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Interaction of Sleep and Emotional Content on the Production of False Memories

Overview of attention for article published in PLOS ONE, November 2012
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Title
Interaction of Sleep and Emotional Content on the Production of False Memories
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049353
Pubmed ID
Authors

Shannon McKeon, Edward F. Pace-Schott, Rebecca M. C. Spencer

Abstract

Sleep benefits veridical memories, resulting in superior recall relative to off-line intervals spent awake. Sleep also increases false memory recall in the Deese-Roediger-McDermott (DRM) paradigm. Given the suggestion that emotional veridical memories are prioritized for consolidation over sleep, here we examined whether emotion modulates sleep's effect on false memory formation. Participants listened to semantically related word lists lacking a critical lure representing each list's "gist." Free recall was tested after 12 hours containing sleep or wake. The Sleep group recalled more studied words than the Wake group but only for emotionally neutral lists. False memories of both negative and neutral critical lures were greater following sleep relative to wake. Morning and Evening control groups (20-minute delay) did not differ ruling out circadian accounts for these differences. These results support the adaptive function of sleep in both promoting the consolidation of veridical declarative memories and in extracting unifying aspects from memory details.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Italy 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 100 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Student > Bachelor 16 15%
Student > Doctoral Student 10 10%
Student > Master 9 9%
Researcher 7 7%
Other 27 26%
Unknown 19 18%
Readers by discipline Count As %
Psychology 46 44%
Agricultural and Biological Sciences 9 9%
Neuroscience 8 8%
Medicine and Dentistry 7 7%
Computer Science 3 3%
Other 3 3%
Unknown 29 28%