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.
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.
Authors: André Schwertner; Maxciel Zortea; Felipe Vasconcelos Torres; Leticia Ramalho; Camila Fernanda da Silveira Alves; Guilherme Lannig; Iraci L S Torres; Felipe Fregni; Gustavo Gauer; Wolnei Caumo Journal: Front Neurosci Date: 2019-09-13 Impact factor: 4.677