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.
中科院分区:
文献类型:
--
作者:
Kever, Anne;Buyukturkoglu, Korhan;Leavitt, Victoria M.
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.