Hypoconnectivity within the cingulo‐opercular network in patients with mild cognitive impairment in Chinese communities

Author:

Yang Huan1ORCID,Zhao Xiaoyu2,Wang Tenglong3ORCID,Zhou Zhenhe3,Cheng Zaohuo3,Zhao Xingfu3,Cao Yuping1

Affiliation:

1. Department of Psychiatry, and National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders The Second Xiangya Hospital of Central South University Changsha Hunan China

2. Imperial College London London UK

3. Wuxi Mental Health Center Nanjing Medical University Wuxi China

Abstract

AbstractIntroductionAt rest, the brain's higher cognitive systems engage in correlated activity patterns, forming networks. With mild cognitive impairment (MCI), it is essential to understand how functional connectivity within and between resting‐state networks changes. This study used resting‐state functional connectivity to identify significant differences within and between the cingulo‐opercular network (CON) and default mode network (DMN).MethodsWe assessed cognitive function in patients using the Chinese version of the Alzheimer's disease assessment scale‐Cognitive subscale (ADAS‐Cog). A group of MCI subjects (ages 60–83 years, n = 45) was compared to age‐matched healthy controls (n = 70). Resting‐state functional connectivity was used to determine functional connectivity strength within and between the CON and DMN.ResultsCompared to healthy controls, the MCI group showed significantly lower functional connectivity within the CON (F = 10.76, df = 1, p = 0.001, FDR adjusted p = 0.003). Additionally, the MCI group displayed no distinct differences in functional connectivity within DMN (F = 0.162, df = 1, p = 0.688, FDR adjusted p = 0.688) and between CON and DMN (F = 2.270, df = 1, p = 0.135, FDR adjusted p = 0.262). Moreover, we found no correlation between ADAS‐Cog and within‐ or between‐connectivity metrics among subjects with MCI.ConclusionsOur findings indicate that specific patterns of hypoconnectivity within CON circuitry may characterize MCI relative to healthy controls. This work improves our understanding of network dysfunction underlying MCI and could inform more targeted treatment.

Publisher

Wiley

Subject

Psychiatry and Mental health,Geriatrics and Gerontology

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