Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile.
Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA; Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada; Department of Psychiatry, McGill University, Montréal, QC H3A 1A1, Canada.
Cortex. 2024 Feb;171:165-177. doi: 10.1016/j.cortex.2023.10.011. Epub 2023 Nov 2.
Prior research has revealed distinctive patterns of impaired language abilities across the three variants of Primary Progressive Aphasia (PPA): nonfluent/agrammatic (nfvPPA), logopenic (lvPPA) and semantic (svPPA). However, little is known about whether, and to what extent, non-verbal cognitive abilities, such as processing speed, are impacted in PPA patients. This is because neuropsychological tests typically contain linguistic stimuli and require spoken output, being therefore sensitive to verbal deficits in aphasic patients. The aim of this study is to investigate potential differences in processing speed between PPA patients and healthy controls, and among the three PPA variants, using a brief non-verbal tablet-based task (Match) modeled after the WAIS-III digit symbol coding test, and to determine its neural correlates. Here, we compared performance on the Match task between PPA patients (n = 61) and healthy controls (n = 59) and across the three PPA variants. We correlated performance on Match with voxelwise gray and white matter volumes. We found that lvPPA and nfvPPA patients performed significantly worse on Match than healthy controls and svPPA patients. Worse performance on Match across PPA patients was associated with reduced gray matter volume in specific parts of the left middle frontal gyrus, superior parietal lobule, and precuneus, and reduced white matter volume in the left parietal lobe. To conclude, our behavioral findings reveal that processing speed is differentially impacted across the three PPA variants and provide support for the potential clinical utility of a tabled-based task (Match) to assess non-verbal cognition. In addition, our neuroimaging findings confirm the importance of a set of fronto-parietal regions that previous research has associated with processing speed and executive control. Finally, our behavioral and neuroimaging findings combined indicate that differences in processing speed are largely explained by the unequal distribution of atrophy in these fronto-parietal regions across the three PPA variants.
先前的研究揭示了原发性进行性失语症(PPA)的三种变体(非流利/语法障碍型 PPA、语义型 PPA 和传导型失语症)在语言能力受损方面存在独特的模式。然而,对于非语言认知能力(如处理速度)是否以及在多大程度上受到 PPA 患者的影响,人们知之甚少。这是因为神经心理学测试通常包含语言刺激,并且需要口语输出,因此对失语症患者的语言缺陷很敏感。本研究旨在使用一种类似于韦氏智力测验 III 数字符号编码测试的简短非语言平板电脑任务(Match),调查 PPA 患者和健康对照组之间以及三种 PPA 变体之间的处理速度差异,并确定其神经相关性。在这里,我们比较了 PPA 患者(n=61)、健康对照组(n=59)和三种 PPA 变体在 Match 任务上的表现。我们将 Match 任务的表现与体素灰度和白质体积相关联。我们发现,lvPPA 和 nfvPPA 患者在 Match 上的表现明显差于健康对照组和 svPPA 患者。PPA 患者的 Match 表现越差,与左侧额中回、顶叶上回和楔前叶特定部位的灰质体积减少以及左侧顶叶的白质体积减少相关。总之,我们的行为研究结果表明,处理速度在三种 PPA 变体中受到不同程度的影响,并为使用基于平板电脑的任务(Match)评估非语言认知提供了潜在的临床应用支持。此外,我们的神经影像学发现证实了一组额顶叶区域的重要性,先前的研究将这些区域与处理速度和执行控制联系起来。最后,我们的行为和神经影像学研究结果结合表明,处理速度的差异主要归因于这三个 PPA 变体中这些额顶叶区域萎缩的分布不均。