Institute of Neuroscience (IONS), Université catholique de Louvain, Brussels, Belgium.
Clin Neurophysiol. 2012 Dec;123(12):2437-45. doi: 10.1016/j.clinph.2012.05.007. Epub 2012 Jun 15.
To assess the clinical usefulness of an automated analysis of event-related potentials (ERPs).
Nociceptive laser-evoked potentials (LEPs) and non-nociceptive somatosensory electrically-evoked potentials (SEPs) were recorded in 37 patients with syringomyelia and 21 controls. LEP and SEP peak amplitudes and latencies were estimated using a single-trial automated approach based on time-frequency wavelet filtering and multiple linear regression, as well as a conventional approach based on visual inspection.
The amplitudes and latencies of normal and abnormal LEP and SEP peaks were identified reliably using both approaches, with similar sensitivity and specificity. Because the automated approach provided an unbiased solution to account for average waveforms where no ERP could be identified visually, it revealed significant differences between patients and controls that were not revealed using the visual approach.
The automated analysis of ERPs characterized reliably and objectively LEP and SEP waveforms in patients.
The automated single-trial analysis can be used to characterize normal and abnormal ERPs with a similar sensitivity and specificity as visual inspection. While this does not justify its use in a routine clinical setting, the technique could be useful to avoid observer-dependent biases in clinical research.
评估事件相关电位(ERPs)自动分析的临床实用性。
在 37 例脊髓空洞症患者和 21 例对照者中记录痛觉激光诱发电位(LEPs)和非痛觉躯体感觉电诱发电位(SEPs)。使用基于时频小波滤波和多元线性回归的单次试验自动方法以及基于视觉检查的传统方法来估计 LEP 和 SEP 峰的幅度和潜伏期。
两种方法均能可靠地识别正常和异常 LEP 和 SEP 峰的幅度和潜伏期,具有相似的灵敏度和特异性。由于自动方法为无法通过视觉识别的平均波形提供了无偏的解决方案,因此它揭示了使用视觉方法无法揭示的患者和对照组之间的显著差异。
自动分析 ERPs 可靠且客观地描述了患者的 LEP 和 SEP 波形。
自动单次试验分析可以以与视觉检查相似的灵敏度和特异性来描述正常和异常的 ERPs。虽然这不能证明其在常规临床环境中的使用是合理的,但该技术在临床研究中可以避免观察者依赖的偏倚,因此可能具有一定的应用价值。