Decoding episodic autobiographical memory in naturalistic virtual reality.

ABSTRACT: Episodic autobiographical memory (EAM) is a long-term memory system of personally experienced events with their context - what, where, when - and subjective elements, e.g., emotions, thoughts, or self-reference. EAM formation has rarely been studied in a controlled, real-life-like paradigm, and there is no predictive model of long-term retrieval from self-rated subjective experience at encoding. The present longitudinal study, with three surprise free recall memory tests immediately, one-week and one-month after encoding, investigated incidental encoding of EAM in an immersive virtual environment where 30 participants either interacted with or observed specific events of varying emotional valences with simultaneous physiological recordings. The predictive analyses highlight the temporal dy

SUBMITTER: Lenormand D 

PROVIDER: S-EPMC11514229 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature