Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, UK.
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
Brain. 2020 Oct 1;143(10):3121-3135. doi: 10.1093/brain/awaa245.
Language impairments caused by stroke (post-stroke aphasia, PSA) and neurodegeneration (primary progressive aphasia, PPA) have overlapping symptomatology, nomenclature and are classically divided into categorical subtypes. Surprisingly, PPA and PSA have rarely been directly compared in detail. Rather, previous studies have compared certain subtypes (e.g. semantic variants) or have focused on a specific cognitive/linguistic task (e.g. reading). This study assessed a large range of linguistic and cognitive tasks across the full spectra of PSA and PPA. We applied varimax-rotated principal component analysis to explore the underlying structure of the variance in the assessment scores. Similar phonological, semantic and fluency-related components were found for PSA and PPA. A combined principal component analysis across the two aetiologies revealed graded intra- and intergroup variations on all four extracted components. Classification analysis was used to test, formally, whether there were any categorical boundaries for any subtypes of PPA or PSA. Semantic dementia formed a true diagnostic category (i.e. within group homogeneity and distinct between-group differences), whereas there was considerable overlap and graded variations within and between other subtypes of PPA and PSA. These results suggest that (i) a multidimensional rather than categorical classification system may be a better conceptualization of aphasia from both causes; and (ii) despite the very different types of pathology, these broad classes of aphasia have considerable features in common.
中风引起的语言障碍(卒中后失语症,PSA)和神经退行性变(原发性进行性失语症,PPA)具有重叠的症状、命名法,并且经典地分为类别亚型。令人惊讶的是,PPA 和 PSA 很少被直接详细比较。相反,以前的研究比较了某些亚型(例如语义变体)或专注于特定的认知/语言任务(例如阅读)。本研究评估了 PSA 和 PPA 全谱中大量的语言和认知任务。我们应用方差极大旋转主成分分析来探索评估分数方差的潜在结构。发现 PSA 和 PPA 具有相似的语音、语义和流畅性相关成分。针对两种病因的综合主成分分析揭示了所有四个提取成分上的组内和组间渐变变化。分类分析用于正式检验任何 PPA 或 PSA 亚型是否存在任何类别边界。语义性痴呆形成了一个真正的诊断类别(即组内同质性和组间差异),而其他 PPA 和 PSA 亚型在组内和组间存在相当大的重叠和渐变变化。这些结果表明:(i) 多维而不是分类分类系统可能是这两种病因引起的失语症的更好概念化;(ii) 尽管病理类型非常不同,但这些广泛的失语症类别具有相当多的共同特征。