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Gates and Oscillators: A Network Model of the Brain Clock
- Source :
- Journal of Biological Rhythms. 18:339-350
- Publication Year :
- 2003
- Publisher :
- SAGE Publications, 2003.
-
Abstract
- The suprachiasmatic nuclei (SCN) control circadian oscillations of physiology and behavior. Measurements of electrical activity and of gene expression indicate that these heterogeneous structures are composed of both rhythmic and nonrhythmic cells. A fundamental question with regard to the organization of the circadian system is how the SCN achieve a coherent output while their constituent independent cellular oscillators express a wide range of periods. Previously, the consensus output of individual oscillators had been attributed to coupling among cells. The authors propose a model that incorporates nonrhythmic “gate” cells and rhythmic oscillator cells with a wide range of periods, that neither requires nor excludes a role for interoscillator coupling. The gate provides daily input to oscillator cells and is in turn regulated (directly or indirectly) by the oscillator cells. In the authors' model, individual oscillators with initial random phases are able to self-assemble so as to maintain cohesive rhythmic output. In this view, SCN circuits are important for self-sustained oscillation, and their network properties distinguish these nuclei from other tissues that rhythmically express clock genes. The model explains how individual SCN cells oscillate independently and yet work together to produce a coherent rhythm.
- Subjects :
- 0301 basic medicine
Physics
Physiology
Oscillation
Suprachiasmatic nucleus
Models, Neurological
Article
Coupling (electronics)
CLOCK
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Rhythm
Biological Clocks
Physiology (medical)
Zeitgeber
Animals
Computer Simulation
Suprachiasmatic Nucleus
Circadian rhythm
Neuroscience
030217 neurology & neurosurgery
Network model
Subjects
Details
- ISSN :
- 15524531 and 07487304
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Biological Rhythms
- Accession number :
- edsair.doi.dedup.....957ab17db303ad18dbe52454196ea373
- Full Text :
- https://doi.org/10.1177/0748730403253840