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| 脑力疲劳影响注意保持功能的脑电及皮质溯源研究 |
| 芦婷1,2,张朝月2,赵文轩2,3,陈品红2,王路斌2* |
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(1. 河北大学教育学院, 保定 071002;
2. 军事科学院军事医学研究院, 北京 100850;
3. 首都医科大学第八临床医学院, 北京 100038
*通信作者) |
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| 摘要: |
| 目的 通过脑电信号特征和皮质溯源分析的方法探索脑力疲劳对注意保持功能的影响。方法 招募25名健康男性作为被试，采用关联性负变（CNV）听觉范式，以CNV不同加工阶段的平均波幅为分析指标，评价脑力疲劳前后脑电特征的变化，进一步使用标准化低分辨率电磁断层扫描（sLORETA）方法计算脑力疲劳后CNV皮质电流密度三维分布的变化。结果 被试CNV信号的反应时间在脑力疲劳后无变化（P＞0.05），但脱漏率增高（P＜0.05）。脑力疲劳后，被试中央区和中央顶区电极的CNV早成分（预备信号刺激后500～1 000 ms）波幅降低，前额区、额中央区、中央区和中央顶区电极的CNV晚成分（预备信号刺激后2 550～3 050 ms）波幅降低（均P＜0.05）。sLORETA溯源定位结果显示，在CNV晚成分时间窗内，脑力疲劳后左侧后岛叶皮质的活动减少（P＜0.05）。结论 作为感觉运动信息整合的关键脑区，后岛叶激活减少可能是脑力疲劳后CNV波幅下降和注意保持功能受损的潜在神经机制。 |
| 关键词: 脑力疲劳 注意保持 关联性负变 溯源分析 |
| DOI：10.16781/j.CN31-2187/R.20240145 |
| 投稿时间：2024-02-29修订日期：2024-09-25 |
| 基金项目:国防基础科研计划（JCKY2019548B001）. |
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| Effects of mental fatigue on attention maintenance function: an electroencephalogram and cortical source analysis study |
| LU Ting1,2,ZHANG Chaoyue2,ZHAO Wenxuan2,3,CHEN Pinhong2,WANG Lubin2* |
(1. Education College of Hebei University, Baoding 071002, Hebei, China;
2. Academy of Military Medical Sciences, Academy of Military Sciences, Beijing 100850, China;
3. The Eighth Clinical Medical College of Capital Medical University, Beijing 100038, China
*Corresponding author) |
| Abstract: |
| Objective To explore the effects of mental fatigue on attention maintenance function by electroencephalogram (EEG) signal characteristics and cortical source analysis. Methods A total of 25 healthy males were recruited as subjects and contingent negative variation (CNV) auditory paradigm was used to assess the differences in EEG characteristics before and after mental fatigue, with the average amplitude of CNV at different processing stages as the analysis indices. Then, the 3-dimensional distribution of cortical current density changes of CNV after mental fatigue were calculated by standardized low-resolution electromagnetic tomography analysis (sLORETA). Results The reaction time of the CNV signal remained unchanged following mental fatigue (P＞0.05), while the lapse rate exhibited a significant increase (P＜0.05). Besides, mental fatigue was related to a notable decrease in the amplitude of CNV early components (500-1 000 ms after warning stimulus) at the central and central parietal electrodes, and a significant reduction in the amplitude of CNV late components (2 550-3 050 ms after warning stimulus) at the prefrontal, frontal, central, and central parietal electrodes (all P＜0.05). The results of sLORETA source analysis showed that the brain activity in the left posterior insular cortex decreased after mental fatigue during the late component of CNV (P＜0.05). Conclusion The decreased activation of the posterior insula, which plays a crucial role in sensorimotor information integration, could potentially serve as a neural mechanism for the reduction of CNV amplitude and the impairment of attention maintenance function following mental fatigue. |
| Key words: mental fatigue attention maintenance contingent negative variation source analysis |
