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Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity

机译:用于自主活动的一般线性模型分析的功能红外成像的脉冲响应函数建模

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摘要

Functional infrared imaging (fIRI) is a validated procedure to infer autonomic arousal. Currently, fIRI signals are analysed through descriptive metrics, such as average temperature changes in a region of interest (ROI). However, the employment of mathematical models could provide a powerful tool for the accurate identification of autonomic activity and investigation of the mechanisms underlying autonomic arousal. A linear temporal statistical model such as the general linear model (GLM) is particularly suited for its simplicity and direct interpretation. In order to apply the GLM, the thermal response linearity and time-invariance of fIRI have to be demonstrated, and the thermal impulse response (TIR) needs to be characterized. In this study, the linearity and time-invariance of the thermal response to sympathetic activating stimulation were demonstrated, and the TIR for employment of the GLM was characterized. The performance of the GLM-fIRI was evaluated by comparison with the GLM applied on synchronous measurements of the skin conductance response (SCR). In fact, the GLM-SCR is a validated procedure to estimate autonomic arousal. Assuming the GLM-SCR as the gold standard approach, a GLM-fIRI sensitivity and specificity of 86.4% and 75.9% were obtained. The GLM-fIRI may allow increased performances in the evaluation of autonomic activity and a broader range of application of fIRI in both research and clinical settings for the assessment of psychophysiological and psychopathological states.
机译:功能性红外成像(fIRI)是一种可推断出自主唤醒的经过验证的程序。当前,fIRI信号是通过描述性指标进行分析的,例如感兴趣区域(ROI)中的平均温度变化。但是,使用数学模型可以为准确识别自主神经活动和研究引起自主神经的机制提供强大的工具。线性时间统计模型,例如通用线性模型(GLM),特别适合其简单性和直接解释性。为了应用GLM,必须证明fIRI的热响应线性和时间不变性,并且需要对热冲激响应(TIR)进行表征。在这项研究中,证明了对交感神经激活刺激的热响应的线性和时间不变性,并表征了使用GLM的TIR。通过将GLM-fIRI的性能与应用于皮肤电导响应(SCR)同步测量的GLM进行比较,来评估其性能。实际上,GLM-SCR是一种用于评估自主唤醒的经过验证的程序。假设GLM-SCR是金标准方法,则GLM-fIRI的敏感性和特异性分别为86.4%和75.9%。 GLM-fIRI可以提高对自主神经活动的评估性能,并可以在研究和临床环境中对fIRI进行更广泛的应用,以评估心理生理和心理病理状态。

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