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波士顿命名测试可区分路易体痴呆和阿尔茨海默病性痴呆。

Boston naming performance distinguishes between Lewy body and Alzheimer's dementias.

作者信息

Williams Vanessa G, Bruce Jared M, Westervelt Holly James, Davis Jennifer Duncan, Grace Janet, Malloy Paul F, Tremont Geoffrey

机构信息

Brown Medical School, Providence, RI, USA.

出版信息

Arch Clin Neuropsychol. 2007 Nov;22(8):925-31. doi: 10.1016/j.acn.2007.06.008. Epub 2007 Aug 2.

Abstract

Although naming impairment is common among persons with dementia, little is known about how specific error types on naming tasks may differ between dementias. Recent research has suggested that persons with dementia with Lewy bodies (DLB) have more visuospatial/visuoperceptual dysfunction than those with Alzheimer's disease (AD), which may impact their ability to correctly perceive and name objects. Our retrospective study evaluated the presence and frequency of error types among patients with DLB and AD on the Boston Naming Test (BNT). Errors on the BNT were classified into five types (i.e., visuoperceptual, semantic, phonemic, no response, and other), and performance was compared among 31 probable DLB patients and 31 probable AD patients matched for age, gender, education, and overall dementia severity. AD patients' overall performance on the BNT was significantly worse than DLB patients (p<.05). In terms of error types, DLB patients made significantly more visuoperceptual errors (p<.05) while AD patients made significantly more semantic errors (p<.001). Logistic regression revealed that the number of visuoperceptual and semantic errors significantly predicted group membership (p<.005), with an accuracy of up to 85%. Results suggest that error analysis of BNT responses may be useful in distinguishing between patients with DLB and AD.

摘要

尽管命名障碍在痴呆症患者中很常见,但对于不同类型痴呆症在命名任务上的特定错误类型差异知之甚少。最近的研究表明,路易体痴呆(DLB)患者比阿尔茨海默病(AD)患者有更多的视觉空间/视觉感知功能障碍,这可能会影响他们正确感知和命名物体的能力。我们的回顾性研究评估了DLB和AD患者在波士顿命名测试(BNT)中错误类型的存在情况和频率。BNT上的错误被分为五种类型(即视觉感知、语义、音素、无反应和其他),并对31名可能患有DLB的患者和31名年龄、性别、教育程度和总体痴呆严重程度相匹配的可能患有AD的患者的表现进行了比较。AD患者在BNT上的总体表现明显比DLB患者差(p<0.05)。在错误类型方面,DLB患者出现的视觉感知错误明显更多(p<0.05),而AD患者出现的语义错误明显更多(p<0.001)。逻辑回归显示,视觉感知和语义错误的数量显著预测了组别归属(p<0.005),准确率高达85%。结果表明,对BNT反应的错误分析可能有助于区分DLB和AD患者。

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