School of Psychology, Northwest Normal University, Lanzhou 730070, China.
School of Psychology, Northwest Normal University, Lanzhou 730070, China; Key Laboratory of Behavioral and Mental Health of Gansu province, Northwest Normal University, Lanzhou, Gansu 730070, China.
Int J Psychophysiol. 2024 Jun;200:112356. doi: 10.1016/j.ijpsycho.2024.112356. Epub 2024 May 1.
Using the N-back task, we investigated how memory load influences the neural activity of the Chinese character cognitive subprocess (recognition, updating, and maintenance) in Mainland Chinese speakers. Twenty-seven participants completed the Chinese character N-back paradigm while having their event-related potentials recorded. The study employed time and frequency domain analyses of EEG data. Results showed that accuracy decreased and response times increased with larger N values. For ERPs, N2pc and P300 amplitudes decreased and SW amplitude increased with larger N values. For time frequency analyses, the desynchronization of alpha oscillations decreased after stimulus onset, but the synchronization of alpha oscillations increased during the maintenance phase. The results suggest that greater memory load is related to a decrease in cognitive resources during updating and an increase in cognitive resources during information maintenance. The results of a behavioral-ERP data structural equation model analysis showed that the ERP indicators in the maintenance phase predicted behavioral performance.
采用 N-back 任务，我们研究了记忆负荷如何影响中国大陆汉语使用者汉字认知子过程（识别、更新和维持）的神经活动。27 名参与者在完成汉字 N-back 范式的同时记录他们的事件相关电位。该研究采用 EEG 数据的时频域分析。结果表明，随着 N 值的增加，准确性降低，反应时间增加。对于 ERPs，N2pc 和 P300 振幅随着 N 值的增加而减小，SW 振幅增加。对于时频分析，刺激后 alpha 振荡的去同步化在刺激后减小，但在维持阶段 alpha 振荡的同步化增加。结果表明，更大的记忆负荷与更新过程中认知资源的减少以及信息维持过程中认知资源的增加有关。行为-ERP 数据结构方程模型分析的结果表明，维持阶段的 ERP 指标预测了行为表现。
