Literature DB >> 17281882

Detecting brain activity variation of rat during anesthesia by spectral entropy.

Jin Xu1, Chongxun Zheng, Xueliang Liu, Xiaomei Pei, Guixia Jing.   

Abstract

In order to detect and measure the brain activity variation under different depth of anesthesia (DOA), the Spectral Entropy (SE) of electroencephalogram (EEG) of the SD rat was studied in this paper. The SE of EEG was measured under different DOA and the relationship between SE and the DOA was analyzed. The SE of EEG will decrease quickly while the DOA is from light to deep and vice versa, so it can be used to distinguish light and deep anesthesia, but it can not distinguish awake and light anesthesia accurately. Compared with power spectrum, we can see the change of SE is opposite to that of power spectrum. Besides EEG SE analysis, the SE variations of four rhythms of EEG (delta, theta, alpha and beta) also are analyzed. The study shows SE of delta rhythm dynamic change leads to the change of EEG and the delta rhythm is the dominant rhythm of rat during anesthesia.

Entities:  

Year:  2005        PMID: 17281882     DOI: 10.1109/IEMBS.2005.1616113

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  A novel spectral entropy-based index for assessing the depth of anaesthesia.

Authors:  Jee Sook Ra; Tianning Li; Yan Li
Journal:  Brain Inform       Date:  2021-05-12

2.  Multiple blocks of intermittent and continuous theta-burst stimulation applied via transcranial magnetic stimulation differently affect sensory responses in rat barrel cortex.

Authors:  Andreas Thimm; Klaus Funke
Journal:  J Physiol       Date:  2015-01-12       Impact factor: 5.182

  2 in total

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