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…The experimental design employed a two-factor repeated measures within-subject design…
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- Jun 26, 2026
100 results for "repeated measures design" · page 2 of 10 · ranked by relevance
…The experimental design employed a two-factor repeated measures within-subject design…
…Participants completed repeated runs of a P300 spelling / selection task, enabling study…
A longitudinal EEG dataset from 13 infants recorded at 4, 8, and 12 months of age, comprising 48 recording sessions. The dataset includes test-retest reliability assessments at 4 months (11 infants with complete longitudinal data, 2 infants with reliability data only) and was used to develop and validate APPLESEED, an automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG data. This example dataset accompanies the 2022 APPLESEED pipeline publication in Developmental Cognitive Neuroscience and demonstrates the application of entropy-based EEG analysis methods in early human development. The dataset is part of a larger longitudinal study initially described in Puglia et al. (2020).
…protocol and a longitudinal (repeated-session) training design, supporting research on motor…
The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
…Experimental Design](#1-experimental-design) - [1.1 Study Overview](#11-study-overview…
The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
…Experiment Design: We investigated the neural signals recorded using a 64-channel…