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超越图片命名:动词生成任务的常模和患者数据

Beyond picture naming: norms and patient data for a verb-generation task.

作者信息

Kurland Jacquie, Reber Alisson, Stokes Polly

出版信息

Am J Speech Lang Pathol. 2014 May;23(2):S259-70. doi: 10.1044/2014_AJSLP-13-0094.

Abstract

PURPOSE

In the current study, the authors aimed to (a) acquire a set of verb generation to picture norms; and (b) probe its utility as an outcomes measure in aphasia treatment.

METHOD

In Phase I, the verb-generation normative sample, 50 healthy volunteers generated verbs for 218 pictures of common objects (interstimulus interval = 5 s). In Phase II, 4 persons with aphasia (PWAs) generated verbs for 60 objects (interstimulus interval = 10 s). Their stimuli consisted of objects that were (a) recently trained (for object naming; n = 20), (b) untrained (a control set; n = 20), or (c) from a set of pictures named correctly at baseline (n = 20). Verb generation was acquired twice: once 2 months into and once following a 6-month home practice program.

RESULTS

No objects elicited perfect verb agreement in the normed sample. Stimuli with the highest percent agreement were mostly artifacts and dominant verbs primary functional associates. Although not targeted in treatment or home practice, PWAs mostly improved performance in verb generation postpractice.

CONCLUSIONS

A set of clinically and experimentally useful verb-generation norms was acquired for a subset of the Snodgrass and Vanderwart (1980) picture set. More cognitively demanding than confrontation naming, this task may help to fill the sizeable gap between object picture naming and propositional speech.

摘要

目的

在本研究中,作者旨在:(a)获取一组针对图片的动词生成常模;(b)探究其作为失语症治疗结果测量指标的效用。

方法

在第一阶段,即动词生成常模样本阶段,50名健康志愿者为218张常见物体图片生成动词(刺激间隔 = 5秒)。在第二阶段,4名失语症患者为60个物体生成动词(刺激间隔 = 10秒)。他们的刺激物包括:(a)最近训练过的(用于物体命名;n = 20),(b)未训练过的(对照组;n = 20),或(c)在基线时能正确命名的一组图片中的(n = 20)。动词生成进行了两次:一次是在2个月时,一次是在为期6个月的家庭练习计划之后。

结果

在常模样本中,没有物体能引发完全一致的动词反应。一致性百分比最高的刺激物大多是人工制品和主要功能关联的主导动词。尽管在治疗或家庭练习中未作为目标,但失语症患者在练习后动词生成方面大多有表现改善。

结论

为Snodgrass和Vanderwart(1980)图片集的一个子集获取了一组具有临床和实验用途的动词生成常模。该任务比面对面命名对认知要求更高,可能有助于填补物体图片命名和命题言语之间的巨大差距。

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