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相关实验视频

Updated: Jan 9, 2026

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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在不暴露于冲突的情况下改善干扰控制:前额前部fNIRS解码的神经反训练

Lingwei Zeng1,2, Wanying Xing1, Di Wu1

  • 1Fourth Military Medical University, Department of Medical Psychology, Xi'an, China.

Neurophotonics
|December 5, 2025
PubMed
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功能性近红外光谱解码的神经反训练通过修改前额头大脑活动显著改善了干扰控制. 这种个性化的方法为认知增强和心理障碍的传统疗法提供了一个新的替代方案.

科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 大脑与计算机的接口

背景情况:

  • 像暴露疗法这样的传统疗法需要重复的刺激呈现,可能导致痛苦.
  • 现有的神经调节技术往往忽略了个体的大脑变异.
  • 需要使用非侵入性方法来增强诸如干扰控制之类的认知功能.

研究的目的:

  • 引入和评估一种闭环神经调节方法,使用功能近红外光谱解码的神经反 (fNIRS-DecNef).
  • 通过修改前额叶血红蛋白动态和神经活动模式来增强干扰控制.
  • 为传统的认知训练方法提供个性化,数据驱动的替代方案.

主要方法:

  • 采用随机,双盲,跨组设计,将fNIRS-DecNef (n=20) 与一个Sham组 (n=25) 进行比较.
  • 开发了使用颜色词Stroop任务 (CWST) 的1秒时间分辨率的个性化解码器.
  • 进行了3天25分钟的每日神经反训练,通过CWST前训练,后训练和1周的随访评估干扰控制.

主要成果:

  • 与Sham组相比,fNIRS-DecNef组在测试后和随访时显示Stroop效应 (反应时间) 的显著减少.
  • 在训练后的DecNef组中,血液动力学反应功能的差异波幅显著下降.
关键词:
解码的神经反的解码功能近红外光谱学近红外光谱学干扰控制 干扰控制多变量模式分析多变量模式分析

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  • 多变量模式分析显示,DecNef组的分类准确性更高,与Stroop效应的改善负相关.

    • 结论:

    • 拟议的闭环fNIRS-DecNef方法有效地改变了前额神经动态.
    • 这种个性化,时间解析的解码方法显著改善了干扰控制,没有不良刺激.
    • fNIRS-DecNef有可能提高认知能力,并治疗恐惧症和PTSD等心理障碍.