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Characterization of fiber-optic light delivery and light-induced temperature changes in a rodent brain for precise optogenetic neuromodulation.用于精确光遗传学神经调节的啮齿动物大脑中光纤光传输及光致温度变化的特性研究
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本文引用的文献

1
Mesh-based Monte Carlo method for fibre-optic optogenetic neural stimulation with direct photon flux recording strategy.基于网格的蒙特卡罗方法用于光纤光遗传学神经刺激及直接光子通量记录策略
Phys Med Biol. 2016 Mar 21;61(6):2265-82. doi: 10.1088/0031-9155/61/6/2265. Epub 2016 Feb 25.
2
OptogenSIM: a 3D Monte Carlo simulation platform for light delivery design in optogenetics.OptogenSIM:一种用于光遗传学中光传输设计的三维蒙特卡罗模拟平台。
Biomed Opt Express. 2015 Nov 16;6(12):4859-70. doi: 10.1364/BOE.6.004859. eCollection 2015 Dec 1.
3
Computational Study on the Thermal Effects of Implantable Magnetic Stimulation Based on Planar Coils.基于平面线圈的植入式磁刺激热效应的计算研究
IEEE Trans Biomed Eng. 2016 Jan;63(1):158-67. doi: 10.1109/TBME.2015.2490244. Epub 2015 Oct 14.
4
Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics.体内光遗传学中光与热传播的时空动力学建模
Cell Rep. 2015 Jul 21;12(3):525-34. doi: 10.1016/j.celrep.2015.06.036. Epub 2015 Jul 9.
5
Lensed fiber-optic probe design for efficient photon collection in scattering media.用于在散射介质中高效收集光子的带透镜光纤探头设计。
Biomed Opt Express. 2014 Dec 17;6(1):191-210. doi: 10.1364/BOE.6.000191. eCollection 2015 Jan 1.
6
Light scattering properties vary across different regions of the adult mouse brain.光散射特性在成年老鼠大脑的不同区域有所不同。
PLoS One. 2013 Jul 9;8(7):e67626. doi: 10.1371/journal.pone.0067626. Print 2013.
7
Modeling of the temporal effects of heating during infrared neural stimulation.红外神经刺激加热时间效应的建模。
J Biomed Opt. 2013 Mar;18(3):035004. doi: 10.1117/1.JBO.18.3.035004.
8
fMRI response to blue light delivery in the naïve brain: implications for combined optogenetic fMRI studies.初态大脑对蓝光照射的功能磁共振成像反应:对光遗传学功能磁共振成像联合研究的启示。
Neuroimage. 2013 Feb 1;66:634-41. doi: 10.1016/j.neuroimage.2012.10.074. Epub 2012 Nov 2.
9
Theoretical principles underlying optical stimulation of a channelrhodopsin-2 positive pyramidal neuron.光刺激通道视紫红质-2 阳性锥体神经元的理论原理。
J Neurophysiol. 2012 Jun;107(12):3235-45. doi: 10.1152/jn.00501.2011. Epub 2012 Mar 21.
10
Principles for applying optogenetic tools derived from direct comparative analysis of microbial opsins.从微生物视蛋白的直接比较分析中得出的光遗传学工具应用原则。
Nat Methods. 2011 Dec 18;9(2):159-72. doi: 10.1038/nmeth.1808.

用于精确光遗传学神经调节的啮齿动物大脑中光纤光传输及光致温度变化的特性研究

Characterization of fiber-optic light delivery and light-induced temperature changes in a rodent brain for precise optogenetic neuromodulation.

作者信息

Shin Younghoon, Yoo Minsu, Kim Hyung-Sun, Nam Sung-Ki, Kim Hyoung-Ihl, Lee Sun-Kyu, Kim Sohee, Kwon Hyuk-Sang

机构信息

Department of Biomedical Science and Engineering, and Gwangju Institute of Science and Technology (GIST), 123 Cheomdan-Gwagiro, Buk-Gu, Gwangju 61005, South Korea.

Graduate Program in Computational Neuroscience, University of Chicago, Chicago, Illinois 60637, USA.

出版信息

Biomed Opt Express. 2016 Oct 6;7(11):4450-4471. doi: 10.1364/BOE.7.004450. eCollection 2016 Nov 1.

DOI:10.1364/BOE.7.004450
PMID:27895987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5119587/
Abstract

Understanding light intensity and temperature increase is of considerable importance in designing or performing optogenetic experiments. Our study describes the optimal light power at target depth in the rodent brain that would maximize activation of light-gated ion channels while minimizing temperature increase. Monte Carlo (MC) simulations of light delivery were used to provide a guideline for suitable light power at a target depth. In addition, MC simulations with the Pennes bio-heat model using data obtained from measurements with a temperature-measuring cannula having 12.3 mV/°C of thermoelectric sensitivity enabled us to predict tissue heating of 0.116 °C/mW on average at target depth of 563 μm and specifically, a maximum mean plateau temperature increase of 0.25 °C/mW at 100 μm depth for 473 nm light. Our study will help to improve the design and performance of optogenetic experiments while avoiding potential over- and under-illumination.

摘要

在设计或进行光遗传学实验时,了解光强度和温度升高具有相当重要的意义。我们的研究描述了啮齿动物大脑目标深度处的最佳光功率,该功率可在使温度升高最小化的同时,最大程度地激活光门控离子通道。利用光传输的蒙特卡洛(MC)模拟为目标深度处的合适光功率提供指导。此外,使用具有12.3 mV/°C热电灵敏度的温度测量套管测量获得的数据,通过Pennes生物热模型进行的MC模拟使我们能够预测在563μm目标深度处平均组织加热为0.116°C/mW,具体而言,对于473nm光,在100μm深度处最大平均平台温度升高为0.25°C/mW。我们的研究将有助于改进光遗传学实验的设计和性能,同时避免潜在的过度照明和照明不足。