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

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  • معلومة اضافية
    • بيانات النشر:
      Nature Portfolio, 2022.
    • الموضوع:
      2022
    • Collection:
      LCC:Medicine
      LCC:Science
    • نبذة مختصرة :
      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.
    • File Description:
      electronic resource
    • ISSN:
      2045-2322
    • Relation:
      https://doaj.org/toc/2045-2322
    • الرقم المعرف:
      10.1038/s41598-021-04384-4
    • الرقم المعرف:
      edsdoj.61065eb2272e488394e75e184906439b