AI Article Synopsis
- - Environments play a crucial role in child development, with some children facing more stable and predictable early experiences than others.
- - Recent studies using wearable sensors analyze environmental variability over time and identify three types of predictability: periodicities, stability, and contingency.
- - Understanding these variations in environments may lead to different developmental outcomes, emphasizing the need for future research on their impact on brain function and behavior.
Article Abstract
Environments are dynamic and complex. Some children experience more predictable early life environments than others. Here, we consider how moment-by-moment complexity and predictability in our early environments influence development. New studies using wearable sensors are quantifying this environmental variability at a fine temporal resolution across hierarchically structured physical and social features. We identify three types of predictability: periodicities ('at X time intervals, Y happens'), stability ('given state, state is known'), and contingency ('when I do X, Y happens'). We discuss how the temporal dynamics of environments may differ between individuals and the diverse developmental neural pathways through which this may influence outcomes, such as central nervous system (CNS) arousal and executive control. Finally, we discuss practical consequences and directions for future research.
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| http://dx.doi.org/10.1016/j.tics.2024.11.012 | DOI Listing |
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