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ABSTRACT: Introduction
This paper describes an experimental work using machine learning (ML) as a "decoding for interpretation" to understand the brain's physiology better.Methods
Multivariate pattern analysis (MVPA) was used to decode the patterns of event-related potentials (ERPs, brain responses to stimuli) in a visual oddball task. The ERPs were measured before (run 1) and after (30 min-run 2, 90 min-run 3) a single dose of an energy dietary supplement with only a small amount of caffeine.Results
Its effect on ERPs was successfully decoded. Above-chance decoding accuracies were obtained between ∼350 and 450 ms (corresponds to P3 peak) after stimulus onset for both the placebo and study groups, whereas between ∼200 and 260 ms (corresponds to P2 waveform) only in the placeb
SUBMITTER: Maciejewska KJ
PROVIDER: S-EPMC12279804 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature