Abstract:
We present a method for mapping multifocal Pupillary Response Fields in a short amount of time using a visual stimulus covering 40° of the visual angle divided into nine contiguous sectors simultaneously modulated in luminance at specific, incommensurate, temporal frequencies. We test this multifocal Pupillary Frequency Tagging (mPFT) approach with young healthy participants (N = 36) and show that the spectral power of the sustained pupillary response elicited by 45 s of fixation of this multipartite stimulus reflects the relative contribution of each sector/frequency to the overall pupillary response. We further analyze the phase lag for each temporal frequency as well as several global features related to pupil state. Test/retest performed on a subset of participants indicates good repeatability. We also investigate the existence of structural (RNFL)/functional (mPFT) relationships. We then summarize the results of clinical studies conducted with mPFT on patients with neuropathies and retinopathies and show that the features derived from pupillary signal analyses, the distribution of spectral power in particular, are homologous to disease characteristics and allow for sorting patients from healthy participants with excellent sensitivity and specificity. This method thus appears as a convenient, objective, and fast tool for assessing the integrity of retino-pupillary circuits as well as idiosyncrasies and permits to objectively assess and follow-up retinopathies or neuropathies in a short amount of time.
摘要:
我们提出了一种在短时间内映射多焦点瞳孔响应场的方法,该方法使用覆盖40°视角的视觉刺激,该视觉刺激分为9个连续扇区,同时在特定的亮度下进行调制,不相称,时间频率。我们用年轻的健康参与者(N=36)测试了这种多焦点瞳孔频率标记(mPFT)方法,并表明通过该多部分刺激的固定45s引起的持续瞳孔反应的频谱功率反映了每个扇区/频率对整体瞳孔反应的相对贡献。我们进一步分析了每个时间频率的相位滞后以及与瞳孔状态相关的几个全局特征。对参与者的子集进行的测试/重新测试表明良好的可重复性。我们还研究了结构(RNFL)/功能(mPFT)关系的存在。然后,我们总结了使用mPFT对神经病和视网膜病变患者进行的临床研究的结果,并表明从瞳孔信号分析得出的特征,特别是频谱功率的分布,与疾病特征同源,并允许以出色的敏感性和特异性将患者与健康参与者分类。因此,这种方法看起来很方便,目标,和快速工具,用于评估视网膜-瞳孔回路的完整性以及特质,并允许在短时间内客观评估和随访视网膜病变或神经病变。