Imaging Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Columbia University, 116th St and Broadway, New York, NY, 10027, USA.
Neuropsychologia. 2019 Jun;129:294-301. doi: 10.1016/j.neuropsychologia.2019.03.021. Epub 2019 Apr 2.
As brain networks break down in neurodegenerative disorders such as Alzheimer's disease, language and executive function frequently decline. We aimed to quantify the relationship between fluency (both categorical and phonemic) and cortical thickness using data from a large cohort of patients who were undergoing assessment at a memory disorders clinic. In addition, we defined the pattern of these relationships across the four major lobes of the brain. A total of 590 patients underwent extensive psychometric testing, including categorical (animal-naming) and phonemic (FAS) tests of fluency. All patients also underwent structural MRI featuring a volumetric T1-weighted sequence that served as the input for postprocessing calculations using FreeSurfer, yielding cortical parcellations and thicknesses. The fluency-thickness relationships were summarized using Pearson's correlation coefficient. In a univariable analysis over all lobes, there were significant correlations using categorical fluency with both cortical thickness and age, with education less correlated; using phonemic fluency there were similar correlations with cortical thickness and age, but education was more correlated. Neither handedness nor sex was significantly correlated with either categorical or phonemic score. At a lobar level, for both fluency tests, scores were positively correlated with cortical thickness in all lobes; these relationships were strongest in the temporal lobe (p < 0.01). The correlations for categorical testing were generally stronger than the correlations for phonemic testing and were again strongest in the temporal lobe (r = 0.38 for categorical testing vs 0.22 for phonemic testing). The bilateral parietal lobes were more important for categorical testing than for phonemic testing, and the left frontal lobe was more important for phonemic testing than for categorical testing. Comparison of the homologous lobes between the two hemispheres demonstrated that only the frontal lobes were significantly different for both scores, with the left side having a stronger relationship with the scores (categorical: r = 0.21 for left; r = 0.14 for right; p < 0.01. phonemic: r = 0.13 for left; r = 0.08 for right; p < 0.01). In conclusion, these results demonstrated that structural MRI and fluency tests reveal a significant spatial pattern of correlations between cortical thickness and fluency, which varies with the type of fluency test.
在神经退行性疾病(如阿尔茨海默病)中,大脑网络逐渐崩溃,语言和执行功能经常下降。我们的目的是使用大量正在记忆障碍诊所接受评估的患者的数据,定量研究流畅性(类别和语音)与皮质厚度之间的关系。此外,我们还定义了这些关系在大脑四个主要叶之间的模式。共有 590 名患者接受了广泛的心理测试,包括类别(动物命名)和语音(FAS)流畅性测试。所有患者还接受了结构 MRI 检查,其中包括容积 T1 加权序列,该序列用作 FreeSurfer 后处理计算的输入,从而产生皮质分割和厚度。使用 Pearson 相关系数总结流畅性与厚度之间的关系。在对所有叶的单变量分析中,类别流畅性与皮质厚度和年龄均存在显著相关性,而与教育的相关性较小;使用语音流畅性与皮质厚度和年龄也存在类似的相关性,但与教育的相关性更大。无论是惯用手还是性别,与类别或语音评分均无显著相关性。在叶水平上,对于两种流畅性测试,在所有叶中,分数均与皮质厚度呈正相关;这些关系在颞叶中最强(p<0.01)。类别测试的相关性通常强于语音测试,在颞叶中再次最强(类别测试 r=0.38,语音测试 r=0.22)。双侧顶叶对于类别测试比语音测试更为重要,而左额叶对于语音测试比类别测试更为重要。比较两个半球之间的同源叶发现,只有额叶对于两个分数均有显著差异,左侧与分数的关系更强(类别:左侧 r=0.21,右侧 r=0.14;p<0.01。语音:左侧 r=0.13,右侧 r=0.08;p<0.01)。总之,这些结果表明,结构 MRI 和流畅性测试揭示了皮质厚度和流畅性之间存在显著的空间相关性模式,这种模式随流畅性测试的类型而变化。