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皮质下血管性认知障碍中静态和动态功能网络连接的改变。

Alterations in static and dynamic functional network connectivity in subcortical vascular cognitive impairment.

作者信息

Mao Haixia, Shi Yachen, Gao Qianqian, Xu Min, Hu Xiaoyun, Wang Feng, Fang Xiangming

机构信息

Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, 299 Qingyang Road, Wuxi City, Jiangsu Province, China.

Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, 299 Qingyang Road, Wuxi City, Jiangsu Province, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):22113. doi: 10.1038/s41598-025-06640-3.

Abstract

The current study integrated static (sFNC) and dynamic (dFNC) functional network connectivity to investigate the neurobiological mechanisms underlying alterations in static and dynamic functional network connectivity in subcortical vascular cognitive impairment (SVCI). We recruited 80 patients with SVCI (39 males, 41 females) and 83 healthy controls (32 males, 51 females). Clinical and imaging data, including clinical history, neuropsychological assessments, and Magnetic Resonance Imaging (MRI) scans, were collected. We extracted network independent components for sFNC and dFNC using independent component analysis with resting-state functional MRI data. Firstly, changes in sFNC in SVCI were comparatively analyzed. Subsequently, dynamic connectivity was examined using the sliding time window technique and cluster analysis to assess brain functional activity states and temporal properties. Differences in dFNC temporal properties (fractional occupancy, mean dwell time, and number of transitions) and functional connectivity across different time domains between groups were assessed with two sample t-tests. Spearman correlation analyses were performed to explore relationships between sFNC and dFNC changes and cognitive function. In the sFNC analysis, the SVCI group showed significantly decreased interactions between the sensorimotor network and lateral visual network, which was negatively associated with executive function (r = - 0.248, p = 0.027). In the dFNC analysis, brain functional activity was grouped into four highly structured functional connection states. The results revealed one connected state dominated by an increased connectivity pattern, two moderately connected states primarily characterized by increased connectivity with moderate decreases, and one weakly connected state exhibiting a modular connectivity pattern. These findings illustrate the progression in SVCI from connectivity disruption to compensation, eventually leading to a diminished compensatory response. Fractional occupancy and mean dwell time of states were correlated with cognitive function (all p < 0.05). SVCI patients exhibit impairments in both sFNC and dFNC, linked to cognitive decline. Connectivity dynamics reflect the brain's adaptive capacity in response to cognitive impairment.

摘要

本研究整合了静态(sFNC)和动态(dFNC)功能网络连接性,以探究皮质下血管性认知障碍(SVCI)中静态和动态功能网络连接性改变背后的神经生物学机制。我们招募了80例SVCI患者(男性39例,女性41例)和83名健康对照者(男性32例,女性51例)。收集了临床和影像学数据,包括临床病史、神经心理学评估和磁共振成像(MRI)扫描。我们使用独立成分分析和静息态功能MRI数据提取sFNC和dFNC的网络独立成分。首先,对SVCI中sFNC的变化进行了比较分析。随后,使用滑动时间窗口技术和聚类分析来检查动态连接性,以评估脑功能活动状态和时间特性。用两样本t检验评估两组之间dFNC时间特性(分数占有率、平均停留时间和转换次数)以及不同时域之间功能连接性的差异。进行Spearman相关性分析以探索sFNC和dFNC变化与认知功能之间的关系。在sFNC分析中,SVCI组显示感觉运动网络和外侧视觉网络之间的相互作用显著降低,这与执行功能呈负相关(r = -0.248,p = 0.027)。在dFNC分析中,脑功能活动被分为四个高度结构化的功能连接状态。结果显示,一种连接状态以连接性增加模式为主导,两种中度连接状态主要特征为连接性增加且有适度下降,一种弱连接状态呈现模块化连接模式。这些发现说明了SVCI从连接性破坏到代偿的进展过程,最终导致代偿反应减弱。状态的分数占有率和平均停留时间与认知功能相关(所有p < 0.05)。SVCI患者在sFNC和dFNC方面均表现出损害,与认知衰退有关。连接动力学反映了大脑对认知障碍的适应能力。

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