Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, P.O. Box 12200, 00076, Aalto, Finland.
Ann Biomed Eng. 2017 Oct;45(10):2360-2372. doi: 10.1007/s10439-017-1872-y. Epub 2017 Jun 15.
This study introduces a novel retinal temperature determination method based on the temperature dependent properties of photoresponses recorded by electroretinography (ERG). The kinetics and amplitudes of ERG photoresponses depend on retinal temperature. Additionally, raising retinal temperature increases the probability of long-wavelength photon absorption, which manifests as temperature dependence of photoreceptor sensitivity. In this study we extract a number of features that represent these properties from the a- and b-waves of mouse ex vivo ERG flash responses and construct three multivariable regression models between temperature and the selected features. The performance of these models was evaluated against a separate test dataset and for two of the models, an RMS temperature determination error of less than 0.50 °C could be reached. Our results demonstrate that the method can be successfully used for reliable retinal temperature determination ex vivo. The method, reflecting the temperature of distal retina, can be applied also in the estimation of retinal pigment epithelium temperature.
本研究提出了一种基于视网膜电图(ERG)记录的光反应的温度依赖性来测定视网膜温度的新方法。ERG 光反应的动力学和幅度取决于视网膜温度。此外,升高视网膜温度会增加长波长光子吸收的概率,这表现为光感受器敏感性的温度依赖性。在这项研究中,我们从离体小鼠 ERG 闪光反应的 a 波和 b 波中提取了一些表示这些特性的特征,并构建了温度与所选特征之间的三个多变量回归模型。我们使用单独的测试数据集对这些模型的性能进行了评估,对于其中两个模型,可达到 RMS 温度测定误差小于 0.50°C。我们的结果表明,该方法可成功用于离体的可靠视网膜温度测定。该方法反映了远端视网膜的温度,也可用于估计视网膜色素上皮层的温度。