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Updated: Oct 12, 2025

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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
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Aging effects and feasibility of statistical learning tasks across modalities
Klara Schevenels1, Nicole Altvater-Mackensen2, Inge Zink1
1Research Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
Summary
Statistical learning (SL) in older adults is not well understood. Aging may impact explicit learning, but simplified tasks show promise for assessing SL in clinical populations.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Aging Research
Background:
- Limited understanding of statistical learning (SL) in healthy older adults.
- Uncertainty regarding aging's impact on modality-specific versus domain-general learning.
- Need for simplified SL tasks suitable for clinical populations.
Purpose of the Study:
- To investigate the effects of aging on statistical learning across auditory, visual, and visuomotor modalities.
- To explore the role of domain-general processes in age-related changes in explicit learning.
- To develop and validate feasible SL tasks for elderly and patient populations.
Main Methods:
- Two experiments involving 93 younger and older adults.
- Assessment of statistical learning across auditory, visual, and visuomotor modalities.
- Utilized explicit posttests in Experiment 1 and developed simplified tasks in Experiment 2.
Main Results:
- Aging effects on statistical learning were observed when explicit posttests were used (Experiment 1).
- Hypothesized decline in domain-general processes influencing explicit learning in older adults.
- Simplified tasks maintained SL across modalities, except auditory, in Experiment 2.
Conclusions:
- Aging may particularly affect explicit statistical learning, potentially due to domain-general declines.
- Simplified statistical learning tasks show potential for assessing learning in elderly and patient groups.
- Auditory statistical learning may be more susceptible to age-related decline or task demands.

