Evidence map›Paper›PMID 40457036›Full record

ArticleCognitive, affective & behavioral neuroscience2025

Evolving object concepts in the adult brain: An electrophysiological investigation.

Kerstin Unger, Melanie Kacin, Rasha Abdel Rahman

Abstract read
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In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

Kerstin Unger *Queens College, City University of New York, 65 - 30 Kissena Blvd, Flushing, NY, 11367, USA. kerstin.unger@qc.cuny.edu.
Melanie Kacin *Queens College, City University of New York, 65 - 30 Kissena Blvd, Flushing, NY, 11367, USA.
Rasha Abdel RahmanHumboldt-Universität zu Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated how the gradual acquisition of object meaning influences different phases of object recognition. Using an interleaved learning and testing procedure, participants were repeatedly exposed to unfamiliar, rare objects while learning about their meaning and function. Across multiple test sessions, event-related brain potentials (ERPs) were recorded to examine changes in early perceptual processing (P1) and later integrative phases of object recognition (N400, late positive complex/LPC) for initially unfamiliar versus well-known objects. Initially, behavioral and ERP differences between rare and familiar objects were pronounced but gradually diminished with learning. For tasks in which object meaning was irrelevant (familiarity classification and naming), increased object knowledge was reflected in a posterior negativity in the N400 window. When object meaning was directly task-relevant (semantic classification), detailed knowledge acquisition was tracked by a later centroparietal component in the LPC window (late relatedness effect). A follow-up test 6 months later showed that these effects were not only remarkably stable but continued to evolve beyond the training period. In contrast, early perceptual processes (P1) showed limited sensitivity to the accumulation of object-specific semantic knowledge. Overall, the findings demonstrate that repeated visual exposure and incremental learning facilitate the deep integration of novel objects into existing semantic networks.

Indexed as

BrainConcept FormationEvoked PotentialsLearningPattern Recognition, VisualRecognition, PsychologyAdultElectroencephalographyFemaleHumansMalePhotic StimulationReaction TimeSemanticsYoung AdultConcept formationEvent-related brain potentialsKnowledge acquisition

Identifiers

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Registered trials

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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.