Electroencephalographic Evidence for Individual Neural Inertia in Mice That Decreases With Time.
Electroencephalographic Evidence for Individual Neural Inertia in Mice That Decreases With Time.
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DOI：
10.3389/fnsys.2021.787612
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发表时间：
2021
影响因子：
3
通讯作者：
McKinstry-Wu AR
中科院分区：
文献类型：
--
作者：
Wasilczuk AZ;Meng QC;McKinstry-Wu AR
先前的研究表明，大脑对唤醒状态的变化具有内在的抵抗力。这种阻力在全身麻醉的情况下最容易在人群水平上测量，被称为神经惯性。迄今为止，还没有研究试图确定个体的神经惯性。我们假设神经惰性显着增加或减少的个体可能面临与状态转换相关的并发症的风险增加，从麻醉下的意识到苏醒延迟或苏醒后的混乱/障碍。因此，改进对神经惯性的理论和实践理解可能有可能识别出这些并发症风险增加的个体。本研究旨在明确测量个体的神经惯性，并使用小鼠脑电图谱分析来实证测试神经惯性的随机模型。在诱导和苏醒后，在基因近交小鼠中以接近 EC50 剂量施用异氟醚以最小化药代动力学混杂的时间尺度，测量脑电图（EEG）。通过使用线性判别或监督机器学习方法构建的分类器来评估神经惯性，以确定脑电图频谱的特征是否可靠地证明稳态麻醉下的路径依赖性。我们还报告了个体水平以及群体水平上神经惯性的存在，并且神经惯性随着时间的推移而减少，为支持神经惯性随机模型的预测提供了直接的经验证据。
Previous studies have demonstrated that the brain has an intrinsic resistance to changes in arousal state. This resistance is most easily measured at the population level in the setting of general anesthesia and has been termed neural inertia. To date, no study has attempted to determine neural inertia in individuals. We hypothesize that individuals with markedly increased or decreased neural inertia might be at increased risk for complications related to state transitions, from awareness under anesthesia, to delayed emergence or confusion/impairment after emergence. Hence, an improved theoretical and practical understanding of neural inertia may have the potential to identify individuals at increased risk for these complications. This study was designed to explicitly measure neural inertia in individuals and empirically test the stochastic model of neural inertia using spectral analysis of the murine EEG. EEG was measured after induction of and emergence from isoflurane administered near the EC50 dose for loss of righting in genetically inbred mice on a timescale that minimizes pharmacokinetic confounds. Neural inertia was assessed by employing classifiers constructed using linear discriminant or supervised machine learning methods to determine if features of EEG spectra reliably demonstrate path dependence at steady-state anesthesia. We also report the existence of neural inertia at the individual level, as well as the population level, and that neural inertia decreases over time, providing direct empirical evidence supporting the predictions of the stochastic model of neural inertia.
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影响因子：
5.7
作者：
Huang Z;Tarnal V;Vlisides PE;Janke EL;McKinney AM;Picton P;Mashour GA;Hudetz AG
通讯作者：
Hudetz AG
影响因子：
2.4
作者：
Haberham, ZL;van den Brom, WE;Hellebrekers, LJ
通讯作者：
Hellebrekers, LJ
影响因子：
9.8
作者：
Wasilczuk, Andrzej Z.;Harrison, Benjamin A.;Proekt, Alex
通讯作者：
Proekt, Alex
影响因子：
1.2
作者：
Wasilczuk, Andrzej Z.;Proekt, Alexander;McKinstry-Wu, Andrew R.
通讯作者：
McKinstry-Wu, Andrew R.
影响因子：
5
作者：
Voss, Logan J.;Brock, Magdalena;Sleigh, James W.
通讯作者：
Sleigh, James W.