An improved algorithm for model-based analysis of evoked skin conductance responses.
An improved algorithm for model-based analysis of evoked skin conductance responses.
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DOI：
10.1016/j.biopsycho.2013.09.010
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发表时间：
2013-12
影响因子：
2.6
通讯作者：
Dolan, Raymond J.
中科院分区：
文献类型：
--
作者：
Bach, Dominik R.;Friston, Karl J.;Dolan, Raymond J.
关键词：
我们改进了一般线性卷积方法分析诱发SCR的预测有效性。受约束的个体响应函数提供最高的预测有效性。这个IRF是由一个典型的SCRF及其时间导数实现的。截止频率为0.05 Hz的高通滤波器是分析的最佳选择。非线性模型可以更好地重建观察到的时间序列，但预测有效性较低。与标准方法相比，基于模型的心理生理信号分析对噪音的鲁棒性更强，并且在给定生理信号的情况下可以提供更好的心理状态预测因子。我们以前已经建立了基于模型的分析诱发皮肤电导反应，简短的刺激，相对于标准的方法，提高了预测的有效性。在这里，我们考虑了底层生成模型的一些技术方面，并展示了进一步的改进。最重要的是，收获受试者之间的变异性的响应形状可以提高预测的有效性，但只有在合理的响应形式的约束。通过用高通滤波调节生理信号来实现进一步的改进。一般的结论是，生理时间序列的精确建模不会显着增加预测的有效性;相反，似乎更受约束的模型和优化的数据特征提供更好的结果，可能是通过抑制生理波动，而不是由实验引起的。
We improve predictive validity of a general linear convolution method to analyse evoked SCR. A constrained individual response function provides highest predictive validity. This IRF is realised by a canonical SCRF together with its time derivative. A high pass filter of 0.05 Hz cut-off frequency is optimal for analysis. Non-linear models better reconstruct the observed time-series but have lower predictive validity. Model-based analysis of psychophysiological signals is more robust to noise – compared to standard approaches – and may furnish better predictors of psychological state, given a physiological signal. We have previously established the improved predictive validity of model-based analysis of evoked skin conductance responses to brief stimuli, relative to standard approaches. Here, we consider some technical aspects of the underlying generative model and demonstrate further improvements. Most importantly, harvesting between-subject variability in response shape can improve predictive validity, but only under constraints on plausible response forms. A further improvement is achieved by conditioning the physiological signal with high pass filtering. A general conclusion is that precise modelling of physiological time series does not markedly increase predictive validity; instead, it appears that a more constrained model and optimised data features provide better results, probably through a suppression of physiological fluctuation that is not caused by the experiment.
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影响因子：
3
作者：
Bach DR;Flandin G;Friston KJ;Dolan RJ
通讯作者：
Dolan RJ
影响因子：
4.8
作者：
Frith, CD;Kapur, N;Frackowiak, RSJ
通讯作者：
Frackowiak, RSJ
影响因子：
5.7
作者：
Hopfinger, JB;Büchel, C;Friston, KJ
通讯作者：
Friston, KJ
影响因子：
4.3
作者：
Penny WD;Stephan KE;Daunizeau J;Rosa MJ;Friston KJ;Schofield TM;Leff AP
通讯作者：
Leff AP
影响因子：
3
作者：
Bach, Dominik R.;Flandin, Guillaume;Friston, Karl J.;Dolan, Raymond J.
通讯作者：
Dolan, Raymond J.