Using a single integrated analysis, we examined the relationship between brain networks and molecular pathways in a cohort of elderly individuals at risk for Alzheimer's disease. In 205 subjective memory complainers (124 females, mean age: 75.7 ± 3.4), individual functional connectome was computed for a total of 3081 functional connections (set A) and 6 core plasma biomarkers of Alzheimer's disease (set B) were assessed. Partial least squares correlation analysis identified one dimension of population covariation between the 2 sets (p < 0.006), which we named bioneural mode. Five core plasma biomarkers and 190 functional connections presented bootstrap ratios greater than the critical value |1.96|. T-tau protein showed a trend toward significance (bootstrap resampling = 1.64). The salience, the language, the visuospatial, and the default mode networks were the strongest significant networks. We detected a strong association between network dynamics and core pathophysiological blood biomarkers. Innovative composite biomarkers, such as the bioneural mode, are promising to provide outcomes and better inform drug development and clinical practice for neurodegenerative diseases.

中文翻译：

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主观记忆抱怨者脑网络动力学与血浆生物标志物的关联

使用单一的综合分析，我们检查了一组有患阿尔茨海默病风险的老年人的大脑网络和分子通路之间的关系。在 205 名主观记忆抱怨者（124 名女性，平均年龄：75.7 ± 3.4）中，计算了总共 3081 个功能连接（A 组）的个体功能连接组，并评估了 6 个阿尔茨海默病的核心血浆生物标志物（B 组）。偏最小二乘相关分析确定了两组之间总体协变的一个维度 (p < 0.006)，我们将其命名为生物神经模式。五个核心血浆生物标志物和 190 个功能连接呈现出大于临界值 |1.96| 的自举比率。T-tau 蛋白显示出显着性趋势（自举重采样 = 1.64）。显着性、语言、视觉空间，默认模式网络是最强的重要网络。我们检测到网络动力学与核心病理生理血液生物标志物之间存在很强的关联。创新的复合生物标志物，如生物神经模式，有望为神经退行性疾病的药物开发和临床实践提供结果和更好的信息。