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What episodic memory reveals about the default mode network

Maureen Ritchey

preprint DOI: 10.31234/osf.io/7d9ft_v1 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review
Topics Default mode network
Key findings Episodic memory provides a lens for understanding the DMN's functional organization along content and specificity dimensions.

Abstract

Episodic memories showcase the complexity of internal thought: they bind together people, places, and events into coherent narratives, and they carry a subjective quality that sets them apart from other mental representations. In this review, I argue that episodic memory provides a powerful lens for understanding the functional organization of the default mode network (DMN). Recent research reveals that memory-related functions of the DMN are organized along at least two key dimensions— content and specificity. Distinct areas support memory for different types of content (e.g., object, spatial, and social information) and with varying levels of specificity (e.g., detailed episodes vs general schemas). Together, DMN pathways can support the diversity of episodic thought, imbuing multidimensional representations with subjective experience. By delineating how these pathways correspond with memory features, we can gain insight into how the DMN builds and updates internal narratives across cognitive domains.