Literature DB >> 25765993

Principal component analysis of the memory load effect in a change detection task.

Li Zhou1, Robin D Thomas1.   

Abstract

Previous research using the change detection task has found little or no relationship between P3 amplitude and working memory load. This contrasts with findings from other paradigms that indicate a decrease in P3 amplitude with increases in working memory load. We adopted a principal component analysis strategy to resolve this discrepancy. After ERPs were decomposed, the P3 component decreased in amplitude when the memory load increased. Its amplitude was also associated with individuals' working memory capacity. In conclusion, P3 plays a critical role in change detection task as it does in other working memory tasks.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Change detection task; Event-related potentials; P3; PCA; Visual working memory

Mesh:

Year:  2015        PMID: 25765993     DOI: 10.1016/j.visres.2015.01.028

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  5 in total

1.  Does concealing familiarity evoke other processes than concealing untrustworthiness? - Different forms of concealed information modulate P3 effects.

Authors:  René Koeckritz; André Beauducel; Johanna Hundhausen; Anika Redolfi; Anja Leue
Journal:  Personal Neurosci       Date:  2019-07-23

2.  Controlling Unpleasant Thoughts: Adjustments of Cognitive Control Based on Previous-Trial Load in a Working Memory Task.

Authors:  Luiza Bonfim Pacheco; Jéssica S Figueira; Mirtes G Pereira; Leticia Oliveira; Isabel A David
Journal:  Front Hum Neurosci       Date:  2020-01-24       Impact factor: 3.169

3.  Working Memory Performance for Differentially Conditioned Stimuli.

Authors:  Richard T Ward; Salahadin Lotfi; Daniel M Stout; Sofia Mattson; Han-Joo Lee; Christine L Larson
Journal:  Front Psychol       Date:  2022-01-25

4.  Better Not to Know? Emotion Regulation Fails to Benefit from Affective Cueing.

Authors:  Siwei Liu; Marie-Anne Vanderhasselt; Juan Zhou; Annett Schirmer
Journal:  Front Hum Neurosci       Date:  2016-11-25       Impact factor: 3.169

5.  Common Methodology for Cardiac and Ocular Artifact Suppression from EEG Recordings by Combining Ensemble Empirical Mode Decomposition with Regression Approach.

Authors:  Rajesh Patel; K Gireesan; S Sengottuvel; M P Janawadkar; T S Radhakrishnan
Journal:  J Med Biol Eng       Date:  2017-01-04       Impact factor: 1.553

  5 in total

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