Evidence map›Paper›PMID 42089872›Full record

ArticlePsychophysiology2026

From Feedback-Learning to Semantic Memory: Can Feedback-Related Brain Activity Predict Object-Word Associations?

Christine Albrecht, Laura Bechtold, Marta Ghio, Christian Bellebaum

Abstract read
In one paragraph

Article in Psychophysiology, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christine AlbrechtFaculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID https://orcid.org/0000-0002-8388-2533
Laura BechtoldFaculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID https://orcid.org/0000-0001-6677-965X
Marta GhioFaculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Christian BellebaumFaculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Funding

Deutsche Forschungsgemeinschaft 467460456
6 · The paper itself

Abstract

This study investigated the neural mechanisms underlying feedback-based learning of novel-object-novel-word associations, focusing on how feedback-locked event-related potentials acquired during learning relate to subsequent memory performance and acquired association strength. Specifically, we examined whether amplitudes of the feedback-related negativity (FRN) and N170 components after immediate or delayed feedback predicted not only free recall and recognition performance, but also N400 priming effects exerted by the novel objects on the novel words as a neural correlate of the strength of the associations acquired through feedback-based learning. Sixty-six healthy young adults learned novel associations receiving either immediate or delayed deterministic feedback, followed by free recall tests and a newly introduced primed recognition task to measure N400 priming effects. Results showed that FRN amplitudes during learning were associated with recognition performance and predicted frontal N400 priming effects, suggesting a link to procedural, automatically retrieved memories. In contrast, N170 amplitudes were related not only to recognition, but also free recall and to general facilitation of semantic retrieval and integration processes, reflected in reduced N400 amplitudes, indicating a role in declarative memory and familiarity-driven processing facilitation. Overall, feedback-based learning elicited robust N400 priming effects, reflecting successful associative integration. However, no consistent effects of feedback timing or valence were observed, likely due to learning strategies adopted based on the deterministic nature of feedback and the anticipation of the memory tasks after learning. These findings highlight distinct contributions of feedback-related ERP components to different forms of memory representations, linking general mechanisms of feedback-based learning to the resulting representations.

Indexed as

Association LearningCerebral CortexEvoked PotentialsFeedback, PsychologicalMental RecallRecognition, PsychologyAdolescentAdultElectroencephalographyFemaleHumansMaleSemanticsYoung Adultfeedback learningFRNN170N400semantic memory

Identifiers

PMID42089872
PMCPMC13148314

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.