机构：[1]School of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China[2]Department of Psychology, Tsinghua University, Beijing, China[3]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China神经科系统神经内科首都医科大学宣武医院[4]Department of Radiology, Aerospace Center Hospital, Beijing, China[5]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China医技科室放射科首都医科大学宣武医院
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.
基金：
Natural Science Foundation of ChinaNational Natural Science Foundation of China [81873892, 61473196, 81671065]; Beijing Nova ProgramBeijing Municipal Science & Technology Commission [2016000021223TD07]; Capacity Building for Sci-Tech Innovation - Fundamental Scientific Research Funds [19530050157]; Beijing Brain Initiative of Beijing Municipal Science& Technology Commission
第一作者机构：[1]School of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China[2]Department of Psychology, Tsinghua University, Beijing, China
通讯作者：
通讯机构：[1]School of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China[2]Department of Psychology, Tsinghua University, Beijing, China
推荐引用方式(GB/T 7714)：
Wang Junkai,Liu Jianghong,Wang Zhiqun,et al.Dysfunctional interactions between the default mode network and the dorsal attention network in subtypes of amnestic mild cognitive impairment[J].AGING-US.2019,11(20):9147-9166.doi:10.18632/aging.102380.
APA：
Wang, Junkai,Liu, Jianghong,Wang, Zhiqun,Sun, Pei,Li, Kuncheng&Liang, Peipeng.(2019).Dysfunctional interactions between the default mode network and the dorsal attention network in subtypes of amnestic mild cognitive impairment.AGING-US,11,(20)
MLA：
Wang, Junkai,et al."Dysfunctional interactions between the default mode network and the dorsal attention network in subtypes of amnestic mild cognitive impairment".AGING-US 11..20(2019):9147-9166
