ArticleComputational brain & behavior2025
Heightened familiarity drives the negative retrieval bias in depression: Evidence from the PRISM task.
Article in Computational brain & behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Major Depressive Disorder (MDD) is associated with emotional memory deficits, but treatment is limited by a poor understanding of the mechanisms that drive such behavior. Our previous work linked depression to a negative retrieval bias rooted in abnormal evidence accumulation (Cataldo et al., 2023). The Drift Diffusion Model can account for this bias in two ways: increased familiarity, in which depression strengthens evidence for all negative memories-even false ones; or motivated retrieval, in which depression increases the propensity to judge negative items as "old"-even if they are weak. Thus, it is unclear whether depression affects the quality of negative memories or the way they are acted upon. The current work distinguishes these accounts via the Parceling Recognition Into Strength and Motivation (PRISM) task, which isolates memory from decision processes by extending single-item recognition to forced choices between targets and lures (Starns et al., 2018). Though motivation to respond "old" can bias single-item judgments, it should play little or no role when judging
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