Temporal dynamics of event integration
San Diego, CA : Society for Neuroscience
InNeuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience, pp. 694.13/III14
Neuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience (San Diego, CA, 3-7 november 2018)
Article in monograph or in proceedings
Display more detailsDisplay less details
PI Group Memory and Space
PI Group Neurobiology of Language
Neuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience
Subject110 000 Neurocognition of Language; 120 Memory and Space; 220 Statistical Imaging Neuroscience
Memory integration is a crucial building block of autobiographical memory. It enables us to weave individual events of our daily lives into coherent memory networks. Furthermore, it allows us to dynamically and flexibly reorganize these mnemonic networks when new information becomes available. Results from our previous fMRI study (Milivojevic et al., 2015) provided evidence for a central role of the hippocampal-prefrontal circuit in memory integration using life-like stimuli. However, while both areas are known to be involved, the contribution of individual regions and the related temporal dynamics remain unclear. In this study, we extended the life-simulating memory paradigm used in our previous studies (Milivojevic et al., 2015; Collin et al., 2015) in order to shed light on the temporal dynamics of hippocampal and prefrontal processing underlying memory integration. In a life-like narrative-insight task, we presented three seemingly unrelated events per narrative, which participants saw several times in a counterbalanced order during a pre-insight phase and a post-insight phase. Between these phases we showed a fourth event in isolation, which provided insight into which of the previously seen events belong together in a narrative and which event does not. This allowed us to track insight-triggered reconfiguration of these event networks. We extended the paradigm to include a behavioral relatedness judgment task, in which participants rated how related events were, both before and after the insight phase, for each of the 13 narratives they saw. This enables us to track the brain-behaviour relationship for each of the narratives in a within-subject design. Additionally, in order to examine hierarchical embedding of event networks into broader, across-narrative networks, we included a task designed to assess the relationship between the individual narratives. This task will give us novel insights into both behavioral and neural correlates of across-narrative integration, and extend our previous work on hierarchical memory networks (Collin et al., 2015). In addition, we optimized the paradigm to examine the temporal aspects of memory integration using MEG (data acquisition ongoing). A possible mechanism that might underlie memory integration is prefrontal-hippocampal theta coupling (Backus et al., 2016). Using representational similarity analysis, we will examine how memory integration varies on different temporal scales within and across trials. This study offers the opportunity to improve our understanding of how the human brain is able to apply prior knowledge to inform our behavior in new situations.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.