School of Psychology, Georgia Institute of Technology, Atlanta, GA, United States of America.
ATLAS Institute, University of Colorado Boulder, Boulder, CO, United States of America.
PLoS One. 2024 Aug 7;19(8):e0306271. doi: 10.1371/journal.pone.0306271. eCollection 2024.
Music is omnipresent in daily life and may interact with critical cognitive processes including memory. Despite music's presence during diverse daily activities including studying, commuting, or working, existing literature has yielded mixed results as to whether music improves or impairs memory for information experienced in parallel. To elucidate how music memory and its predictive structure modulate the encoding of novel information, we developed a cross-modal sequence learning task during which participants acquired sequences of abstract shapes accompanied with paired music. Our goal was to investigate whether familiar and structurally regular music could provide a "temporal schema" (rooted in the organized and hierarchical structure of music) to enhance the acquisition of parallel temporally-ordered visual information. Results revealed a complex interplay between music familiarity and music structural regularity in learning paired visual sequences. Notably, compared to a control condition, listening to well-learned, regularly-structured music (music with high predictability) significantly facilitated visual sequence encoding, yielding quicker learning and retrieval speed. Conversely, learned but irregular music (where music memory violated musical syntax) significantly impaired sequence encoding. While those findings supported our mechanistic framework, intriguingly, unlearned irregular music-characterized by the lowest predictability-also demonstrated memory enhancement. In conclusion, this study demonstrates that concurrent music can modulate visual sequence learning, and the effect varies depending on the interaction between both music familiarity and regularity, offering insights into potential applications for enhancing human memory.
音乐在日常生活中无处不在,可能会与包括记忆在内的关键认知过程相互作用。尽管音乐存在于各种日常活动中,如学习、通勤或工作,但现有文献对于音乐是否能提高或损害同时经历的信息的记忆,得出的结果喜忧参半。为了阐明音乐记忆及其预测结构如何调节新信息的编码,我们在一项跨模态序列学习任务中开发了一种方法,在该任务中,参与者学习伴随着配对音乐的抽象形状序列。我们的目标是研究熟悉且结构规则的音乐是否可以提供“时间模式”(植根于音乐的有组织和分层结构),以增强对并行时间顺序的视觉信息的获取。结果揭示了音乐熟悉度和音乐结构规则在学习配对视觉序列中的复杂相互作用。值得注意的是,与对照条件相比,聆听熟悉且结构规则的音乐(具有高可预测性的音乐)显著促进了视觉序列编码,从而加快了学习和检索速度。相反,学习但不规则的音乐(其中音乐记忆违反了音乐语法)显著损害了序列编码。虽然这些发现支持了我们的机制框架,但有趣的是,未学习的不规则音乐(其可预测性最低)也表现出记忆增强。总之,这项研究表明,同时播放的音乐可以调节视觉序列学习,并且效果取决于音乐熟悉度和规则之间的相互作用,为增强人类记忆的潜在应用提供了新的见解。