Evidence map›Paper›PMID 42877574›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

The late positive component in recognition memory is linked to mnemonic evidence accumulation.

Jie Sun, Daniel Feuerriegel, Mia Nightingale, Adam F Osth

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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5 · Who and what money

Authors and funding

4 authors.

Jie SunMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9848-3888
Daniel FeuerriegelMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-0357-1920
Mia NightingaleMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
Adam F OsthMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recognising objects from memory requires an integration of sensory and mnemonic information. This process has been theorised to occur via a stochastic evidence accumulation process implemented within the parietal cortex. Recent electroencephalographic (EEG) evidence indicates that the widely studied parietal Late Positive Component (LPC) shows characteristics of such a mnemonic accumulation signal. Here, we formally investigated this hypothesis using generative computational modelling that links a trial-level memory strength variable in the Diffusion Decision Model (DDM) with LPC amplitudes prior to the time of the decision. We recorded EEG from 24 participants making recognition judgements based on either studied or novel words. Each participant completed up to three testing sessions. We replicated recent findings that the LPC ramps up and peaks around the time of the decision and corresponding motor response. LPC amplitudes also covaried with accuracy and response time, as expected of a neural correlate of memory strength. By fitting DDMs to LPC amplitudes and behavioural data using specialised neural network tools, we demonstrate that LPC amplitudes are selectively associated with the rate of evidence accumulation, signifying memory strength. This association was stronger for previously studied words compared to novel words, and strongest at the time window immediately prior to the recognition decision. Our findings, therefore, recast the LPC as a neural signature of mnemonic strength linked to the rate of evidence accumulation during recognition memory decisions.

Indexed as

BrainRecognition, PsychologyComputer SimulationDecision MakingElectroencephalographyFemaleHumansMaleModels, NeurologicalReaction TimeYoung Adultdiffusion decision modeljoint modelling behaviours and EEGmnemonic accumulationrecognition memorythe late positive component

Identifiers

PMID42877574
PMCPMC13662653

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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.