Lacey Elizabeth H, Skipper-Kallal Laura M, Xing Shihui, Fama Mackenzie E, Turkeltaub Peter E
1 Georgetown University Medical Center, Washington, DC, USA.
2 MedStar National Rehabilitation Hospital, Washington, DC, USA.
Neurorehabil Neural Repair. 2017 May;31(5):442-450. doi: 10.1177/1545968316688797. Epub 2017 Jan 30.
Understanding the relationships between clinical tests, the processes they measure, and the brain networks underlying them, is critical in order for clinicians to move beyond aphasia syndrome classification toward specification of individual language process impairments.
To understand the cognitive, language, and neuroanatomical factors underlying scores of commonly used aphasia tests.
Twenty-five behavioral tests were administered to a group of 38 chronic left hemisphere stroke survivors and a high-resolution magnetic resonance image was obtained. Test scores were entered into a principal components analysis to extract the latent variables (factors) measured by the tests. Multivariate lesion-symptom mapping was used to localize lesions associated with the factor scores.
The principal components analysis yielded 4 dissociable factors, which we labeled Word Finding/Fluency, Comprehension, Phonology/Working Memory Capacity, and Executive Function. While many tests loaded onto the factors in predictable ways, some relied heavily on factors not commonly associated with the tests. Lesion symptom mapping demonstrated discrete brain structures associated with each factor, including frontal, temporal, and parietal areas extending beyond the classical language network. Specific functions mapped onto brain anatomy largely in correspondence with modern neural models of language processing.
An extensive clinical aphasia assessment identifies 4 independent language functions, relying on discrete parts of the left middle cerebral artery territory. A better understanding of the processes underlying cognitive tests and the link between lesion and behavior may lead to improved aphasia diagnosis, and may yield treatments better targeted to an individual's specific pattern of deficits and preserved abilities.
了解临床测试、它们所测量的过程以及其背后的脑网络之间的关系,对于临床医生超越失语症综合征分类,进而明确个体语言加工障碍至关重要。
了解常用失语症测试分数背后的认知、语言和神经解剖学因素。
对38名慢性左半球中风幸存者进行了25项行为测试,并获取了高分辨率磁共振图像。将测试分数输入主成分分析,以提取测试所测量的潜在变量(因素)。采用多变量病变-症状映射来定位与因素分数相关的病变。
主成分分析产生了4个可分离的因素,我们将其标记为词汇查找/流畅性、理解、音韵学/工作记忆容量和执行功能。虽然许多测试以可预测的方式加载到这些因素上,但有些测试严重依赖于通常与该测试无关的因素。病变症状映射显示了与每个因素相关的离散脑结构,包括超出经典语言网络的额叶、颞叶和顶叶区域。特定功能映射到脑解剖结构上,在很大程度上与现代语言加工神经模型一致。
广泛的临床失语症评估确定了4种独立的语言功能,依赖于左大脑中动脉区域的不同部分。更好地理解认知测试背后的过程以及病变与行为之间的联系,可能会改善失语症的诊断,并可能产生更有针对性地针对个体特定缺陷模式和保留能力的治疗方法。