首页> 美国卫生研究院文献>Journal of Cerebral Blood Flow Metabolism >Large field-of-view movement-compensated intrinsic optical signal imaging for the characterization of the haemodynamic response to spreading depolarizations in large gyrencephalic brains
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Large field-of-view movement-compensated intrinsic optical signal imaging for the characterization of the haemodynamic response to spreading depolarizations in large gyrencephalic brains

机译:大视场运动补偿的固有光学信号成像用于表征对大回旋脑的扩展去极化的血流动力学响应

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摘要

Haemodynamic responses to spreading depolarizations (SDs) have an important role during the development of secondary brain damage. Characterization of the haemodynamic responses in larger brains, however, is difficult due to movement artefacts. Intrinsic optical signal (IOS) imaging, laser speckle flowmetry (LSF) and electrocorticography were performed in different configurations in three groups of in total 18 swine. SDs were elicited by topical application of KCl or occurred spontaneously after middle cerebral artery occlusion. Movement artefacts in IOS were compensated by an elastic registration algorithm during post-processing. Using movement-compensated IOS, we were able to differentiate between four components of optical changes, corresponding closely with haemodynamic variations measured by LSF. Compared with ECoG and LSF, our setup provides higher spatial and temporal resolution, as well as a better signal-to-noise ratio. Using IOS alone, we could identify the different zones of infarction in a large gyrencephalic middle cerebral artery occlusion pig model. We strongly suggest movement-compensated IOS for the investigation of the role of haemodynamic responses to SDs during the development of secondary brain damage and in particular to examine the effect of potential therapeutic interventions in gyrencephalic brains.
机译:在继发性脑损伤的发生过程中,对血流动力学的反应对扩散的去极化(SDs)具有重要作用。但是,由于运动伪影,很难在较大的大脑中表征血液动力学反应。在总共18头猪的三组中,以不同的配置进行了内在光信号(IOS)成像,激光散斑流量计(LSF)和脑皮层成像。 SDs是通过局部应用KCl引起的,或在大脑中动脉闭塞后自然发生。在后处理期间,IOS中的运动伪像通过弹性配准算法进行了补偿。使用运动补偿IOS,我们能够区分光学变化的四个分量,这与LSF测得的血流动力学变化密切相关。与ECoG和LSF相比,我们的设置提供了更高的空间和时间分辨率,以及更好的信噪比。单独使用IOS,我们可以识别大型脑性中脑动脉阻塞猪模型中的不同梗塞区域。我们强烈建议运动补偿的IOS用于研究继发性脑损伤发展过程中血液动力学对SD的反应,特别是检查可能的治疗性干预措施对脑性脑的影响。

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