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Most prior neural work is cross-sectional & relies on neighborhood pollution. This is problematic because a myriad of neighborhood- and individual-level factors are associated with both brain development and pollution. Making it challenging to disentangle!

Here, we make an attempt to break this link by examining the effect of wildfire-specific pollution on within-child neural & cognitive change. We do this by matching a child’s DOB, visit date, and location to high-resolution wildfire PM2.5 data. Constructing both a perinatal and childhood exposure.

As expected, our wildfire exposures show no correlation with socioeconomic status – making it a useful method for isolating pollution. It is important to separate this design aspect from non-equal treatment effects (which could follow SES gradients).

Using longitudinal modeling, we find that less childhood wildfire PM2.5 exposure leads to increased developmental neural and cognitive trajectories over adolescence. Less exposure ⬇️, more development ⬆️. These results survive robustness testing.

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We find no effect of additional perinatal wildfire smoke exposure on later adolescent development. This could be for a myriad of reasons: shorter exposure window, longer period between exposure & outcomes, and/or protective factors.

This project has been in the pipeline for a very long time, and it joins the growing body of work showing the adverse effects of PM2.5 exposure during childhood. Wildfires represent a small but increasing proportion of air pollution in the US.