| Literature DB >> 27335409 |
Zhifang Ye1, Bi Zhu1, Liping Zhuang1, Zhonglin Lu2, Chuansheng Chen3, Gui Xue4.
Abstract
UNLABELLED: The neural processes giving rise to human memory strength signals remain poorly understood. Inspired by formal computational models that posit a central role of global matching in memory strength, we tested a novel hypothesis that the strengths of both true and false memories arise from the global similarity of an item's neural activation pattern during retrieval to that of all the studied items during encoding (i.e., the encoding-retrieval neural global pattern similarity [ER-nGPS]). We revealed multiple ER-nGPS signals that carried distinct information and contributed differentially to true and false memories: Whereas the ER-nGPS in the parietal regions reflected semantic similarity and was scaled with the recognition strengths of both true and false memories, ER-nGPS in the visual cortex contributed solely to true memory. Moreover, ER-nGPS differences between the parietal and visual cortices were correlated with frontal monitoring processes. By combining computational and neuroimaging approaches, our results advance a mechanistic understanding of memory strength in recognition. SIGNIFICANCE STATEMENT: What neural processes give rise to memory strength signals, and lead to our conscious feelings of familiarity? Using fMRI, we found that the memory strength of a given item depends not only on how it was encoded during learning, but also on the similarity of its neural representation with other studied items. The global neural matching signal, mainly in the parietal lobule, could account for the memory strengths of both studied and unstudied items. Interestingly, a different global matching signal, originated from the visual cortex, could distinguish true from false memories. The findings reveal multiple neural mechanisms underlying the memory strengths of events registered in the brain.Entities:
Keywords: DRM; fMRI; false memory; global matching models; neural global pattern similarity; recognition
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Year: 2016 PMID: 27335409 PMCID: PMC6601745 DOI: 10.1523/JNEUROSCI.0425-16.2016
Source DB: PubMed Journal: J Neurosci ISSN: 0270-6474 Impact factor: 6.167