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Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis

机译:额叶和运动皮层激活期间光学地形数据中系统性干扰的量化:独立成分分析

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摘要

Functional near-infrared optical topography (OT) is used to non-invasively measure the changes in oxygenated and deoxygenated haemoglobin (Δ[HbO2], Δ[HHb]) and hence investigate the brain haemodynamic changes, which occur in response to functional activation at specific regions of the cerebral cortex. However, when analysing functional OT data the task-related systemic changes should be taken into account. Here we used an independent component analysis (ICA) method on the OT [HbO2] signal, to determine the task related independent components and then compared them with the systemic measurements (blood pressure, heart rate, scalp blood flow) to assess whether the components are due to systemic noise or neuronal activation. This analysis can therefore extract the true OT haemodynamic neuronal response and hence discriminate between regional activated cortical areas and global haemodynamic changes.
机译:功能性近红外光学地形图(OT)用于无创地测量氧合和脱氧血红蛋白(Δ[HbO2],Δ[HHb])的变化,因此研究了脑血流动力学变化,该变化是在功能激活时发生的大脑皮层的特定区域。但是,在分析功能性OT数据时,应考虑与任务相关的系统更改。在这里,我们对OT [HbO2]信号使用独立成分分析(ICA)方法,确定与任务相关的独立成分,然后将它们与系统测量值(血压,心率,头皮血流量)进行比较,以评估这些成分是否是由于系统性噪音或神经元激活。因此,该分析可以提取出真正的OT血流动力学神经元反应,从而区分区域激活的皮质区域和整体血流动力学变化。

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