Maintenance suppression enhances subsequent associative learning

成果类型:
Article
署名作者:
Zhang, Ziyao; Lewis-Peacock, Jarrod A.
署名单位:
University of Texas System; University of Texas Austin
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-10982
DOI:
10.1073/pnas.2512322122
发表日期:
2025-08-12
关键词:
high-resolution fmri proactive-interference retrieval-processes memory integration gamma-oscillations top-down hippocampal mechanisms attention ca1
摘要:
Removing irrelevant information from working memory (WM) can free cognitive resources and reduce interference with current task goals. Beyond these immediate benefits, removal may also support long-term memory processes. We tested this hypothesis using an associative memory paradigm with directed forgetting instructions and characterized the underlying neural mechanisms. In complementary behavioral (N = 22) and fMRI (N = 17) experiments, participants completed an ABC associative memory task using pictures of objects, faces, and scenes. Each A item was sequentially paired with B and C items. Our key manipulation targeted the B items: following B encoding, participants were instructed either to maintain or suppress B. We hypothesized that suppression would impair AB memory but enhance AC memory, and this is precisely what we found. Suppression cues elicited distributed activations across frontoparietal control regions, as expected. Critically, multivoxel pattern analyses revealed enhanced encoding fidelity for C items in hippocampal subregion CA1 following suppression compared to maintenance. During subsequent associative memory tests cued by A items, reactivation of suppressed B items was significantly reduced relative to C items, reflecting diminished competition from B items during retrieval. Together, these findings demonstrate that suppression of unwanted information in WM benefits the formation of new memories by enhancing their encoding fidelity and biasing subsequent memory retrieval away from the suppressed associations.