中国社区轻度认知障碍患者扣带前回-脑岛网络的连接不足。

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

机构信息

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.

Imperial College London, London, UK.

出版信息

Int J Geriatr Psychiatry. 2023 Aug;38(8):e5979. doi: 10.1002/gps.5979.

DOI:10.1002/gps.5979

PMID:37548525

Abstract

INTRODUCTION

At 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).

METHODS

We 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.

RESULTS

Compared 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.

CONCLUSIONS

Our 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.

摘要

简介

在静息状态下，大脑的高级认知系统会呈现出相关的活动模式，从而形成网络。对于轻度认知障碍（MCI）患者，了解静息态网络内和网络间的功能连接如何变化至关重要。本研究使用静息态功能连接来识别扣带-顶叶网络（CON）和默认模式网络（DMN）内和之间的显著差异。

方法

我们使用中文版阿尔茨海默病评估量表-认知分量表（ADAS-Cog）评估了患者的认知功能。将一组 MCI 患者（年龄 60-83 岁，n=45）与年龄匹配的健康对照组（n=70）进行比较。使用静息态功能连接来确定 CON 和 DMN 内和之间的功能连接强度。

结果

与健康对照组相比，MCI 组 CON 内的功能连接明显较低（F=10.76，df=1，p=0.001，经 FDR 校正后 p=0.003）。此外，MCI 组在 DMN 内的功能连接（F=0.162，df=1，p=0.688，经 FDR 校正后 p=0.688）和 CON 与 DMN 之间的功能连接（F=2.270，df=1，p=0.135，经 FDR 校正后 p=0.262）方面没有明显差异。此外，我们发现 MCI 患者的 ADAS-Cog 与 CON 内或 CON 间连接指标之间没有相关性。