Leonard Faul, Jaclyn H. Ford, Elizabeth A. Kensinger
{"title":"Update on “Emotion and autobiographical memory”: 14 years of advances in understanding functions, constructions, and consequences","authors":"Leonard Faul, Jaclyn H. Ford, Elizabeth A. Kensinger","doi":"10.1016/j.plrev.2024.10.005","DOIUrl":null,"url":null,"abstract":"<div><div>Holland and Kensinger (2010) reviewed the literature on “Emotion and autobiographical memory.” They focused on two broad ways that emotions influence memory: (1) emotion during an event influences how the event is remembered, and (2) emotion and emotional goals during memory retrieval influence how past events are remembered. We begin by providing a brief update on the key points from that review. Holland and Kensinger (2010) also had noted a number of important avenues for future work. Here, we describe what has been learned about the functions of autobiographical memory and their reconstructive nature. Relatedly, we review more recent research on memory reconstruction in the context of visual perspective shifts, counterfactual thinking, nostalgia, and morality. This research has emphasized the reciprocal nature of the interactions between emotion and autobiographical memory: Not only do emotions influence memory, memories influence emotions. Next, we discuss advances that have been made in understanding the reciprocal relations between stress, mood, and autobiographical memory. Finally, we discuss the research that is situating emotional autobiographical memories within a social framework, providing a bedrock for collective memories. Despite the many advances of the past 14 years, many open questions remain; throughout the review we note domains in which we hope to see advances over the next decades.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"51 ","pages":"Pages 255-272"},"PeriodicalIF":13.7000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Life Reviews","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1571064524001301","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Holland and Kensinger (2010) reviewed the literature on “Emotion and autobiographical memory.” They focused on two broad ways that emotions influence memory: (1) emotion during an event influences how the event is remembered, and (2) emotion and emotional goals during memory retrieval influence how past events are remembered. We begin by providing a brief update on the key points from that review. Holland and Kensinger (2010) also had noted a number of important avenues for future work. Here, we describe what has been learned about the functions of autobiographical memory and their reconstructive nature. Relatedly, we review more recent research on memory reconstruction in the context of visual perspective shifts, counterfactual thinking, nostalgia, and morality. This research has emphasized the reciprocal nature of the interactions between emotion and autobiographical memory: Not only do emotions influence memory, memories influence emotions. Next, we discuss advances that have been made in understanding the reciprocal relations between stress, mood, and autobiographical memory. Finally, we discuss the research that is situating emotional autobiographical memories within a social framework, providing a bedrock for collective memories. Despite the many advances of the past 14 years, many open questions remain; throughout the review we note domains in which we hope to see advances over the next decades.
期刊介绍:
Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.