Neuro-Mi Center for Neuroscience, Dept. of Psychology, University of Milano-Bicocca, Italy.
Neuro-Mi Center for Neuroscience, Dept. of Psychology, University of Milano-Bicocca, Italy.
Neuroscience. 2018 Aug 10;385:215-226. doi: 10.1016/j.neuroscience.2018.06.021. Epub 2018 Jun 20.
In this study the timing of electromagnetic signals recorded during incongruent and congruent audiovisual (AV) stimulation in 14 Italian healthy volunteers was examined. In a previous study (Proverbio et al., 2016) we investigated the McGurk effect in the Italian language and found out which visual and auditory inputs provided the most compelling illusory effects (e.g., bilabial phonemes presented acoustically and paired with non-labials, especially alveolar-nasal and velar-occlusive phonemes). In this study EEG was recorded from 128 scalp sites while participants observed a female and a male actor uttering 288 syllables selected on the basis of the previous investigation (lasting approximately 600 ms) and responded to rare targets (/re/, /ri/, /ro/, /ru/). In half of the cases the AV information was incongruent, except for targets that were always congruent. A pMMN (phonological Mismatch Negativity) to incongruent AV stimuli was identified 500 ms after voice onset time. This automatic response indexed the detection of an incongruity between the labial and phonetic information. SwLORETA (Low-Resolution Electromagnetic Tomography) analysis applied to the difference voltage incongruent-congruent in the same time window revealed that the strongest sources of this activity were the right superior temporal (STG) and superior frontal gyri, which supports their involvement in AV integration.
在这项研究中,研究人员检查了 14 名意大利健康志愿者在不一致和一致的视听(AV)刺激期间记录的电磁信号的时间。在之前的一项研究(Proverbio 等人,2016 年)中,我们研究了意大利语中的麦格克效应,并发现了哪些视觉和听觉输入提供了最令人信服的错觉效果(例如,以声学方式呈现的双唇音与非双唇音配对,尤其是齿龈鼻音和软腭闭塞音)。在这项研究中,记录了 128 个头皮部位的 EEG,同时参与者观察了一名女性和一名男性演员说出 288 个音节,这些音节是基于之前的调查选择的(持续约 600 毫秒),并对稀有目标(/re/、/ri/、/ro/、/ru/)做出反应。在一半的情况下,AV 信息是不一致的,除了目标总是一致的。语音起始时间后 500 毫秒,识别到对不一致的 AV 刺激的 pMMN(语音失配负波)。这种自动反应索引了对唇音和语音信息之间不一致的检测。在相同的时间窗口中,对差异电压不一致-一致应用 SwLORETA(低分辨率电磁断层扫描)分析,发现该活动的最强源是右侧颞上回(STG)和额上回,这支持它们参与 AV 整合。