Mallett Remington, Konkoly Karen R, Nielsen Tore, Carr Michelle, Paller Ken A
Department of Psychology, Northwestern University, Evanston, IL, USA; Department of Psychiatry and Addictology, University of Montreal, Montreal, QC, Canada; Center for Advanced Research in Sleep Medicine, Montreal, QC, Canada.
Department of Psychology, Northwestern University, Evanston, IL, USA.
Trends Cogn Sci. 2024 Dec;28(12):1105-1117. doi: 10.1016/j.tics.2024.10.004. Epub 2024 Nov 4.
Dreams have long captivated human curiosity, but empirical research in this area has faced significant methodological challenges. Recent interdisciplinary advances have now opened up new opportunities for studying dreams. This review synthesizes these advances into three methodological frameworks and describes how they overcome historical barriers in dream research. First, with observable dreaming, neural decoding and real-time reporting offer more direct measures of dream content. Second, with dream engineering, targeted stimulation and lucidity provide routes to experimentally manipulate dream content. Third, with computational dream analysis, the generation and exploration of large dream-report databases offer powerful avenues to identify patterns in dream content. By enabling researchers to systematically observe, engineer, and analyze dreams, these innovations herald a new era in dream science.
梦境长期以来一直吸引着人类的好奇心，但该领域的实证研究面临着重大的方法学挑战。最近的跨学科进展为研究梦境开辟了新的机会。本综述将这些进展综合为三个方法框架，并描述了它们如何克服梦境研究中的历史障碍。首先，通过可观察的梦境，神经解码和实时报告提供了对梦境内容更直接的测量。其次，通过梦境工程，有针对性的刺激和清醒度提供了实验性操纵梦境内容的途径。第三，通过计算梦境分析，大型梦境报告数据库的生成和探索为识别梦境内容中的模式提供了有力途径。通过使研究人员能够系统地观察、设计和分析梦境，这些创新预示着梦境科学的新时代。
