Wang Junkai, Liu Jianghong, Wang Zhiqun, Sun Pei, Li Kuncheng, Liang Peipeng
School of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China.
Department of Psychology, Tsinghua University, Beijing, China.
Aging (Albany NY). 2019 Oct 24;11(20):9147-9166. doi: 10.18632/aging.102380.
An anticorrelated relationship in the spontaneous fluctuations between the default mode network (DMN) and dorsal attention network (DAN) is a robust feature of intrinsic brain organization in healthy individuals. Prior studies have reported a decreased anticorrelation between the DMN and the DAN in Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, it is unclear how this anticorrelation changes as MCI progresses to AD. We hypothesized that dysfunctional connectivity between the DMN and DAN may reflect the gradual decline from MCI to AD. To test this hypothesis, we investigated alterations in functional connectivity between the DMN and DAN in subtypes of amnestic MCI (aMCI) by comparing with the same functional pattern in healthy elderly individuals and patients with AD. We retrospectively collected brain imaging and neuropsychological data from 20 AD participants, 22 participants with multiple-domain aMCI (aMCI-m), 29 participants with single-domain aMCI (aMCI-s) and 23 sex-matched normal controls in this study. Resting-state functional connectivity analysis revealed that aMCI-s and aMCI-m groups demonstrated different magnitudes of increased anticorrelation between the DMN and DAN relative to the AD group. Furthermore, in aMCI-s, aMCI-m and AD participants, hypoconnectivity was found in specific regions within the DMN, including the precuneus and angular gyrus, and hyperconnectivity was found in areas outside the typical DMN networks, including the middle occipital gyrus, lingual gyrus and visual cortex, which indicated disease-related adaptations of brain networks. Our findings suggest that DMN-DAN anticorrelation may shed light on the understanding of the adaptations in brain function during the progression from MCI to AD and may serve as a potential biomarker to detect AD in the preclinical stage.
默认模式网络(DMN)与背侧注意网络(DAN)之间自发波动的反相关关系是健康个体大脑内在组织的一个稳健特征。先前的研究报告称,在阿尔茨海默病(AD)和轻度认知障碍(MCI)中,DMN与DAN之间的反相关性降低。然而,尚不清楚这种反相关性在MCI进展为AD的过程中如何变化。我们假设,DMN与DAN之间的功能连接功能失调可能反映了从MCI到AD的逐渐衰退。为了验证这一假设,我们通过与健康老年人和AD患者的相同功能模式进行比较,研究了遗忘型MCI(aMCI)亚型中DMN与DAN之间功能连接的改变。在本研究中,我们回顾性收集了20名AD参与者、22名多领域aMCI(aMCI-m)参与者、29名单领域aMCI(aMCI-s)参与者和23名性别匹配的正常对照的脑成像和神经心理学数据。静息态功能连接分析显示,相对于AD组,aMCI-s组和aMCI-m组在DMN与DAN之间表现出不同程度的反相关性增加。此外,在aMCI-s组、aMCI-m组和AD参与者中,在DMN内的特定区域发现了连接减弱,包括楔前叶和角回,而在典型DMN网络之外的区域发现了连接增强,包括枕中回、舌回和视觉皮层,这表明了脑网络与疾病相关的适应性变化。我们的研究结果表明,DMN-DAN反相关性可能有助于理解从MCI进展到AD过程中脑功能的适应性变化,并可能作为在临床前阶段检测AD的潜在生物标志物。