<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(1)</volume><submitter>Chen C</submitter><pubmed_abstract>Retrospective cues in working memory (WM) prioritize relevant information and guide attention toward target items to optimize behavior. Although the frontoparietal attention network is known to support this top-down attention mechanism, the broader cortical network behind this process remains elusive. Here, by combining EEG source localization with Bayesian non-negative matrix factorization, we identify nine WM task-related subnetworks, including two newly identified networks: the left parahippocampal-insula network (lPIN) and the right parahippocampal-insula network (rPIN). Dynamic network similarity (DNS) analysis reveals that the brain rapidly transitions into a 'silent' state following memory encoding. During retention, both retro- and neutral-cues reactivate memory representation; how</pubmed_abstract><journal>Communications biology</journal><pagination>1648</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12644547</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prioritizing flexible working memory representations relies on the involvement of the parahippocampal-insula network during memory reactivation.</pubmed_title><pmcid>PMC12644547</pmcid><pubmed_authors>Xie Y</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Xu P</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Li F</pubmed_authors><pubmed_authors>Yao D</pubmed_authors><pubmed_authors>Xu S</pubmed_authors><pubmed_authors>Yi C</pubmed_authors><pubmed_authors>Chen C</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prioritizing flexible working memory representations relies on the involvement of the parahippocampal-insula network during memory reactivation.</name><description>Retrospective cues in working memory (WM) prioritize relevant information and guide attention toward target items to optimize behavior. Although the frontoparietal attention network is known to support this top-down attention mechanism, the broader cortical network behind this process remains elusive. Here, by combining EEG source localization with Bayesian non-negative matrix factorization, we identify nine WM task-related subnetworks, including two newly identified networks: the left parahippocampal-insula network (lPIN) and the right parahippocampal-insula network (rPIN). Dynamic network similarity (DNS) analysis reveals that the brain rapidly transitions into a 'silent' state following memory encoding. During retention, both retro- and neutral-cues reactivate memory representation; how</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-05T19:01:13.301Z</modification><creation>2026-05-20T03:14:24.486Z</creation></dates><accession>S-EPMC12644547</accession><cross_references><pubmed>41286355</pubmed><doi>10.1038/s42003-025-09029-0</doi></cross_references></HashMap>