Characteristic patterns of functional connectivity-mediated cerebral small vessel disease-related cognitive impairment and depression

被引:1
作者
Xu, Jingxian [1 ]
Chen, Haifeng [2 ,3 ,4 ,5 ]
Hu, Zheqi [1 ]
Ke, Zhihong [1 ]
Qin, Ruomeng [1 ,3 ,4 ,5 ]
Chen, Ying [1 ,3 ]
Xu, Yun [1 ,2 ,4 ,5 ]
机构
[1] Nanjing Univ, Nanjing Drum Tower Hosp, Affiliated Hosp, Med Sch,Dept Neurol, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples R China
[2] Nanjing Univ Chinese Med, Nanjing Drum Tower Hosp, Clin Coll Tradit Chinese & Western Med, 138 Xianlin Ave, Nanjing 210023, Jiangsu, Peoples R China
[3] Nanjing Univ, Med Sch, Jiangsu Key Lab Mol Med, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples R China
[4] Jiangsu Prov Stroke Ctr Diag & Therapy, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples R China
[5] Nanjing Neuropsychiat Clin Med Ctr, 321 Zhongshan Rd, Nanjing 210008, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
white matter hyperintensities; cognitive impairment; depression; cerebral small vessel disease; static and dynamic functional networks; TMS;
D O I
10.1093/cercor/bhad468
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Cerebral small vessel disease is common in most individuals aged 60 years or older, and it is associated with cognitive dysfunction, depression, anxiety disorder, and mobility problems. Currently, many cerebral small vessel disease patients have both cognitive impairment and depressive symptoms, but the relationship between the 2 is unclear. The present research combined static and dynamic functional network connectivity methods to explore the patterns of functional networks in cerebral small vessel disease individuals with cognitive impairment and depression (cerebral small vessel disease-mild cognitive impairment with depression) and their relationship. We found specific functional network patterns in the cerebral small vessel disease-mild cognitive impairment with depression individuals (P < 0.05). The cerebral small vessel disease individuals with depression exhibited unstable dynamic functional network connectivity states (transitions likelihood: P = 0.040). In addition, we found that the connections within the lateral visual network between the sensorimotor network and ventral attention network could mediate white matter hyperintensity-related cognitive impairment (indirect effect: 0.064; 95% CI: 0.003, 0.170) and depression (indirect effect: -0.415; 95% CI: -1.080, -0.011). Cognitive function can negatively regulate white matter hyperintensity-related depression. These findings elucidate the association between cognitive impairment and depression and provide new insights into the underlying mechanism of cerebral small vessel disease-related cognitive dysfunction and depression.
引用
收藏
页数:11
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