Measurement, modeling, and prediction of temperature rise due to optogenetic brain stimulation.
Measurement, modeling, and prediction of temperature rise due to optogenetic brain stimulation.
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DOI：
10.1117/1.nph.3.4.045007
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发表时间：
2016-10-01
期刊：
影响因子：
5.3
通讯作者：
Lippert, Michael Thomas
中科院分区：
文献类型：
--
作者：
Arias-Gil, Gonzalo;Ohl, Frank Walter;Lippert, Michael Thomas
光遗传学是神经生理学中最重要的技术之一，具有潜在的临床应用前景。然而，所需的强光可能会导致有害的温度上升。到目前为止，在实际的光遗传实验中，还没有可靠地估计大脑温度和安全限度的方法。我们使用热成像来直接测量在激光照射期间活体小鼠大脑表面的这种温度上升，波长和强度是光遗传学的典型。然后我们用一个简单的对数模型来模拟温度上升。我们的结果表明，以前的有限元模型可能会低估温度升高一个数量级。我们通过预测脉冲刺激范式引起的温升来验证我们的经验模型。这些预测与经验数据非常接近，并构成了对实际气温上升的更好估计。此外，我们还提供了一个基于网络的应用程序，便于计算，可以作为光遗传实验安全设计的工具。
Optogenetics is one of the most important techniques in neurophysiology, with potential clinical applications. However, the strong light needed may cause harmful temperature rises. So far, there are no methods to reliably estimate brain heating and safe limits in actual optogenetic experiments. We used thermal imaging to directly measure such temperature rises at the surface of live mouse brains during laser illumination with wavelengths and intensities typical for optogenetics. We then modeled the temperature rise with a simple logarithmic model. Our results indicate that previous finite-element models can underestimate temperature increases by an order of magnitude. We validate our empirical model by predicting the temperature rise caused by pulsed stimulation paradigms. These predictions fit closely to the empirical data and constitute a better estimate of real temperature increases. Additionally, we provide a web-based app for easy calculation that can be used as a tool for safe design of optogenetic experiments.