Literature DB >> 22020270

Event related potentials to digit learning: tracking neurophysiologic changes accompanying recall performance.

Marijtje L A Jongsma1, Niels J H M Gerrits, Clementina M van Rijn, Rodrigo Quian Quiroga, Joseph H R Maes.   

Abstract

The aim of this study was to track recall performance and event-related potentials (ERPs) across multiple trials in a digit-learning task. When a sequence is practiced by repetition, the number of errors typically decreases and a learning curve emerges. Until now, almost all ERP learning and memory research has focused on effects after a single presentation and, therefore, fails to capture the dynamic changes that characterize a learning process. However, the current study used a free-recall task in which a sequence of ten auditory digits was presented repeatedly. Auditory sequences of ten digits were presented in a logical order (control sequences) or in a random order (experimental sequences). Each sequence was presented six times. Participants had to reproduce the sequence after each presentation. EEG recordings were made at the time of the digit presentations. Recall performance for the control sequences was close to asymptote right after the first learning trial, whereas performance for the experimental sequences initially displayed primacy and recency effects. However, these latter effects gradually disappeared over the six repetitions, resulting in near-asymptotic recall performance for all digits. The performance improvement for the middle items of the list was accompanied by an increase in P300 amplitude, implying a close correspondence between this ERP component and the behavioral data. These results, which were discussed in the framework of theories on the functional significance of the P300 amplitude, add to the scarce empirical data on the dynamics of ERP responses in the process of intentional learning.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22020270     DOI: 10.1016/j.ijpsycho.2011.10.004

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  3 in total

1.  Tracking neural correlates of successful learning over repeated sequence observations.

Authors:  Natalie A Steinemann; Clara Moisello; M Felice Ghilardi; Simon P Kelly
Journal:  Neuroimage       Date:  2016-05-05       Impact factor: 6.556

2.  Single Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence.

Authors:  Emad-Ul-Haq Qazi; Muhammad Hussain; Hatim Aboalsamh; Aamir Saeed Malik; Hafeez Ullah Amin; Saeed Bamatraf
Journal:  Front Hum Neurosci       Date:  2017-01-20       Impact factor: 3.169

3.  P300 correlates with learning & memory abilities and fluid intelligence.

Authors:  Hafeez Ullah Amin; Aamir Saeed Malik; Nidal Kamel; Weng-Tink Chooi; Muhammad Hussain
Journal:  J Neuroeng Rehabil       Date:  2015-09-23       Impact factor: 4.262

  3 in total

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