Liu Qing, Lin Yuhang, Zhang Wenjuan
Zhejiang University of Technology, Hangzhou, China.
Xidian University, Xi'an, China.
BMC Psychol. 2025 May 22;13(1):546. doi: 10.1186/s40359-025-02879-7.
This meta-analysis examines the challenge of capturing brain activity in real-world and laboratory settings by integrating naturalistic neuroimaging and experimental data with behavioral measures to explore the predictive role of intersubject correlation (ISC) in attention. Using databases such as Web of Science and PubMed, we conducted a comprehensive search from January 2000 to July 2024. Our meta-analysis of 14 studies and 27 effect sizes reveals a significant positive correlation between ISC and attention (r = 0.65, p < 0.001), demonstrating that ISC serves as a reliable neural marker for attentional engagement under various experimental conditions. By incorporating naturalistic stimuli such as video clips and controlled laboratory tasks, we provide insights into the application of ISC to predict attention in ecologically-valid contexts. Moreover, our addition of behavioral data further enhances the understanding of how neural synchronization reflects attentional states. Our results underscore the potential of utilizing ISC to develop personalized assessments and interventions in educational and cognitive settings.
这项荟萃分析通过整合自然主义神经影像学和实验数据与行为测量方法，研究了在现实世界和实验室环境中捕捉大脑活动的挑战，以探索受试者间相关性（ISC）在注意力方面的预测作用。我们利用科学网和PubMed等数据库，进行了从2000年1月到2024年7月的全面搜索。我们对14项研究和27个效应量的荟萃分析表明，ISC与注意力之间存在显著的正相关（r = 0.65，p < 0.001），这表明ISC在各种实验条件下是注意力参与的可靠神经标志物。通过纳入视频片段等自然主义刺激和受控的实验室任务，我们深入了解了ISC在生态有效背景下预测注意力的应用。此外，我们加入行为数据进一步增强了对神经同步如何反映注意力状态的理解。我们的结果强调了利用ISC在教育和认知环境中开发个性化评估和干预措施的潜力。
