Associations of social network structure with cognition and amygdala volume in multiple sclerosis: An exploratory investigation

Associations of social network structure with cognition and amygdala volume in multiple sclerosis: An exploratory investigation
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DOI:
10.1177/13524585211018349
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发表时间:
2021-05-26
影响因子:
5.8
通讯作者:
Leavitt, Victoria M.
Leavitt, Victoria M.
中科院分区:
医学2区
文献类型:
--
作者:
Kever, Anne;Buyukturkoglu, Korhan;Leavitt, Victoria M.

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背景:人类天生是社会性的,生物学上是与他人联系的。社会关系影响心理和身体健康。目的:本研究的目的是测试社会网络结构是否与多发性硬化症(MS)患者的认知、情绪、疲劳和局部脑容量有关。方法:采用问卷调查量化个人水平的社会网络结构,(大小、密度、有效大小和约束)、一组全面的神经心理学测试和磁共振成像(MRI)对51名复发缓解型MS患者进行了管理。线性回归评估了网络变量与认知、抑郁、疲劳和结构脑容量的相关性。较高的网络密度和约束,表明网络成员之间的联系较强,与较差的语言功能。相反,更大的网络有效大小,衡量非冗余网络成员,与更好的语言功能。未发现网络结构与抑郁或疲劳有任何关系。较大的网络大小与较大的杏仁核体积有关。结论:研究结果表明,社交网络结构与MS患者的语言功能和杏仁核体积有关。具有紧密网络的患者的语言功能比开放网络的患者更差。大样本的纵向研究是必要的,以评估社会网络结构和MS相关的认知功能障碍之间的潜在因果关系。
Background:Humans are inherently social, biologically programmed to connect with others. Social connections are known to impact mental and physical health.Objective:The aim of this study was to test whether social network structure is linked to cognition, mood, fatigue, and regional brain volumes in persons with multiple sclerosis (MS).Methods:A questionnaire quantifying individual-level social network structure (size, density, effective size, and constraint), a comprehensive battery of neuropsychological tests, and magnetic resonance imaging (MRI) was administered to 51 persons with relapsing-remitting MS. Linear regressions assessed associations of network variables to cognition, depression, fatigue, and structural brain volumes.Results:Higher network density and constraint, indicating stronger connections among network members, were associated with worse language functions. Conversely, larger network effective size, a measure of non-redundant network members, was associated with better language functions. No relationships of network structure to depression or fatigue were found. Larger network size was related to larger amygdala volume.Conclusion:Findings suggest that social network structure is linked to language function and amygdala volume in persons with MS. Patients with close-knit networks showed worse language function than those with open networks. Longitudinal studies with larger samples are warranted to evaluate potential causal links between social network structure and MS-related cognitive impairment.