Jo Geonsang, Kim Young-Min, Jun Dae Won, Jeong Eunju
Daehong Communications Inc, Seoul, South Korea.
Graduate School of Technology and Innovation Management, Hanyang University, Seoul, South Korea.
Front Hum Neurosci. 2020 Oct 8;14:535775. doi: 10.3389/fnhum.2020.535775. eCollection 2020.
Early detection and evaluation of cognitive alteration in chronic liver disease is important for predicting the subsequent development of hepatic encephalopathy. While visuomotor tasks have been rigorously employed for cognitive evaluation in chronic liver disease, there is a paucity of auditory processing task. Here we focused on auditory perception and examined behavioral and haemodynamic responses to a melodic contour identification task (CIT) to compare cognitive abilities in patients with chronic liver disease (CLD, = 30) and healthy controls ( = 25). Further, we used support vector machines to examine the optimal combination of channels of functional near-infrared spectroscopy that can classify cognitive alterations in CLD. Behavioral findings showed that CIT performance was significantly worse in the patient group and CIT significantly correlated with neurocognitive evaluation (i.e., number connection test, digit span test). The findings indicated that CIT can measure auditory cognitive capacity and its difference existing between patient group and healthy controls. Additionally, optimal subsets classified the 16-dimensional haemodynamic data with 78.35% classification accuracy, yielding markers of cognitive alterations in the prefrontal regions (CH6, CH7, CH10, CH13, CH14, and CH16). The results confirmed the potential use of behavioral as well as haemodynamic responses to music perception as an alternative or supplementary method for evaluating cognitive alterations in chronic liver disease.
慢性肝病认知改变的早期检测和评估对于预测肝性脑病的后续发展至关重要。虽然视觉运动任务已被严格用于慢性肝病的认知评估，但听觉处理任务却很匮乏。在此，我们聚焦于听觉感知，研究了对旋律轮廓识别任务（CIT）的行为和血流动力学反应，以比较慢性肝病患者（CLD，n = 30）和健康对照者（n = 25）的认知能力。此外，我们使用支持向量机来研究功能近红外光谱通道的最佳组合，该组合能够对慢性肝病患者的认知改变进行分类。行为学结果显示，患者组的CIT表现明显更差，且CIT与神经认知评估（即数字连接测试、数字广度测试）显著相关。研究结果表明，CIT能够测量听觉认知能力，且患者组与健康对照者之间存在差异。此外，最佳子集对16维血流动力学数据的分类准确率为78.35%，确定了前额叶区域（CH6、CH7、CH10、CH13、CH14和CH16）认知改变的标志物。结果证实，对音乐感知的行为和血流动力学反应有可能作为评估慢性肝病认知改变的一种替代或补充方法。
