Algorithmic complexity as an index of cortical function in awake and pentobarbital-anesthetized rats

被引：28

作者：

Shaw, FZ

Chen, RF

Tsao, HW

Yen, CT ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Zool, Taipei 10764, Taiwan

[2] Tzu Chi Coll Med & Humanities, Inst Neurosci, Hualien, Taiwan

[3] Natl Taiwan Univ, Dept Elect Engn, Taipei 10764, Taiwan

来源：

JOURNAL OF NEUROSCIENCE METHODS | 1999年 / 93卷 / 02期

关键词：

chaotic; chronic recording; consciousness; nonlinear; sleep;

D O I：

10.1016/S0165-0270(99)00133-8

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This study introduces algorithmic complexity to measure characteristics of brain functions. The EEG of the rat was recorded with implanted electrodes. The normalized complexity value was relatively independent of data length, and it showed a simpler and easier calculation characteristic than other non-linear indexes. The complexity index revealed significant differences among awake, asleep, and anesthetized states. It may be useful in tracking short-term and long-term changes in brain functions, such as anesthetized depth, drug effects, or sleep-wakefulness. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：101 / 110

页数：10

共 17 条

[1]

BASAR E, 1990, CHAOS BRAIN FUNCTION

[2] INFORMATION-THEORETIC COMPUTATIONAL COMPLEXITY [J].