Content dependence of the electrophysiological correlates of recollection.

Neuroimage

Center for the Neurobiology of Learning and Memory, University of California-Irvine, Irvine, CA 92697-3800, USA.

Published: January 2008

The neural correlates of episodic retrieval ('recollection') have been shown to differ according to the content of retrieved episodes. It has been hypothesized that these content-dependent differences reflect the 'reinstatement' of encoding-related processes or representations at the time of recollection. It remains unclear, however, whether these effects directly reflect the recollection of differential episodic content, as would be predicted by the reinstatement hypothesis, or whether they are instead associated with processes that are contingent on successful recollection. To address this issue, the present study employed event-related potentials (ERPs), permitting the investigation of the temporal dynamics of content-dependent neural effects during retrieval, and in particular, their onset with respect to well-established ERP correlates of recollection, such as the left parietal old-new effect. Subjects studied a series of words that were each presented in the context of one of two encoding tasks. One task required the covert generation of a sentence incorporating each word, whereas the other required imagining the object corresponding to each word within a superimposed scenic picture. Memory for the words was subsequently tested with the 'remember/know' procedure. ERPs elicited by recollected words differed according to the prior encoding history of the word, beginning at approximately 300 ms following word onset. These content-dependent ERP differences were maximal over the anterior scalp and, importantly, onset as early as the left parietal old-new effect. The findings demonstrate that content-dependent neural activity during retrieval can occur in a timeframe that is compatible with a direct role in the recollection and representation of episodic information.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175027PMC
http://dx.doi.org/10.1016/j.neuroimage.2007.08.050DOI Listing

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