轻度认知障碍（MCI）患者是痴呆的高危人群，MCI和痴呆严重影响患者的生活。因此，MCI的早期诊 断和干预至关重要。脑连接组学是医学影像学的重要分支，它将大脑看成一个复杂的网络系统，脑连接网络 的变化是认知改变的结构和功能基础。通过对MCI患者进行脑连接网络分析，得到特征性的脑连接网络参 数，有助于寻找MCI的早期诊断生物标志物、预测病情进展程度、评估干预效果等。本文围绕近年来MCI脑 连接组学的最新研究进展进行综述，希望为MCI的临床诊疗及相关研究提供借鉴。

Mild cognitive impairment (MCI) patients are at high risk of developing dementia, and both MCI and dementia significantly impact their lives. Therefore, early diagnosis and intervention for MCI are crucial. Connectomics is an important branch of medical imaging that views the brain as a complex network system. Changes in brain connectivity networks are the structural and functional basis of cognitive changes. By analyzing brain connectivity networks in MCI patients, characteristic parameters of brain connectivity networks can be obtained, which can help identify early diagnostic biomarkers for MCI, predict the degree of disease progression, and evaluate intervention effectiveness. This review focuses on the latest research progress in connectomics in MCI, hoping to provide reference for clinical diagnosis and treatment of MCI and related research.