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

Author:

Xu Jingxian1,Chen Haifeng2345,Hu Zheqi1,Ke Zhihong1,Qin Ruomeng1345,Chen Ying1,Xu Yun12345ORCID

Affiliation:

1. Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University , 321 Zhongshan Road, Nanjing, Jiangsu 210008 , China

2. Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine , 138 Xianlin Avenue, Nanjing, Jiangsu 210023 , China

3. Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University , 321 Zhongshan Road, Nanjing, Jiangsu 210008 , China

4. Jiangsu Province Stroke Center for Diagnosis and Therapy , 321 Zhongshan Road, Nanjing, Jiangsu 210008 , China

5. Nanjing Neuropsychiatry Clinic Medical Center , 321 Zhongshan Road, Nanjing, Jiangsu 210008 , China

Abstract

Abstract 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.

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province of China

Jiangsu Province Key Medical Discipline

STI2030-Major Projects

Clinical Trials from the Affiliated Drum Tower Hospital, Medical School of Nanjing University

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3