Piccininni Chiara, Gainotti Guido, Carlesimo Giovanni Augusto, Luzzi Simona, Papagno Costanza, Trojano Luigi, Ferrara Antonia, Marra Camillo, Quaranta Davide
Institute of Neurology, Catholic University of the Sacred Heart, L.go A. Gemelli, 1, 00168, Rome, Italy.
Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.
Neurol Sci. 2020 Jul;41(7):1859-1864. doi: 10.1007/s10072-020-04272-1. Epub 2020 Feb 21.
Within the large topic of naming disorders, an important and separated chapter belongs to proper names. Defects of proper naming could be a selective linguistic problem. Sometimes, it includes names belonging to various kinds of semantically unique entities, but other times, it has been observed for famous people proper names only. According to Bruce and Young's model, different stages allow to recognize, identify, and name famous people from their faces and voices, subsuming different anatomical pathways, both in right temporal lobe, and their different efficiency in this task. The present study aimed to report the normative data concerning the naming of the same famous people from voice and face.
One hundred fifty-three normal subjects underwent a test in which they were requested to name famous people from their face and from their voice. The stimuli belonged to the previously published Famous People Recognition Battery.
The mean percentage score on naming from face was 84.42 ± 12.03% (range 55.26-100%) and the mean percentage score on naming from voice was 66.04 ± 16.81% (range 28.13-100%). The difference observed in performance by face and by voice resulted significant (t| = 15.973; p < 0.001). Regression analyses showed that the percentage score obtained on naming from faces was predicted by education, whereas naming from voice was predicted by education and gender.
Naming from voice is more difficult than from face, confirming a different difficulty of the two tasks. Education showed high predicting value for faces and less for voices, whereas gender contributed to predict results only for voices.
在命名障碍这个大主题中,专名属于一个重要且独立的章节。专名命名缺陷可能是一个选择性语言问题。有时,它包括属于各种语义独特实体的名称,但其他时候,仅在名人专名中观察到这种情况。根据布鲁斯和杨的模型,不同阶段允许从面部和声音识别、辨认并说出名人的名字,这涉及右颞叶的不同解剖路径以及它们在这项任务中的不同效率。本研究旨在报告关于从声音和面部说出同一批名人名字的规范数据。
153名正常受试者接受了一项测试,要求他们从面部和声音说出名人的名字。刺激材料属于先前发表的《名人识别量表》。
从面部命名的平均百分比得分是84.42±12.03%(范围55.26 - 100%),从声音命名的平均百分比得分是66.04±16.81%(范围28.13 - 100%)。观察到的面部和声音表现差异具有显著性(t = 15.973;p < 0.001)。回归分析表明,从面部命名获得的百分比得分由教育程度预测,而从声音命名则由教育程度和性别预测。
从声音命名比从面部命名更困难,证实了这两项任务的不同难度。教育程度对从面部命名的预测价值较高,对从声音命名的预测价值较低,而性别仅对从声音命名的结果预测有贡献。