本文選題：頭皮腦電 + 皮層腦電��； 參考：《燕山大學(xué)》2015年碩士論文

【摘要】：同步已經(jīng)成為描述全身麻醉下腦區(qū)之間信息傳遞神經(jīng)生理機制的重要工具。不同同步方法在反應(yīng)不同麻醉狀態(tài)下的腦電信號形式表現(xiàn)各自的性能特點。然而,丙泊酚誘導(dǎo)的麻醉過程中不同腦區(qū)上的同步性變化還沒有完全闡述清楚。本文計算了七個受試者在丙泊酚全身麻醉過程中雙通道頭皮信號的同步指標(biāo)值。為了評估同步指標(biāo)的性能及指標(biāo)之間相關(guān)性,計算了同步指標(biāo)與雙頻譜指數(shù)和丙泊酚效應(yīng)室濃度之間的預(yù)測概率、不同麻醉狀態(tài)下的變異系數(shù)以及皮爾遜相關(guān)系數(shù)。結(jié)果表明,不同同步方法在評估麻醉過程中雙通道頭皮信號間的同步變化具有不同的表現(xiàn)形式。排序交叉互信息,確定性在預(yù)測雙頻譜指數(shù)和跟隨效應(yīng)室濃度的性能上優(yōu)于非線性相互依存,基于核密度估計的互信息和交叉互相關(guān)。排序互信息和非線性相互依存指標(biāo)值在無意識期有明顯的升高,在恢復(fù)期有明顯的下降,但對基于核估計的互信息,確定性和小波一致性,則趨勢相反�；谙辔绘i的相位同步指標(biāo)值在無意識期降低,但在恢復(fù)期卻沒有顯著變化。本文還通過相位幅度耦合方法分析了三個癲癇病人在丙泊酚麻醉下64通道的皮層信號同步變化。時變相位幅度調(diào)制圖和基于Kullback-Leibler距離的調(diào)制指標(biāo)用來分析了清醒期和無意識期三個病人在額葉、頂葉、枕葉和顳葉皮層中低頻的慢波振蕩(1Hz)、δ(1-4Hz)振蕩、θ(4-8Hz)振蕩和高頻的α(8-13Hz)振蕩、β(13-30Hz)振蕩、γ1(30-40Hz)振蕩之間的相位幅度耦合模式和耦合強度。結(jié)果表明,丙泊酚對不同皮層區(qū)域中不同頻段之間的相位幅度耦合有不同的影響。相位幅度耦合“波谷-最大”模式出現(xiàn)在清醒期頂葉和枕葉皮層的調(diào)控中,“波峰-最大”模式出現(xiàn)在無意識期的額葉、頂葉和枕葉皮層的調(diào)控中。此外,新發(fā)現(xiàn)的被稱之為“下降沿-最大”模式的新的相位幅度耦合模式則主要出現(xiàn)在意識消失之后的額葉、頂葉和枕葉皮層中的調(diào)控中。
[Abstract]:Synchronization has become an important tool to describe the neurophysiological mechanism of information transmission between brain regions under general anesthesia. Different synchronization methods show their own performance characteristics in response to different anesthetic state. However, the changes of synchronism in different brain regions during propofol induced anesthesia have not been fully explained. The synchronous scalp signals of seven subjects during general anesthesia with propofol were calculated. In order to evaluate the performance of synchronization index and its correlation, the prediction probability of synchronization index, bispectral index and propofol effect chamber concentration, the coefficient of variation and Pearson correlation coefficient under different anesthetic conditions were calculated. The results showed that different synchronization methods had different forms in evaluating the synchronization changes between two channels scalp signals during anaesthesia. Ranking cross-mutual information, deterministic performance in predicting bispectral exponent and concentration of following effect chamber is superior to nonlinear interdependence, and mutual information and cross-correlation based on kernel density estimation. The values of ranking mutual information and nonlinear interdependence index increased obviously in unconscious period and decreased obviously in convalescence period, but for mutual information based on kernel estimation, deterministic and wavelet consistency showed the opposite trend. The phase synchronization index based on phase lock decreased in the unconscious period, but did not change significantly in the recovery period. The synchronous changes of 64 channel cortical signals in three epileptic patients under propofol anesthesia were also analyzed by phase amplitude coupling method. The time-varying phase amplitude modulation map and the modulation index based on Kullback-Leibler distance were used to analyze three patients in frontal lobe and parietal lobe. The phase amplitude coupling mode and coupling intensity between low frequency slow wave oscillations in occipital lobe and temporal cortex (1Hzn, 未 -1-4Hz), 胃 ~ (4-8) Hz) and high-frequency 偽 _ (8-13 ~ (13) Hz), 尾 ~ (13 ~ (13) H _ (z) and 緯 _ 130-40 Hz) oscillations in the occipital lobe and temporal cortex. The results show that propofol has different effects on the phase amplitude coupling between different frequency bands in different cortical regions. The phase amplitude coupling "trough maximum" pattern appears in the regulation of the parietal lobe and occipital cortex in the awake period, and the "peak maximum" pattern in the frontal, parietal and occipital cortex in the unconscious phase. In addition, the newly discovered phase amplitude coupling model, called the "descending edge-maximum" mode, mainly occurs in the frontal, parietal and occipital cortex after consciousness has disappeared.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R614;TN911.6

【共引文獻(xiàn)】

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本文編號：1865769