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一般老年日本人群轻度认知障碍者海马内结构网络的改变。

Altered structural hippocampal intra-networks in a general elderly Japanese population with mild cognitive impairment.

机构信息

Department of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.

Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajiimachi, Jokyo-ku, Kyoto-shi, Kyoto-fu, Japan.

出版信息

Sci Rep. 2023 Aug 16;13(1):13330. doi: 10.1038/s41598-023-39569-6.

Abstract

Although altered networks inside the hippocampus (hippocampal intra-networks) have been observed in dementia, the evaluation of hippocampal intra-networks using magnetic resonance imaging (MRI) is challenging. We employed conventional structural imaging and incident component analysis (ICA) to investigate the structural covariance of the hippocampal intra-networks. We aimed to assess altered hippocampal intra-networks in patients with mild cognitive impairment (MCI). A cross-sectional study of 2122 participants with 3T MRI (median age 69 years, 60.9% female) were divided into 218 patients with MCI and 1904 cognitively normal older adults (CNOA). By employing 3D T1-weighted imaging, voxels within the hippocampus were entered into the ICA analysis to extract the structural covariance intra-networks within the hippocampus. The ICA extracted 16 intra-networks from the hippocampal structural images, which were divided into two bilateral networks and 14 ipsilateral networks. Of the 16 intra-networks, two (one bilateral network and one ipsilateral networks) were significant predictors of MCI from the CNOA after adjusting for age, sex, education, disease history, and hippocampal volume/total intracranial volume ratio. In conclusion, we found that the relationship between hippocampal intra-networks and MCI was independent from the hippocampal volume. Our results suggest that altered hippocampal intra-networks may reflect a different pathology in MCI from that of brain atrophy.

摘要

尽管在痴呆症患者中观察到海马内网络(海马内网络)发生了改变,但使用磁共振成像(MRI)评估海马内网络具有挑战性。我们采用常规结构成像和事件成分分析(ICA)来研究海马内网络的结构协方差。我们旨在评估轻度认知障碍(MCI)患者的海马内网络改变。对 2122 名接受 3T MRI 检查的参与者进行了一项横断面研究(中位年龄 69 岁,60.9%为女性),分为 218 名 MCI 患者和 1904 名认知正常的老年人(CNOA)。通过使用 3D T1 加权成像,将海马内的体素输入 ICA 分析中,以提取海马内的结构协方差内网络。ICA 从海马结构图像中提取了 16 个内网络,分为两个双侧网络和 14 个同侧网络。在调整年龄、性别、教育程度、病史和海马体积/总颅内体积比后,这 16 个内网络中有两个(一个双侧网络和一个同侧网络)是从 CNOA 中预测 MCI 的显著预测因子。总之,我们发现海马内网络与 MCI 之间的关系独立于海马体积。我们的结果表明,改变的海马内网络可能反映了 MCI 与脑萎缩不同的病理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd8c/10432547/83c207114ef9/41598_2023_39569_Fig1_HTML.jpg

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