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Poster Session C: Friday, August 15, 2:00 – 5:00 pm, de Brug & E‑Hall

Trait depression predicts negatively biased encoding and retrieval of ambivalent movie: interoceptive and lexical analysis

Jinwoo Lee¹, Kyungjin Oh, Junhyung Kim, Jiook Cha¹; ¹Seoul National University

Presenter: Jinwoo Lee

Ambivalent affect, the most naturalistic emotion in daily life, is largely modulated by individual traits. In particular, trait depression weights negative affect in the recall of ambivalent events. However, as trait-affect interplay is differently expressed across affective contexts and memory stages - encoding and retrieval, their relationship and mechanism should be specified along with these dimensions. We predicted that 1) altered interoception would mediate trait depression and negative encoding of affective context and 2) its negatively biased retrieval would be manifested in free languages. To test them, we combined movie-watching and free-recall paradigm, deep representational learning of EEG and ECG, and LLM-based sentiment analysis of recall text. We found that trait depression predicted ambivalent encoding of pleasant scenes via inter-subject similar interoceptive representation. Also, trait depression predicted negatively biased recall of ambivalent scenes. We discuss the potential of ambivalent processing as a depression-specific risk marker and its clinical implications.

Topic Area: Memory, Spatial Cognition & Skill Learning

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