Neuronal models for sleep-wake regulation and synaptic reorganization in the sleeping hippocampus

被引:18
作者
Best, Janet
Behn, Cecilia Diniz
Poe, Gina. R.
Booth, Victoria
机构
[1] Univ Michigan, Dept Math, Ann Arbor, MI 48109 USA
[2] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
[3] Ohio State Univ, Math Biosci Inst, Columbus, OH 43210 USA
[4] Harvard Univ, Sch Med, Div Sleep Med, Boston, MA 02115 USA
[5] Brigham & Womens Hosp, Boston, MA 02115 USA
[6] Beth Israel Deaconess Med Ctr, Dept Neurol, Boston, MA 02215 USA
[7] Univ Michigan, Dept Anesthesiol, Ann Arbor, MI 48109 USA
[8] Univ Michigan, Dept Mol & Integrat Physiol, Ann Arbor, MI 48109 USA
关键词
sleep-wake transitions; development; REM sleep; hippocampus; learning;
D O I
10.1177/0748730407301239
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article, we discuss mathematical models that address the control of sleep-wake behavior in the infant and adult rodent and a model that addresses changes in single-cell firing patterns in the hippocampus across wake and rapid eye movement (REM) sleep states. Each of the models describes the dynamics of experimentally identified neuronal components - either the fixing activity of wake-and sleep-promoting neuronal populations or the spiking activity of hippocampal pyramidal neurons. Our discussion of each model illustrates how a mathematical model that describes the temporal dynamics of the modeled neuronal components can reveal specifics about proposed neuronal mechanisms that underlie sleep-wake regulation or sleep-specific firing patterns. For example, the dynamics of the models developed for sleep-wake regulation in the infant rodent lend insight into the involved brain-stem neuronal populations and the evolution of the network during maturation. The results of the model for sleep-wake regulation in the adult rodent suggest distinct properties of the involved neuronal populations and their interactions that account for long-lasting and brief waking bouts. The dynamics of the model for sleep-specific hippocampal neural activity proposes neural mechanisms to account for observed activity changes that can invoke synaptic reorganization associated with learning and memory consolidation.
引用
收藏
页码:220 / 232
页数:13
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