An integrative model of network activity during episodic memory retrieval and a meta-analysis of fMRI studies on source memory retrieval.

Abstract:

:Functional magnetic resonance imaging studies on episodic memory (EM) retrieval have used a variety of paradigms/contrasts to yield many diverse findings, which raises the need for an integrative multifactorial view. To address this need, I begin by proposing a fourstage, quasi-sequential model of network activity during episodic remembering, termed "the Retrieval, Experience, and Decision (RED) model." The model combines EM-retrieval macro-functions (retrieval effort, retrieval, subjective experience of remembering, and decision effort), macro-structures (frontoparietal control network, default mode network, and medial temporal lobe) and essential experimental factors (encoding strength, retrieval specificity, retrieval confidence, and pretrial expectation) into a broad, unified frame of reference. Next, to evaluate the validity of the model, I formulate four multifactorial predictions aimed at three distinct types of source-memory contrast (source-hit > source-miss, source-hit > item-hit, and source-hit > correct-rejection), and test them using a meta-analytic method. The results of the meta-analyses are largely consistent with the predictions, supporting the RED. In conclusion, the RED provides an overarching framework that configures coherently with many representative findings in the literature, thereby offering a useful foundation capable of guiding further research efforts on related topics.

journal_name

Brain Res

journal_title

Brain research

authors

Kim H

doi

10.1016/j.brainres.2020.147049

subject

Has Abstract

pub_date

2020-11-15 00:00:00

pages

147049

eissn

0006-8993

issn

1872-6240

pii

S0006-8993(20)30407-8

journal_volume

1747

pub_type

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