Emergence of complex dynamics in a simple model of signaling networks

被引:74
|
作者
Amaral, LAN
Díaz-Guilera, A
Moreira, AA
Goldberger, AL
Lipsitz, LA
机构
[1] Northwestern Univ, Robert R McCormick Sch Engn & Appl Sci, Dept Chem & Biol Engn, Evanston, IL 60208 USA
[2] Harvard Univ, Beth Israel Deaconess Med Ctr, Sch Med, Div Cardiovasc, Boston, MA 02215 USA
[3] Univ Barcelona, Dept Fis Fonamental, E-08028 Barcelona, Spain
[4] Hebrew Rehabil Ctr Aged, Boston, MA 02131 USA
[5] Harvard Univ, Beth Israel Deaconess Med Ctr, Sch Med, Gerontol Div, Boston, MA 02215 USA
关键词
D O I
10.1073/pnas.0404843101
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Various physical, social, and biological systems generate complex fluctuations with correlations across multiple time scales. In physiologic systems, these long-range correlations are altered with disease and aging. Such correlated fluctuations in living systems have been attributed to the interaction of multiple control systems; however, the mechanisms underlying this behavior remain unknown. Here, we show that a number of distinct classes of dynamical behaviors, including correlated fluctuations characterized by 1/f scaling of their power spectra, can emerge in networks of simple signaling units. We found that, under general conditions, complex dynamics can be generated by systems fulfilling the following two requirements, (i) a "small-world" topology and (it) the presence of noise. Our findings support two notable conclusions. First, complex physiologic-like signals can be modeled with a minimal set of components; and second, systems fulfilling conditions i and ii are robust to some degree of degradation (i.e., they will still be able to generate 1/f dynamics).
引用
收藏
页码:15551 / 15555
页数:5
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