Decomposing parietal memory reactivation to predict consequences of remembering

The act of remembering can strengthen, but also distort memories. Parietal cortex is a candidate region involved in retrieval-induced memory changes given that it reflects retrieval success and represents retrieved content. Here, we conducted a human fMRI experiment to test whether different forms of reactivation in parietal cortex predict distinct consequences of memory retrieval. Subjects first studied associations between words and pictures of faces, scenes, or objects. Then, during ‘retrieval practice’, subjects repeatedly retrieved half of the previously learned pictures, reporting the vividness of the retrieved pictures. On the following day, subjects completed a recognition memory test for individual pictures. Critically, the recognition memory test included pictures that were highly similar to studied pictures (‘similar lures’). Behavioral results indicated that retrieval practice increased both the hit rate and false alarm rate to similar lures, confirming a causal influence of retrieval practice on subsequent memory. Using pattern similarity analyses, we measured two different levels of reactivation during retrieval practice: 1) generic ‘category-level’ reactivation and 2) idiosyncratic ‘item-level’ reactivation. Vivid remembering during retrieval practice was associated with stronger category- and item-level reactivation in parietal cortex. However, these measures differentially predicted performance on the subsequent recognition memory test: whereas higher category-level reactivation tended to predict false alarms to lures, item-level reactivation predicted correct rejections. These findings indicate that parietal reactivation can be decomposed to tease apart distinct consequences of memory retrieval.

• Publication year

  2017

• Venue

  bioRxiv

• Publication date

  2017-10-25

• Fields of study

  Biology, Medicine, Psychology

• Identifiers
  DOI 10.1101/208678PMID 30137255
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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