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Metabolic connectivity for differential diagnosis of dementing disorders

机译：代谢连接用于鉴别诊断痴呆症

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Presently, visual and quantitative approaches for image-supported diagnosis of dementing disorders rely on regional intensity rather than on connectivity measurements. Here, we test metabolic connectivity for differentiation between Alzheimer’s disease and frontotemporal lobar degeneration. Positron emission tomography with 18F-fluorodeoxyglucose was conducted in 47 patients with mild Alzheimer’s disease, 52 patients with mild frontotemporal lobar degeneration, and 45 healthy elderly subjects. Sparse inverse covariance estimation and selection were used to identify patterns of metabolic, inter-subject covariance on the basis of 60 regional values. Relative to healthy subjects, significantly more pathological within-lobe connections were found in the parietal lobe of patients with Alzheimer’s disease, and in the frontal and temporal lobes of subjects with frontotemporal lobar degeneration. Relative to the frontotemporal lobar degeneration group, more pathological connections between the parietal and temporal lobe were found in the Alzheimer’s disease group. The obtained connectivity patterns differentiated between two patients groups with an overall accuracy of 83%. Linear discriminant analysis and univariate methods provided an accuracy of 74% and 69%, respectively. There are characteristic patterns of abnormal metabolic connectivity in mild Alzheimer’s disease and frontotemporal lobar degeneration. Such patterns can be utilized for single-subject analyses and might be more accurate in the differential diagnosis of dementing disorders than traditional intensity-based analyses.
机译：当前，用于图像支持的痴呆症诊断的视觉和定量方法依赖于区域强度而不是连通性测量。在这里，我们测试了代谢连通性，以区分阿尔茨海默氏病和额颞叶变性。在47例轻度阿尔茨海默氏病患者，52例额颞叶轻度变性患者和45位健康的老年受试者中进行了正电子发射断层扫描，并使用18F-氟脱氧葡萄糖进行了正电子发射断层扫描。稀疏逆协方差估计和选择用于基于60个区域值来识别代谢，受试者间协方差的模式。相对于健康受试者，在阿尔茨海默氏病患者的顶叶以及额颞叶变性受试者的额叶和颞叶中发现了更多的病理性叶内连接。相对于额颞叶变性组，在阿尔茨海默氏病组中发现了顶叶和颞叶之间的更多病理联系。所获得的连通性模式在两个患者组之间有所区别，总体准确性为83％。线性判别分析和单变量方法的准确率分别为74％和69％。在轻度的阿尔茨海默氏病和额颞叶变性中，有异常代谢连接的特征性模式。这种模式可用于单项分析，并且在痴呆症的鉴别诊断中比传统的基于强度的分析更准确。

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