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Poster B144

The influence of practice experience on neural networks during successful memory retrieval

Poster Session B - Sunday, April 14, 2024, 8:00 – 10:00 am EDT, Sheraton Hall ABC

Lingwei Wang1,2 (, Jiongjiong Yang1,2; 1School of Psychological and Cognitive Sciences, Peking University, 2Beijing Key Laboratory of Behavior and Mental Health, Peking University

By repeated retrieval practice (RP) and feedback (FB), the errors could be corrected and a stable representation is eventually established, which involve the salience-executive control networks (S-ECN) and default mode network (DMN) separately. According to the practice experience, different items could be distinguished as those that are correct all the time, that have errors but been corrected through FB. Whether these items differ in brain network activations during successful memory retrieval is unclear. In this study, twenty-nine participants learned 120 Swahili-Chinese words associations followed by two RP-answer FB cycles (i.e., RP1, FB1, RP2, FB2), then they took the final test 10-min and 24-h later. The items were divided into different types (i.e., item type, CCC, ICC, IIC III) based on participant’s performance (correct or incorrect, C or I) during the two RPs and the final test. The results showed that compared to IIC items, successful retrieving CCC and ICC items elicited stronger activation in the DMN regions, while successful retrieving IIC items had the strongest activation in the S-ECN regions. Successful retrieving CCC items further had stronger activation in the dorsomedial prefrontal cortex (dmPFC) and posterior insula (PI) than ICC items. The anterior insula (AI) had dynamic interactions with the ECN and DMN regions to support retrieval success of different types of items. Our results suggest that previous RP-FB experience is important for subsequent successful memory retrieval, as cognitive control network and the insula continues to monitor the memory retrieval process even after errors are corrected. .

Topic Area: LONG-TERM MEMORY: Episodic


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