Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine , Philadelphia, PA , USA.
Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania Perelman School of Medicine , Philadelphia, PA , USA.
Front Neurol. 2013 Dec 27;4:212. doi: 10.3389/fneur.2013.00212. eCollection 2013.
To relate fractional anisotropy (FA) changes associated with the semantic and logopenic variants of primary progressive aphasia (PPA) to measures of lexical retrieval.
We collected neuropsychological testing, volumetric magnetic resonance imaging, and diffusion-weighted imaging on semantic variant PPA (svPPA) (n = 11) and logopenic variant PPA (lvPPA) (n = 13) patients diagnosed using published criteria. We also acquired neuroimaging data on a group of demographically comparable healthy seniors (n = 34). FA was calculated and analyzed using a white matter (WM) tract-specific analysis approach. This approach utilizes anatomically guided data reduction to increase sensitivity and localizes results within canonically defined tracts. We used non-parametric, cluster-based statistical analysis to relate language performance to FA and determine regions of reduced FA in patients.
We found widespread FA reductions in WM for both variants of PPA. FA was related to both confrontation naming and category naming fluency performance in left uncinate fasciculus and corpus callosum in svPPA and left superior and inferior longitudinal fasciculi in lvPPA.
SvPPA and lvPPA are associated with distinct disruptions of a large-scale network implicated in lexical retrieval, and the WM disease in each phenotype may contribute to language impairments including lexical retrieval.
将与原发性进行性失语症(PPA)的语义和失语法变体相关的分数各向异性(FA)变化与词汇检索测量相关联。
我们收集了语义变体 PPA(svPPA)(n=11)和失语法变体 PPA(lvPPA)(n=13)患者的神经心理学测试、容积磁共振成像和扩散加权成像数据,这些患者是根据已发表的标准诊断的。我们还在一组在人口统计学上具有可比性的健康老年人(n=34)中获取了神经影像学数据。使用特定于白质(WM)束的分析方法计算和分析 FA。这种方法利用解剖引导的数据减少来提高敏感性,并将结果定位在规范定义的束内。我们使用非参数、基于簇的统计分析将语言表现与 FA 相关联,并确定患者中 FA 降低的区域。
我们发现两种 PPA 变体的 WM 中均存在广泛的 FA 降低。在 svPPA 中,FA 与左侧钩束和胼胝体的命名和类别命名流畅性表现相关,而在 lvPPA 中,FA 与左侧上、下纵束相关。
svPPA 和 lvPPA 与涉及词汇检索的大规模网络的不同破坏有关,每种表型的 WM 疾病可能导致包括词汇检索在内的语言障碍。