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A Cross-Recurrence Analysis of the Pupil Size Fluctuations in Steady Scotopic Conditions

机译:稳态坐位条件下瞳孔大小波动的交叉回归分析

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摘要

Pupil size fluctuations during stationary scotopic conditions may convey information about the cortical state activity at rest. An important link between neuronal network state modulation and pupil fluctuations is the cholinergic and noradrenergic neuromodulatory tone, which is active at cortical level and in the peripheral terminals of the autonomic nervous system (ANS). This work aimed at studying the low- and high-frequency coupled oscillators in the autonomic spectrum (0–0.45 Hz) which, reportedly, drive the spontaneous pupillary fluctuations. To assess the interaction between the oscillators, we focused on the patterns of their trajectories in the phase-space. Firstly, the frequency spectrum of the pupil signal was determined by empirical mode decomposition. Secondly, cross-recurrence quantification analysis was used to unfold the non-linear dynamics. The global and local patterns of recurrence of the trajectories were estimated by two parameters: determinism and entropy. An elliptic region in the entropy-determinism plane (95% prediction area) yielded health-related values of entropy and determinism. We hypothesize that the data points inside the ellipse would likely represent balanced activity in the ANS. Interestingly, the Epworth Sleepiness Scale scores scaled up along with the entropy and determinism parameters. Although other non-linear methods like Short Time Fourier Transform and wavelets are usually applied for analyzing the pupillary oscillations, they rely on strong assumptions like the stationarity of the signal or the a priori knowledge of the shape of the single basis wave. Instead, the cross-recurrence analysis of the non-linear dynamics of the pupil size oscillations is an adaptable diagnostic tool for identifying the different weight of the autonomic nervous system components in the modulation of pupil size changes at rest in non-luminance conditions.
机译:静止暗视情况下的瞳孔大小波动可能传达有关静止状态下皮质状态活动的信息。神经元网络状态调节和瞳孔波动之间的重要联系是胆碱能和去甲肾上腺素能神经调节音,其在皮质水平和自主神经系统(ANS)的外周末端活跃。这项工作旨在研究自主频谱(0-0.45 Hz)中的低频和高频耦合振荡器,据报道,该振荡器会驱动自发性瞳孔波动。为了评估振荡器之间的相互作用,我们集中于相位空间中它们的轨迹模式。首先,通过经验模态分解确定瞳孔信号的频谱。其次,使用交叉递归定量分析来展开非线性动力学。通过两个参数来估计轨迹的整体和局部重复模式:确定性和熵。熵确定性平面中的椭圆区域(预测区域为95%)产生了与健康相关的熵和确定性值。我们假设椭圆内的数据点可能表示ANS中的平衡活动。有趣的是,Epworth困倦量表分数与熵和确定性参数一起增加。尽管通常将其他非线性方法(例如短时傅立叶变换和小波)用于分析瞳孔振荡,但它们依赖于诸如信号平稳性或单基波形状的先验知识之类的强假设。取而代之的是,对瞳孔大小振荡的非线性动力学的交叉递归分析是一种适应性的诊断工具,可用于确定在非亮度条件下静止的瞳孔大小变化的调节中自主神经系统组件的不同权重。

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