7554/eLife.47996