Literature DB >> 30392828

Individual differences in working memory and general intelligence indexed by P200 and P300: A latent variable model.

Peera Wongupparaj1, Alexander Sumich2, Megan Wickens3, Veena Kumari4, Robin G Morris5.   

Abstract

A robust relationship between working memory (WM) and general intelligence (g) has been well established. Nevertheless, explanations for this relationship in terms of underlying neurocognitive processes are still inadequate. This study addresses this issue using an individual differences approach in which Central Executive System (CES) and Short-Term Storage (STS) components of WM are measured comprehensively and examined for their relationship with g via event-related potentials components (P200 and P300) as mediators. Participants (n = 115) completed tests of the WM, CES and STS, as well as g. P200 and P300 components were recorded during 3-back WM task performance. Structural equation modelling showed significant negative associations between the P200 latency for target stimuli and CES shifting processes, and between the P300 amplitude for target stimuli and CES inhibition and updating processes. The relationship between CES processes and g was mediated in a localized fashion by the P300 amplitude. These findings further support the notion that the CES has a multidimensional structure and, importantly, reveal that the inhibition and updating functions of the CES are crucial in explaining the relationship between WM and g. Negative relations between ERP indices (P200 latency and P300 amplitude for target stimuli) and g support a neural efficiency hypothesis related to high intelligence.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Central executive system; Event-related potentials; Neural efficiency hypothesis; Short-term storage systems; Structural equation modelling; Working memory

Mesh:

Year:  2018        PMID: 30392828     DOI: 10.1016/j.biopsycho.2018.10.009

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  4 in total

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Journal:  Neurosci Bull       Date:  2022-08-19       Impact factor: 5.271

2.  Can Working Memory Task-Related EEG Biomarkers Measure Fluid Intelligence and Predict Academic Achievement in Healthy Children?

Authors:  Wei Luo; Renlai Zhou
Journal:  Front Behav Neurosci       Date:  2020-01-22       Impact factor: 3.558

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Journal:  Sensors (Basel)       Date:  2020-12-21       Impact factor: 3.576

4.  Event-related potential and neuropsychological function in depressed older adults with cognitive impairment: A correlational study.

Authors:  Zainab Khan; Ashi Saif; Neera Chaudhry; Adila Parveen
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  4 in total

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