Neuronal oscillations on an ultra-slow timescale: daily rhythms in electrical activity and gene expression in the mammalian master circadian clockwork

Mino D.C. Belle, Casey O. Diekman

Research output: Contribution to journalReview article

8 Scopus citations

Abstract

Neuronal oscillations of the brain, such as those observed in the cortices and hippocampi of behaving animals and humans, span across wide frequency bands, from slow delta waves (0.1 Hz) to ultra-fast ripples (600 Hz). Here, we focus on ultra-slow neuronal oscillators in the hypothalamic suprachiasmatic nuclei (SCN), the master daily clock that operates on interlocking transcription-translation feedback loops to produce circadian rhythms in clock gene expression with a period of near 24 h (< 0.001 Hz). This intracellular molecular clock interacts with the cell's membrane through poorly understood mechanisms to drive the daily pattern in the electrical excitability of SCN neurons, exhibiting an up-state during the day and a down-state at night. In turn, the membrane activity feeds back to regulate the oscillatory activity of clock gene programs. In this review, we emphasise the circadian processes that drive daily electrical oscillations in SCN neurons, and highlight how mathematical modelling contributes to our increasing understanding of circadian rhythm generation, synchronisation and communication within this hypothalamic region and across other brain circuits.

Original languageEnglish (US)
Pages (from-to)2696-2717
Number of pages22
JournalEuropean Journal of Neuroscience
Volume48
Issue number8
DOIs
StatePublished - Oct 2018

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

Keywords

  • circadian rhythms
  • clock genes
  • electrical activity
  • mathematical modelling
  • neuronal oscillations
  • suprachiasmatic nuclei

Fingerprint Dive into the research topics of 'Neuronal oscillations on an ultra-slow timescale: daily rhythms in electrical activity and gene expression in the mammalian master circadian clockwork'. Together they form a unique fingerprint.

  • Cite this