Lambers Henriette, Wachsmuth Lydia, Thomas Dominik, Boumezbeur Fawzi, Hoesker Vanessa, Pradier Bruno, Faber Cornelius
University Hospital Münster, Translational Research Imaging Center (TRIC), Clinic for Radiology, Münster, Germany.
NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-Sur-Yvette, France.
Neurophotonics. 2022 Jul;9(3):032212. doi: 10.1117/1.NPh.9.3.032212. Epub 2022 May 9.
Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based recordings is hampered by massive confounding effects and has therefore been scarcely reported. We aim to investigate whether fiber-based lactate recordings in the rodent brain are feasible with FRET sensors and implement a correction algorithm for the predominant hemodynamic artifact. We performed fiber-based FRET recordings of lactate (Laconic) and calcium (Twitch-2B) simultaneously with functional MRI and pharmacological MRI. MR-derived parameters were applied to correct hemodynamic artifacts. Results of FRET measurements were validated by local field potential, magnetic resonance spectroscopy, and blood analysis. Hemodynamic artifacts dominated fiber-based FRET measurements with both Laconic and Twitch-2B. Our MR-based correction algorithm enabled to remove the artifacts and detect lactate and calcium changes during sensory stimulation or intravenous lactate injections. fiber-based lactate recordings are feasible using FRET-based sensors. However, signal corrections are required. MR-derived hemodynamic parameters can successfully be applied for artifact correction.
在通过共聚焦显微镜研究神经生理学时，荧光共振能量转移（FRET）传感器具有巨大优势。然而，它们在基于光纤的记录中的应用受到大量混杂效应的阻碍，因此鲜有报道。我们旨在研究在啮齿动物大脑中基于光纤的乳酸记录使用FRET传感器是否可行，并针对主要的血液动力学伪影实施一种校正算法。我们同时使用功能磁共振成像和药物磁共振成像对乳酸（Laconic）和钙（Twitch-2B）进行了基于光纤的FRET记录。利用磁共振衍生参数校正血液动力学伪影。通过局部场电位、磁共振波谱和血液分析对FRET测量结果进行验证。血液动力学伪影在基于光纤的Laconic和Twitch-2B的FRET测量中占主导地位。我们基于磁共振的校正算法能够去除伪影，并在感觉刺激或静脉注射乳酸期间检测到乳酸和钙的变化。使用基于FRET的传感器进行基于光纤的乳酸记录是可行的。然而，需要进行信号校正。磁共振衍生的血液动力学参数可成功用于伪影校正。
