Frontal-temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia

被引:29
作者
Afshani, Fahimeh [1 ]
Shalbaf, Ahmad [2 ]
Shalbaf, Reza [3 ]
Sleigh, Jamie [4 ]
机构
[1] Islamic Azad Univ, Dept Biomed Engn, Elect Branch, Tehran, Iran
[2] Shahid Beheshti Univ Med Sci, Sch Med, Dept Biomed Engn & Med Phys, Tehran, Iran
[3] Inst Cognit Sci Studies, Tehran, Iran
[4] Waikato Hosp, Dept Anesthesia, Hamilton, New Zealand
关键词
Electroencephalogram; Depth of anesthesia; Mutual information; Bispectral index; APPROXIMATE ENTROPY; DEPTH; ELECTROENCEPHALOGRAM; PROPOFOL; CONSCIOUSNESS; SEVOFLURANE; SYNCHRONIZATION; OSCILLATIONS; POTENTIALS; SEIZURE;
D O I
10.1007/s11571-019-09553-w
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Quantifying brain dynamics during anesthesia is an important challenge for understanding the neurophysiological mechanisms of anesthetic drug effect. Several single channel Electroencephalogram (EEG) indices have been proposed for monitoring anesthetic drug effect. The most commonly used single channel commercial index is the Bispectral index (BIS). However, this monitor has shown some drawbacks. In this study, a nonlinear functional connectivity measure named Standardized Permutation Mutual Information (SPMI) is proposed to describe communication between two-channel EEG signals at frontal and temporal brain regions during a controlled propofol-induced anesthesia and recovery design from eight subjects. The SPMI index has higher correlation with estimated propofol effect-site concentration and has better ability to distinguish three anesthetic states of patient than the other functional connectivity indexes (cross-correlation, coherence, phase analysis) and also the BIS index. Moreover, the SPMI index has a faster reaction to the effect of drug concentration, less variability at the consciousness state and better robustness to noise than BIS.
引用
收藏
页码:531 / 540
页数:10
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