Recruitment of a long-term memory supporting neural network during repeated maintenance of a multi-item abstract visual image in working memory

Klaartje T.H. Heinen*, J. Leon Kenemans, Stefan van der Stigchel

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Humans can flexibly transfer information between different memory systems. Information in visual working memory (VWM) can for instance be stored in long-term memory (LTM). Conversely, information can be retrieved from LTM and temporarily held in WM when needed. It has previously been suggested that a neural transition from parietal- to midfrontal activity during repeated visual search reflects transfer of information from WM to LTM. Whether this neural transition indeed reflects consolidation and is also observed when memorizing a rich visual scene (rather than responding to a single target), is not known. To investigate this, we employed an EEG paradigm, in which abstract six-item colour-arrays were repeatedly memorized and explicitly visualized, or merely attended to. Importantly, we tested the functional significance of a potential neural shift for longer-term consolidation in a subsequent recognition task. Our results show a gradually enhanced- and sustained modulation of the midfrontal P170 component and a decline in parietal CDA, during repeated WM maintenance. Improved recollection/visualization of memoranda upon WM-cueing, was associated with contralateral parietal- and right temporal activity. Importantly, only colour-arrays previously held in WM, induced a greater midfrontal P170-response, together with left temporal- and late centro-parietal activity, upon re-exposure. These findings provide evidence for recruitment of an LTM-supporting neural network which facilitates visual WM maintenance.

Original languageEnglish
Article number575
Pages (from-to)1-17
JournalScientific Reports
Volume12
Issue number1
DOIs
Publication statusPublished - 12 Jan 2022

Bibliographical note

Funding Information:
The authors would like to thank Milena Engel and Lucia Zemene for behavioural data collection. This work was supported by The Netherlands Organization for Scientific Research Vidi Grant 452-13-008 (to S.V.d.S.).

Publisher Copyright:
© 2022, The Author(s).

Funding

The authors would like to thank Milena Engel and Lucia Zemene for behavioural data collection. This work was supported by The Netherlands Organization for Scientific Research Vidi Grant 452-13-008 (to S.V.d.S.).

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