Fast network oscillations in the newborn rat hippocampus in vitro

J. Matias Palva, Karri Lamsa, Sari E. Lauri, Heikki Rauvala, Kai Kaila, Tomi Taira*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

63 Citations (Scopus)

Abstract

Spontaneous neural activity is crucial for the formation of the intricate patterns of cortical connectivity during development. In particular, temporal correlations in presynaptic and postsynaptic activity have been hypothesized to be a critical determinant in the selection of neurons that are to become wired together. To date, however, temporally correlated activity in the neonatal brain has been believed to take place with a precision of tens of milliseconds to seconds. Here we describe a novel type of a fast network oscillation associated with millisecond synchronization of pyramidal cell firing in newborn rat hippocampus in vitro. Individual pyramidal neurons fired mainly at lower gamma frequencies (20-40 Hz) but were synchronized into a high-frequency (100-400 Hz) population oscillation that was reflected in field potential spikes and intracellular AMPA-kainate receptor-mediated currents. The high-frequency population oscillation was patterned by a gamma-frequency modulatory oscillation. The gamma modulation was imposed by GABAergic currents, which exerted an inhibitory action on pyramidal neurons. Patterned activity based on GABAergic inhibition and glutamatergic excitation thus occurs already in newborn hippocampus. The network oscillations described here may be a mechanism for selective coincidence detection with a millisecond range temporal precision to shape the patterns of connectivity within the emerging hippocampal synaptic circuitry.

Original languageEnglish
Pages (from-to)1170-1178
Number of pages9
JournalJOURNAL OF NEUROSCIENCE
Volume20
Issue number3
Publication statusPublished - 1 Feb 2000
MoE publication typeA1 Journal article-refereed

Keywords

  • Coincidence detection
  • GABA(A)
  • Inhibition
  • Neonate
  • Network oscillations
  • Plasticity
  • Synchronization

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