Ruohonen Elisa M, Astikainen Piia
University of Jyvaskyla, Department of Psychology, P. O. Box 35, FIN-40100 Jyväskylä, Finland.
Biol Psychol. 2017 Jul;127:74-81. doi: 10.1016/j.biopsycho.2017.05.008. Epub 2017 May 10.
Depression is associated with bias in emotional information processing, but less is known about the processing of neutral sensory stimuli. Of particular interest is processing of sound intensity which is suggested to indicate central serotonergic function. We tested weather event-related brain potentials (ERPs) to occasional changes in sound intensity can dissociate first-episode depressed, recurrent depressed and healthy control participants. The first-episode depressed showed larger N1 amplitude to deviant sounds compared to recurrent depression group and control participants. In addition, both depression groups, but not the control group, showed larger N1 amplitude to deviant than standard sounds. Whether these manifestations of sensory over-excitability in depression are directly related to the serotonergic neurotransmission requires further research. The method based on ERPs to sound intensity change is fast and low-cost way to objectively measure brain activation and holds promise as a future diagnostic tool.
抑郁症与情绪信息处理偏差有关,但对于中性感觉刺激的处理了解较少。特别值得关注的是声音强度的处理,它被认为可以指示中枢5-羟色胺能功能。我们测试了与天气事件相关的脑电活动(ERP),以确定声音强度的偶尔变化是否能够区分首发抑郁症患者、复发性抑郁症患者和健康对照者。与复发性抑郁症组和对照组相比,首发抑郁症患者对异常声音的N1波幅更大。此外,两个抑郁症组对异常声音的N1波幅均大于标准声音,而对照组则不然。抑郁症中这些感觉过度兴奋的表现是否与5-羟色胺能神经传递直接相关,还需要进一步研究。基于声音强度变化的ERP方法是一种快速且低成本的客观测量大脑激活的方式,有望成为未来的诊断工具。