Background: Alzheimer's disease (AD) is the most common age-related dementia that promotes a decline in memory, thinking, and social skills. The initial stages of dementia can be associated with mild symptoms, and symptom progression to a more severe state is heterogeneous across patients. Recent work has demonstrated the potential for functional network mapping to assist in the prediction of symptomatic progression. However, this work has primarily used static functional connectivity (sFC) from resting-state functional magnetic resonance imaging. Recently, dynamic functional connectivity (dFC) has been recognized as a powerful advance in functional connectivity methodology to differentiate brain network dynamics between healthy and diseased populations.

中文翻译：

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阿尔茨海默氏病进展过程中认知控制网络之间的动态功能网络连接中断

背景：阿尔茨海默病（AD）是最常见的与年龄相关的痴呆症，会导致记忆力、思维和社交技能下降。痴呆症的初始阶段可能与轻微症状相关，并且症状进展到更严重的状态在患者之间存在差异。最近的工作证明了功能网络图谱有助于预测症状进展的潜力。然而，这项工作主要使用静息态功能磁共振成像的静态功能连接（sFC）。最近，动态功能连接（dFC）被认为是功能连接方法论的一个强大进步，可以区分健康人群和患病人群之间的大脑网络动态。