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

Fu Zen Shaw, Ruei Feng Chen, Hen Wai Tsao, Chen Tung Yen

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)101-110
Number of pages10
JournalJournal of Neuroscience Methods
Volume93
Issue number2
DOIs
Publication statusPublished - 1999 Nov 15

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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