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静息态默认网络中振荡连通性检测到的主观认知下降:一项脑磁图研究。

Subjective cognitive decline detected by the oscillatory connectivity in the default mode network: a magnetoencephalographic study.

机构信息

Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan.

Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.

出版信息

Aging (Albany NY). 2020 Feb 25;12(4):3911-3925. doi: 10.18632/aging.102859.

Abstract

Discriminating between those with and without subjective cognitive decline (SCD) in cross-sectional investigations using neuropsychological tests is challenging. The available magnetoencephalographic (MEG) studies have demonstrated altered alpha-band spectral power and functional connectivity in those with SCD. However, whether the functional connectivity in other frequencies and brain networks, particularly the default mode network (DMN), exhibits abnormalities in SCD remains poorly understood. We recruited 26 healthy controls (HC) without SCD and 27 individuals with SCD to perform resting-state MEG recordings. The power of each frequency band and functional connectivity within the DMN were compared between these two groups. Posterior cingulate cortex (PCC)-based connectivity was also used to test its diagnostic accuracy as a predictor of SCD. There were no significant between-group differences of spectral power in the regional nodes. However, compared with HC, those with SCD demonstrated increased delta-band and gamma-band functional connectivity within the DMN. Moreover, node strength in the PCC exhibited a good discrimination ability at both delta and gamma frequencies. Our data suggest that the node strength of delta and gamma frequencies in the PCC may be a good neurophysiological marker in the discrimination of individuals with SCD from those without SCD.

摘要

在横断面研究中,使用神经心理学测试来区分有和无主观认知下降(SCD)的患者具有挑战性。现有的脑磁图(MEG)研究已经证明,SCD 患者的 alpha 波段谱功率和功能连接发生改变。然而,SCD 患者是否在其他频率和脑网络(特别是默认模式网络 [DMN])中存在功能连接异常仍知之甚少。我们招募了 26 名没有 SCD 的健康对照者(HC)和 27 名 SCD 患者进行静息状态 MEG 记录。比较了这两组之间每个频带的功率和 DMN 内的功能连接。还使用基于后扣带回皮层(PCC)的连接来测试其作为 SCD 预测因子的诊断准确性。区域节点之间没有明显的频谱功率组间差异。然而,与 HC 相比,SCD 患者的 DMN 内 delta 波段和 gamma 波段的功能连接增加。此外,PCC 中的节点强度在 delta 和 gamma 频率下都具有良好的区分能力。我们的数据表明,PCC 中 delta 和 gamma 频率的节点强度可能是区分 SCD 患者和无 SCD 患者的良好神经生理学标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a8d/7066903/7ab65bf5f0a9/aging-12-102859-g001.jpg

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