Protocol and preregistration for the CODEC project: measuring, modelling and mechanistically understanding the nature of cognitive variability in early childhood

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: July 26, 2024

Abstract Background Children’s cognitive performance fluctuates across multiple timescales. However, fluctuations have often been neglected in favour of research into average performance, limiting the unique insights abilities and development that variability may afford. Preliminary evidence suggests greater is associated with increased symptoms neurodevelopmental disorders, differences behavioural neural functioning. The relative dearth empirical work on variability, historically limited due to a lack suitable data quantitative methodology, has left crucial questions unanswered, which CODEC (COgnitive Dynamics Early Childhood) study aims address. Method cohort an accelerated 3-year longitudinal encompasses 600 7-to-10-year-old children. Each year includes ‘burst’ week (3 times per day, 5 days week) measurements five domains (reasoning, working memory, processing speed, vocabulary, exploration), conducted both classrooms at home through experience sampling assessments. We also measure academic outcomes external factors hypothesised predict including sleep, mood, motivation background noise. A subset 200 children (CODEC-MRI) are invited for two deep phenotyping sessions (in 1 3 study), structural functional magnetic resonance imaging, eye-tracking, parental questionnaire-based demographic psychosocial measures. will quantify developmental changes using Dynamic Structural Equation Modelling, allowing us simultaneously capture multilevel structure trials nested sessions, days, classrooms. Discussion CODEC’s design allows range different domains, ages, temporal resolutions. deep-phenotyping arm test hypotheses concerning role mind wandering, strategy exploration, brain structure. Due nature, we able measures baseline long-term outcomes. In summary, combining sampling, design, phenotyping, cutting-edge statistical methodologies better understand causes, consequences Trial registration ClinicalTrials.gov - NCT06330090

Language: Английский

Protocol and preregistration for the CODEC project: Measuring, modelling and mechanistically understanding the nature of cognitive variability in early childhood

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Background Children’s cognitive performance fluctuates across multiple timescales. However, fluctuations have often been neglected in favour of research into average performance, limiting the unique insights abilities and development that variability may afford. Preliminary evidence suggests greater is associated with increased symptoms neurodevelopmental disorders, differences behavioural neural functioning. The relative dearth empirical work on variability, historically limited due to a lack suitable data quantitative methodology, has left crucial questions unanswered, which CODEC (COgnitive Dynamics Early Childhood) study aims address. Method cohort an accelerated 3-year longitudinal encompasses 600 7-to-10-year-old children. Each year includes ‘burst’ week (3 times per day, 5 days week) measurements five domains (reasoning, working memory, processing speed, vocabulary, exploration), conducted both classrooms at home through experience sampling assessments. We also measure academic outcomes external factors hypothesised predict including sleep, mood, motivation background noise. A subset 200 children (CODEC-MRI) are invited for two deep phenotyping sessions (in 1 & 3 study), structural functional magnetic resonance imaging, eye-tracking, parental questionnaire-based demographic psychosocial measures. will quantify developmental changes using Dynamic Structural Equation Modelling, allowing us simultaneously capture multilevel structure trials nested sessions, days, classrooms. Discussion CODEC’s design allows range different domains, ages, temporal resolutions. deep-phenotyping arm test hypotheses concerning role mind wandering, strategy exploration, brain structure. Due nature, we able measures baseline long-term outcomes. In summary, combining sampling, design, phenotyping, cutting-edge statistical methodologies better understand causes, consequences Trialregister: ClinicalTrials.gov - NCT06330090

Language: Английский