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在编码过程中记忆脑网络的活动可区分轻度认知障碍的转化者和非转化者。

Activity in Memory Brain Networks During Encoding Differentiates Mild Cognitive Impairment Converters from Non-Converters.

机构信息

Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain.

Center for Brain and Cognition, Pompeu Fabra University, Barcelona, Spain.

出版信息

J Alzheimers Dis. 2019;71(3):1049-1061. doi: 10.3233/JAD-190421.

Abstract

Alzheimer's disease (AD) has been associated with memory impairment due to alterations in the medial temporal lobe (MTL) and the precuneus. Therefore, the goal of this study was to investigate the effects of AD on the brain networks associated with the hippocampus and precuneus during an encoding memory task. 68 mild cognitive impairment patients (MCI), 21 AD patients, and 20 healthy controls (HC) were included. Participants were instructed to memorize landscapes while undergoing fMRI scanning, followed by a recognition test. MCI were followed up clinically for 18 months to track conversion status. Independent component analysis (ICA) was performed to investigate AD effects on precuneus and MTL networks during memory encoding. Behavioral analyses indicate that HC had a better performance than MCI converters (MCIc) and AD. ICA showed that MCIc had significantly higher activation in the MTL-associated network than MCI non converters (MCIn) and AD, including bilateral hippocampus, parahippocampus, and fusiform gyrus. Furthermore, the precuneus-associated network fitted the default mode network, showing a negative correlation with behavioral performance. These findings indicate that the hyperactivation of the hippocampal network displayed by MCIc has potential discrimination capacity to distinguish them of MCIn, and could be interpreted as a compensatory mechanism.

摘要

阿尔茨海默病(AD)与内侧颞叶(MTL)和楔前叶的改变有关,导致记忆损伤。因此,本研究旨在探讨 AD 对编码记忆任务中与海马体和楔前叶相关的脑网络的影响。纳入了 68 名轻度认知障碍患者(MCI)、21 名 AD 患者和 20 名健康对照者(HC)。参与者被指示在 fMRI 扫描期间记忆风景,然后进行识别测试。对 MCI 进行了 18 个月的临床随访,以跟踪转化状态。进行独立成分分析(ICA)以研究 AD 在记忆编码过程中对楔前叶和 MTL 网络的影响。行为分析表明,HC 的表现优于 MCI 转化者(MCIc)和 AD。ICA 显示,与 MCI 非转化者(MCIn)和 AD 相比,MCIc 的 MTL 相关网络的激活明显更高,包括双侧海马体、海马旁回和梭状回。此外,楔前叶相关网络与默认模式网络拟合,与行为表现呈负相关。这些发现表明,MCIc 中显示的海马体网络的过度激活具有潜在的区分能力,可以将其与 MCIn 区分开来,并且可以解释为一种补偿机制。

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