Brain Networks Associated With COVID-19 Risk: Data From 3662 Participants.
Brain Networks Associated With COVID-19 Risk: Data From 3662 Participants.
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DOI：
10.1177/24705470211066770
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
Abdallah CG
中科院分区：
文献类型：
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作者：
Abdallah CG
我们的行为特征和后续行动可能会影响2019年冠状病毒病（COVID-19）的风险。目前的研究旨在确定独特的大脑网络是否与COVID-19感染风险相关。这项研究是使用英国生物库资源进行的。在一个队列的一般人群（n = 3662）的功能磁共振成像扫描被用来计算全脑功能连接体。我们使用网络信息机器学习方法来识别在截至2021年2月4日的大流行期间与COVID-19阳性状态相关的连接体和节点指纹。与阴性状态相比，预测模型成功识别出与COVID-19阳性相关的6个指纹（所有p值< 0.005）。总体而言，大脑模块之间的整合程度较低，隔离程度增加，这反映在模块内部的连接性上，与较高的感染率有关。更具体地说，COVID-19阳性状态与1）中央执行和腹侧显著性之间以及背侧显著性和默认模式网络之间的连接性降低有关; 2）默认模式、腹侧显著性、皮层下和感觉运动网络内部的连接性增加; 3）腹侧显著性、皮层下和感觉运动网络之间的连接性增加。如果个体的大脑连接体与自上而下的注意力和执行网络的连接性降低一致，同时沿着内省和本能网络的内部连接性增加，那么个体感染COVID-19的风险就会增加。这些确定的风险网络可以作为治疗冲动控制缺陷疾病的目标进行研究。
Our behavioral traits, and subsequent actions, could affect the risk of exposure to the coronavirus disease of 2019 (COVID-19). The current study aimed to determine whether unique brain networks are associated with the COVID-19 infection risk. This research was conducted using the UK Biobank Resource. Functional magnetic resonance imaging scans in a cohort of general population (n = 3662) were used to compute the whole-brain functional connectomes. A network-informed machine learning approach was used to identify connectome and nodal fingerprints that are associated with positive COVID-19 status during the pandemic up to February fourth, 2021. The predictive models successfully identified 6 fingerprints that were associated with COVID-19 positive, compared to negative status (all p values < 0.005). Overall, lower integration across the brain modules and increased segregation, as reflected by internal within module connectivity, were associated with higher infection rates. More specifically, COVID-19 positive status was associated with 1) reduced connectivity between the central executive and ventral salience, as well as between the dorsal salience and default mode networks; 2) increased internal connectivity within the default mode, ventral salience, subcortical and sensorimotor networks; and 3) increased connectivity between the ventral salience, subcortical and sensorimotor networks. Individuals are at increased risk of COVID-19 infections if their brain connectome is consistent with reduced connectivity in the top-down attention and executive networks, along with increased internal connectivity in the introspective and instinctive networks. These identified risk networks could be investigated as target for treatment of illnesses with impulse control deficits.