2022
DOI: 10.22541/au.167156296.67178509/v1
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Variability of Single Trial ERP Measures Within a Session is Systematic and Nonlinear

Abstract: Averaging multiple event-related potential (ERP) segments distorts the brain’s response to a stimulus given the false assumptions that the ERP signal is invariant and hidden by background noise. Our Single Trial Peaks (STP) procedure measures amplitude and latency of multiple peaks in each segment based on the peak latencies of the individual’s averaged ERP. This study examined correct trial data from 70 adults performing two repetitions of a speeded visual flanker task. STP peak data (P1, N1, P2, N2, and P3) … Show more

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Cited by 2 publications
(2 citation statements)
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“…One possible explanation is the lower signal-to-noise ratio of a single trial of the brain's electrical signal. The electrical signals in the brain induced by the stimulus or response are assumed to be small because they are mixed with continuous background activity irrelevant to the given stimulus or response (Blythe LaGasse et al 2022). Based on our results, we suggest that the averaged brain network flexibility over trials is useful for predicting inter-individual differences in skilled motor performance, but not for explaining trial-by-trial variability in individual performance.…”
Section: Discussionmentioning
confidence: 86%
“…One possible explanation is the lower signal-to-noise ratio of a single trial of the brain's electrical signal. The electrical signals in the brain induced by the stimulus or response are assumed to be small because they are mixed with continuous background activity irrelevant to the given stimulus or response (Blythe LaGasse et al 2022). Based on our results, we suggest that the averaged brain network flexibility over trials is useful for predicting inter-individual differences in skilled motor performance, but not for explaining trial-by-trial variability in individual performance.…”
Section: Discussionmentioning
confidence: 86%
“…As with behavioral data, analyses of signal dispersion properly involve the coefficient of variation, a ratio that divides standard deviations by corresponding means, thereby representing relative variability. By this standardizing procedure, dispersions within and across groups, measures, tasks, and stimuli types can be subjected to statistical analysis (for an example of the use of coefficient of variation in ERP, see LaGasse et al., 2022; for fMRI, see Tuovinen et al., 2020). One idea would be to apply this approach to within‐participants examinations of L1 and L2 processing in ERP (see Grey, 2023) and to look for relationships in variability across the individuals’ two languages.…”
mentioning
confidence: 99%