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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Implicit learning is better at subjectively defined non-optimal time of day
Julie Delpouve1, Rémy Schmitz1, Philippe Peigneux1
1UR2NF, Neuropsychology and Functional Neuroimaging Research Unit at CRCN, Centre de Recherches en Cognition et Neurosciences, and UNI, ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Belgium.
Cognitive performance fluctuates daily, influenced by individual chronotypes. This study found enhanced implicit learning at subjectively non-optimal times, suggesting personal efficiency periods impact cognitive testing.
Area of Science:
- Cognitive Neuroscience
- Chronobiology
- Psychology
Background:
- Individual differences in morningness-eveningness rhythms affect daily cognitive performance.
- Previous research indicates potential enhancements in implicit memory at non-optimal times of day.
- Subjective factors may also influence periods of peak cognitive efficiency.
Purpose of the Study:
- To investigate the impact of subjectively defined optimal (OP) versus non-optimal (NOP) times on implicit learning.
- To determine if artificial grammar learning (AGL) performance varies based on individual subjective efficiency periods.
- To assess the role of morningness-eveningness scores in relation to subjectively defined cognitive efficiency.
Main Methods:
- Participants completed an artificial grammar learning (AGL) task.
- Learning performance was assessed at subjectively defined optimal (OP) and non-optimal (NOP) times of day.
- Morningness-eveningness questionnaires were administered to assess chronotype.
Main Results:
- Enhanced implicit learning of high-order information was observed at subjectively defined NOP times compared to OP times.
- This enhancement in implicit learning at NOP times was independent of participants' morningness-eveningness scores.
- Subjective assessments of efficiency periods significantly modulated performance on the AGL task.
Conclusions:
- Subjectively defined periods of cognitive efficiency are crucial modulators of performance, particularly in implicit learning tasks.
- Cognitive testing should consider individual subjective efficiency timelines, not solely objective chronotype measures.
- These findings highlight the importance of personal temporal perception in understanding cognitive function variability.
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