中国现代神经疾病杂志 ›› 2026, Vol. 26 ›› Issue (2): 194-202. doi: 10.3969/j.issn.1672-6731.2026.02.011

• 痴呆相关认知功能障碍 • 上一篇    

2 认知功能障碍疾病多模式认知康复干预

高露1, 毕敏2, 江斌2, 王菁2, 倪国新1, 郑坤木2   

  1. 1 361003 厦门大学附属第一医院康复医学科;
    2 361003 厦门大学附属第一医院神经内科
  • 收稿日期:2025-12-26 发布日期:2026-03-12
  • 通讯作者: 倪国新,Email:nigx@xmu.edu.cn;郑坤木,Email:kumuzheng@163.com
  • 基金资助:
    科技创新2030-“脑科学与类脑研究”重大项目(项目编号:2022ZD0211600)

Multimodal cognitive rehabilitation interventions for cognitive dysfunction disorders

GAO Lu1, BI Min2, JIANG Bin2, WANG Jing2, NI Guo-xin1, ZHENG Kun-mu2   

  1. 1 Department of Rehabilitation Medicine, the First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian, China;
    2 Department of Neurology, the First Affiliated Hospital of Xiamen University, Xiamen 361003, Fujian, China
  • Received:2025-12-26 Published:2026-03-12
  • Supported by:
    This study was supported by Science and Technology Innovation 2030 "Brain Science and Brain-like Research" Major Project(No. 2022ZD0211600)

摘要: 认知功能障碍疾病是一类以获得性、持续性认知功能障碍为核心表现的疾病,已成为威胁中老年人群健康的重大公共卫生问题。由于传统药物治疗效果有限,无法有效阻止或逆转疾病进程。近年非药物干预,特别是多模式、个体化认知康复干预日益重要。本文系统阐述认知康复干预的神经可塑性机制,重点探讨认知刺激、认知训练及个体化认知康复等核心干预策略的理论基础与实践路径,并深入探讨数字技术辅助干预、非侵入性脑刺激及各类身体活动在认知康复干预中的协同作用与多模式整合潜力。未来应构建融合神经影像学、电生理学及分子生物学标志物的人工智能驱动评估体系,以实现对认知康复干预疗效的精准监测与个体化方案的动态优化,为认知功能障碍疾病防治策略的升级提供新视角与新思路。

关键词: 认知障碍, 康复, 神经元可塑性, 数字技术, 综述

Abstract: Cognitive dysfunction disorders are characterized by acquired and persistent cognitive dysfunction as the disease core manifestation, which has become the major public health issue and threatening the health of middle-aged and elderly population. Given the limited efficacy of conventional pharmacological interventions and failing to effectively halt or reverse disease progression, non-pharmacological interventions, particularly multimodal and personalized cognitive rehabilitation interventions, have gained increasing importance in recent years. This review systematically elucidates the neuroplasticity mechanisms underlying cognitive rehabilitation interventions, detailing the theoretical foundations and practical implementation of core intervention strategies, including cognitive stimulation,cognitive training, and personalized cognitive rehabilitation. Furthermore, it delves into the synergistic effects and multimodal integration potential of digitally assisted interventions, non-invasive brain stimulation(NIBS), and various forms of physical activity within the framework of cognitive rehabilitation interventions.The future artificial intelligence(AI)-driven assessment system that integrates neuroimaging,electrophysiological, and molecular biomarkers would enable precise monitoring of cognitive rehabilitation interventions efficacy and the dynamic optimization of personalized intervention interventions. This integrated approach could offer novel perspectives for advancing prevention and treatment strategies for cognitive dysfunction disorders.

Key words: Cognition disorders, Rehabilitation, Neuronal plasticity, Digital technology, Review

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