The learning-oddball paradigm: Data of 24 separate individuals illustrate its potential usefulness as a new clinical tool
Publication year
2013Author(s)
Number of pages
8 p.
Source
Clinical Neurophysiology, 124, 3, (2013), pp. 514-521ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC SMN
SW OZ BSI OLO
Rehabilitation
SW OZ DCC NRP
Journal title
Clinical Neurophysiology
Volume
vol. 124
Issue
iss. 3
Languages used
English (eng)
Page start
p. 514
Page end
p. 521
Subject
Biological psychology; DCN PAC - Perception action and control; DI-BCB_DCC_Theme 3: Plasticity and Memory; Learning and Plasticity; Neuropsychology and rehabilitation psychology; Biologische psychologie; Neuro- en revalidatiepsychologieAbstract
OBJECTIVE: In a previous article reporting group data, we presented event-related potentials (ERPs), which were evoked by randomly presented target stimuli in a 'learning-oddball' task. These ERPs contained a large N2-P3 complex that decreased and a Contingent Negative Variation (CNV) that increased when the targets were presented in a regular fashion. Using the learning-oddball paradigm, the aim of the present paper was to determine ERP effects of introducing regularity in individual participants. METHODS: The data from the previous study were re-analyzed at the level of the individual participant, extracting individual sigmoid curves by means of wavelet-denoising and focusing on RTs, and CNV, N2, and P3 ERP components. RESULTS: Most participants displayed significant sigmoid curves with respect to the P3 component (22 of the 24 participants - 22/24), the N2 component (20/24), and/or the CNV (19/24) component. In contrast, reaction times (RTs) appeared less sensitive to incidental learning (15/24). Modest correlations were observed between RTs and N2 component amplitudes. CONCLUSIONS: It is possible to extract significant ERP changes to introducing regularity in individual participants. SIGNIFICANCE: Tracking ERP changes within the learning-oddball paradigm might be a useful tool to assess pattern detection capacities in individual patients.
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